CN106294455A - A kind of network analysis method and device - Google Patents

Abstract

The embodiment of the present invention provides a kind of network analysis method and device, and method therein comprises the steps that the object construction characteristic obtaining target social networks；According to described object construction characteristic, determine the target characteristic of described target social networks；The target labels for identifying described target characteristic is generated for described target social networks.The present invention can be automatically generated for identifying the target labels of target social networks target characteristic, in order to user can understand the feature of this target social networks by target labels with fast and easy, intelligent high, easy to operate.

Description

A kind of network analysis method and device

Technical field

The present invention relates to communication technical field, be specifically related to a kind of network analysis method and device.

Background technology

Along with the development of communication network technology, in actual application, communicated by social networks and have become asSet up a kind of mode of contact between user, such as, in the group in various instant messagings are applied i.e. is oneThe social networks that poly-power is stronger, user is by i.e. can carrying out i.e. with other users in group after adding this groupShi Tongxin.But, in actual application scenarios, the architectural feature of some social networks determines for userWhether add this social networks also to play and important effect, such as, select to add a social activity as userDuring network, often it should be understood that some data informations of this social networks and then know the one of this social networksA little features, in order to decide whether to add this social networks, can only go to check by user oneself in prior artSocial networks data, social network user composition etc. correlative factor is to obtain social networks feature, thisThe mode solving social networks is extremely inefficient, it is impossible to quickly know some inner structural features of social networks.

Summary of the invention

The embodiment of the present invention provides a kind of network analysis method and device, can be automatically generated for identifying target societyHand over the target labels of network objectives feature, in order to user can understand this target with fast and easy by target labelsThe feature of social networks, intelligent high, easy to operate.

First aspect present invention provides a kind of network analysis method, it may include:

Obtain the object construction characteristic of target social networks；

According to described object construction characteristic, determine the target characteristic of described target social networks；

The target labels for identifying described target characteristic is generated for described target social networks.

Second aspect present invention provides a kind of network analyzing apparatus, it may include:

Acquisition module, for obtaining the object construction characteristic of target social networks；

Determine module, for according to described object construction characteristic, determine the mesh of described target social networksMark feature；

Generation module, for generating the target mark for identifying described target characteristic for described target social networksSign.

Implement the embodiment of the present invention, have the advantages that

The embodiment of the present invention, obtains the object construction characteristic of target social networks, according to this object constructionCharacteristic, determines the target characteristic of target social networks, generates for this target social networks and is used for identifying thisThe target labels of target characteristic, this mode can be automatically generated for identifying target social networks target characteristicTarget labels, in order to user can understand the feature of this target social networks by target labels with fast and easy,Intelligent high, easy to operate.

Accompanying drawing explanation

In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to enforcementIn example or description of the prior art, the required accompanying drawing used is briefly described, it should be apparent that, describe belowIn accompanying drawing be only some embodiments of the present invention, for those of ordinary skill in the art, do not payingOn the premise of going out creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.

The flow chart of a kind of network analysis method that Fig. 1 provides for the embodiment of the present invention；

The flow chart of the another kind of network analysis method that Fig. 2 provides for the embodiment of the present invention；

The flow chart of another network analysis method that Fig. 3 provides for the embodiment of the present invention；

A kind of target characteristic that Fig. 4 provides for the embodiment of the present invention compares figure with target labels；

The structural representation of a kind of network analyzing apparatus that Fig. 5 provides for the embodiment of the present invention；

A kind of structural representation determining module that Fig. 6 provides for the embodiment of the present invention；

The structural representation of the another kind of network analyzing apparatus that Fig. 7 provides for the embodiment of the present invention.

Detailed description of the invention

Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clearlyChu, be fully described by, it is clear that described embodiment be only a part of embodiment of the present invention rather thanWhole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creationThe every other embodiment obtained under property work premise, broadly falls into the scope of protection of the invention.

Below in conjunction with accompanying drawing 1-accompanying drawing 4, the network analysis method providing the embodiment of the present invention is situated between in detailContinue.

Refer to Fig. 1, for the flow chart of a kind of network analysis method that the embodiment of the present invention provides；The method canComprise the following steps S100-step S102.

S100, obtains the object construction characteristic of target social networks；

In specific embodiment, target social networks can be to provide the channel being in communication with each other between user, such asTarget social networks can be the group in instant messaging application, then the user being successfully joined this group is the most permissibleCommunicated with any one user in group or multiple user by this group.Target social networksObject construction characteristic is for representing the primary attribute of described target social networks, and primary attribute includes this meshThe mark time of setting up of social networks, multidate information (the speech situation of user in such as target social networks, are sent outActive situation of cloth etc.) and this target social networks in user type accounting (such as target social networkUser's sex accounting, age accounting etc. in network) in any one.

S101, according to described object construction characteristic, determines the target characteristic of described target social networks；

In specific embodiment, may determine that target social networks according to acquired object construction characteristicTarget characteristic, concrete determination method can be to judge whether the value of object construction characteristic meets to presetFeature boundary condition, according to the difference of object construction characteristic, default feature boundary condition is the most different,Determined by target characteristic the most different, such as, if object construction characteristic is the female in target social networksProperty accounting, then the feature boundary condition preset can be the value of women accounting more than predetermined threshold value, final institute is reallyThe target characteristic of fixed target social networks is that women is the most；If it is social that object construction characteristic is targetNetwork set up the time, then the feature boundary condition preset can be the time of setting up less than or equal to 30 days, and societyHand over the number of users in network less than or equal to 30, final determined by the target characteristic of target social networks be this societyFriendship network is the network that scale is smaller.

S102, generates the target labels for identifying described target characteristic for described target social networks.

In specific embodiment, check for the ease of user, generate for target social networks and be used for identifying this targetThe target labels of feature.Target labels can the most simple and clear target characteristic that must show target social networks,Therefore see that this target labels can know the feature of this target social networks immediately as user, and decide whetherAdd this social networks.As shown in Figure 4, enter as a example by the group in target social networks is applied for instant messagingRow explanation, if women accounting is bigger in group, then becomes the target labels of " younger sister is many " for this all living creatures；If groupThe establishment time within 30 days, and in group, number is less than or equal to 30, then for this all living creatures's one-tenth " newly-built "Target labels, if having speech in nearly 7 days in group, then becomes the target labels of " enlivening " for this all living creatures, if groupInterior age bracket be user's accounting after 90s more time, then for this all living creatures become " rejuvenation " target labels, ifWhen user's accounting is more after age bracket is 60 in group, then become the target labels of " aging " for this all living creatures,If activity is in the registration stage in group, then become the target labels of " movable " for this all living creatures.

Other are social to log in the login in the range of the first mobile terminal to search predeterminable range of this target social networksSecond mobile terminal of network, and push this target social networks mark and target mark to the second mobile terminalSigning, user sees that this target labels can know some features of this target social networks, and fast quick decision immediatelyDetermine whether add this target social networks.

The embodiment of the present invention, obtains the object construction characteristic of target social networks, according to this object constructionCharacteristic, determines the target characteristic of target social networks, generates for this target social networks and is used for identifying thisThe target labels of target characteristic, this mode can be automatically generated for identifying target social networks target characteristicTarget labels, in order to user can understand the feature of this target social networks by target labels with fast and easy,Intelligent high, easy to operate.

Refer to Fig. 2, for the flow chart of the another kind of network analysis method that the embodiment of the present invention provides；The methodS200-step S203 can be comprised the following steps.

S200, obtains the object construction characteristic of target social networks；

Embodiment of the present invention step S200 refer to embodiment step S100 of Fig. 1, does not repeats them here.

S201, it is judged that whether the value of described object construction characteristic meets the feature boundary condition preset；

In specific embodiment, object construction characteristic can be the time of setting up of target social networks, targetWomen in activity data, target social networks in the speech situation of user, target social networks in social networksAge accounting in accounting or target social networks etc..Target society is determined according to object construction characteristicWhen handing over the target characteristic of network, need the value judging object construction characteristic whether to meet the feature preset and divideBoundary's condition, default feature boundary condition need according to concrete object construction characteristic and it needs to be determined thatTarget characteristic determined, such as, if object construction characteristic is the women accounting in target social networks,It needs to be determined that target characteristic be that in target social networks, women accounting is the most, then preset feature demarcation stripPart is women accounting more than predetermined threshold value, if object construction characteristic is the sending out of user in target social networksDescribing love affairs condition, it is thus necessary to determine that target characteristic be that target social networks is more active, then preset feature demarcation stripPart is to make a speech quantity in the preset number of days that current time is nearest more than predetermined threshold value.

S202, if the value of described object construction characteristic meets default feature boundary condition, it is determined that instituteState target social networks and possess the target characteristic corresponding with described object construction characteristic.

In specific embodiment, if the value of object construction characteristic meets default feature boundary condition, the most reallyThis target social networks fixed possesses the target characteristic corresponding with this object construction characteristic, such as, if targetIn social networks, women accounting is more than predetermined threshold value, it is determined that it is the most that target social networks possesses women accountingTarget characteristic, if quantity of making a speech in the preset number of days that current time is nearest in target social networks is more than pre-If threshold value, it is determined that target social networks possesses active target characteristic.

S203, generates the target labels for identifying described target characteristic for described target social networks.

Embodiment of the present invention step S203 refer to embodiment step S102 of Fig. 1, does not repeats them here.

The embodiment of the present invention, obtains the object construction characteristic of target social networks, according to this object constructionCharacteristic, determines the target characteristic of target social networks, generates for this target social networks and is used for identifying thisThe target labels of target characteristic, this mode can be automatically generated for identifying target social networks target characteristicTarget labels, in order to user can understand the feature of this target social networks by target labels with fast and easy,Intelligent high, easy to operate.

Refer to Fig. 3, for the flow chart of another network analysis method that the embodiment of the present invention provides；The methodS300-step S306 can be comprised the following steps.

S300, obtains the supplemental characteristic of each user in target social networks in real time, and described supplemental characteristic includesUser behavior data and/or subscriber data data；

In specific embodiment, each user in target social networks is the user being successfully joined this social networks,Can communicate with one another between each user in target social networks.In order to obtain target social networksObject construction characteristic, it is necessary first to obtain the supplemental characteristic of each user, parameter in target social networksData can include at least one in user behavior data and subscriber data data, and user behavior data is permissibleIn social networks, the number of active situation is issued for user's speech situation data in social networks or userAccording to, subscriber data data are user's hand input-data, including sex, age, school, occupation etc..

S301, according to the supplemental characteristic of each user described, calculates the object construction of described target social networksCharacteristic.

In specific embodiment, according to the supplemental characteristic of each user, the corresponding of target social networks can be calculatedObject construction data, such as, according to the sex supplemental characteristic of each user, Ke Yiji in target social networksCalculating the object construction characteristic of women accounting in target social networks, specific formula for calculation is as follows:

$g\%=1-\frac{{\log }_{10}\mathrm{\Σ}W}{{\log }_{10}(\mathrm{\Σ}W+\mathrm{\Σ}M)}$

Wherein, W is female user in target social networks, and M is male user in target social networks, g%For women accounting in target social networks.

S302, is updated to institute by structural characterization data corresponding with described target social networks mark in data baseState object construction characteristic, described data base include multiple social networks mark and with described social networkThe structural characterization data that network mark is corresponding；

In specific embodiment, data base stores each social networks and identifies and right with social networks markThe structural characterization data answered, a social networks mark can corresponding multiple structural characterization data.When calculatingDuring the object construction characteristic of target social networks, will be right with this target social networks mark in data baseThe structural characterization data answered is updated to this object construction characteristic, such as, if object construction characteristic isThe women accounting of target social networks, then find the women that target social networks mark is corresponding in data baseThe structural characterization data of accounting, and it is updated to the object construction characteristic that latest computed obtains.

S303, it is judged that whether the value of described object construction characteristic meets the feature boundary condition preset；

Embodiment of the present invention step S303 refer to embodiment step S201 of Fig. 2, does not repeats them here.

S304, if the value of described object construction characteristic meets default feature boundary condition, then describedBeing that described target social networks mark adds target label position in data base, described target label position shows describedTarget social networks possesses the target characteristic corresponding with described object construction characteristic.

In specific embodiment, if the value of object construction characteristic meets default feature boundary condition, then existBeing that this target social networks mark adds corresponding target label position in data base, this target label position can be with tableThis target social networks bright possesses corresponding target characteristic, and various types of target characteristic has differentTarget label position.

S305, detects the described target social networks in described data base according to predetermined period and identifies whether to addDescribed target label position；

In specific embodiment, in order to improve efficiency, according to target social networks in predetermined period Test databaseIdentifying whether the target label position that with the addition of for representing target characteristic, predetermined period can be set by userFixed, for example, it may be one day, it is i.e. the social networks mark in timing every day pulling data storehouse and and societyHand over the marker bit that network identity is corresponding.

S306, if with the addition of described target label position, generates and described target mark for described target social networksThe target labels that note position is corresponding.

In specific embodiment, if the target social networks mark detected in data base with the addition of target label position,Then show that this target social networks possesses target characteristic, in order to clearly identify this target characteristic, for this meshMark social networks generates the target labels corresponding with this target label position, such as, if target label position shows meshMark social networks possesses the target characteristic that women accounting is relatively more, then generate the target labels of " younger sister is many ".

The embodiment of the present invention, obtains the object construction characteristic of target social networks, according to this object constructionCharacteristic, determines the target characteristic of target social networks, generates for this target social networks and is used for identifying thisThe target labels of target characteristic, this mode can be automatically generated for identifying target social networks target characteristicTarget labels, in order to user can understand the feature of this target social networks by target labels with fast and easy,Intelligent high, easy to operate.

Below in conjunction with accompanying drawing 5-accompanying drawing 7, a kind of network analyzing apparatus providing the embodiment of the present invention is carried out in detailThin introduction.

Refer to Fig. 5, for the structural representation of a kind of network analyzing apparatus that the embodiment of the present invention provides；This netNetwork analytical equipment includes:

Acquisition module 100, for obtaining the object construction characteristic of target social networks；

In specific embodiment, target social networks can be to provide the channel being in communication with each other between user, such asTarget social networks can be the group in instant messaging application, then the user being successfully joined this group is the most permissibleCommunicated with any one user in group or multiple user by this group.Target social networksObject construction characteristic is for representing the primary attribute of described target social networks, and primary attribute includes this meshThe mark time of setting up of social networks, multidate information (the speech situation of user in such as target social networks, are sent outActive situation of cloth etc.) and this target social networks in user type accounting (such as target social networkUser's sex accounting, age accounting etc. in network) in any one.

Determine module 101, for according to described object construction characteristic, determine described target social networksTarget characteristic；

In specific embodiment, determine that module 101 may determine that mesh according to acquired object construction characteristicThe target characteristic of mark social networks, concrete determination method can be that the value judging object construction characteristic isThe no satisfied feature boundary condition preset, according to the difference of object construction characteristic, default feature boundaryCondition is the most different, determined by target characteristic the most different, such as, if object construction characteristic is target societyHanding over the women accounting in network, then the feature boundary condition preset can be that the value of women accounting is more than presetting thresholdValue, final determined by the target characteristic of target social networks be that women is the most；If object construction characteristic numberAccording to setting up the time for target social networks, then the feature boundary condition preset can be to be less than the time of setting upIn 30 days, and the number of users in social networks was less than or equal to 30, final determined by the mesh of target social networksMark is characterized as that this social networks is the smaller network of scale.

Optionally, as shown in Figure 6, determine that module 101 can include judging unit 1010 and determine unit 1011；

Judging unit 1010, for judging whether the value of described object construction characteristic meets the feature presetBoundary condition；

In specific embodiment, object construction characteristic can be the time of setting up of target social networks, targetWomen in activity data, target social networks in the speech situation of user, target social networks in social networksAge accounting in accounting or target social networks etc..Target society is determined according to object construction characteristicWhen handing over the target characteristic of network, it is judged that unit 1010 needs whether the value judging object construction characteristic meetsThe feature boundary condition preset, default feature boundary condition needs according to concrete object construction characteristicAnd it needs to be determined that target characteristic determined, such as, if object construction characteristic is target social networksIn women accounting, it is thus necessary to determine that target characteristic be that in target social networks, women accounting is the most, the most in advanceIf feature boundary condition be women accounting more than predetermined threshold value, if object construction characteristic to be target socialThe speech situation of user in network, it is thus necessary to determine that target characteristic be that target social networks is more active, the most in advanceIf feature boundary condition be in the preset number of days that current time is nearest, to make a speech quantity more than predetermined threshold value.

Determine unit 1011, if the value for described object construction characteristic meets default feature demarcation stripPart, it is determined that described target social networks possesses the target characteristic corresponding with described object construction characteristic.

In specific embodiment, if the value of object construction characteristic meets default feature boundary condition, determineUnit 1011 then determines that this target social networks possesses the target characteristic corresponding with this object construction characteristic,Such as, if women accounting is more than predetermined threshold value in target social networks, it is determined that target social networks possesses femaleProperty the relatively many target characteristic of accounting, if target social networks is sent out in the preset number of days that current time is nearestSpeech quantity is more than predetermined threshold value, it is determined that target social networks possesses active target characteristic.

Generation module 102, for generating the target for identifying described target characteristic for described target social networksLabel.

In specific embodiment, checking for the ease of user, generation module 102 generates for target social networks and usesIn the target labels identifying this target characteristic.Target labels the most simple and clear can must show target social networksTarget characteristic, therefore see that this target labels can know the feature of this target social networks immediately as user,And decide whether to add this social networks.As shown in Figure 4, in applying with target social networks for instant messagingGroup as a example by illustrate, if women accounting is bigger in group, then for this all living creatures become " younger sister is many " targetLabel；If the establishment time of group is within 30 days, and in group, number less than or equal to 30, then becomes for this all living creaturesThe target labels of " newly-built ", if having speech in nearly 7 days in group, then becomes the target of " enlivening " for this all living creaturesLabel, if in group age bracket be user's accounting after 90s more time, then for this all living creatures become " rejuvenation " meshMark label, if user's accounting is more after age bracket is 60 in group, then becomes " aging " for this all living creaturesTarget labels, if activity is in the registration stage in group, then becomes the target labels of " movable " for this all living creatures.

Other are social to log in the login in the range of the first mobile terminal to search predeterminable range of this target social networksSecond mobile terminal of network, and push this target social networks mark and target mark to the second mobile terminalSigning, user sees that this target labels can know some features of this target social networks, and fast quick decision immediatelyDetermine whether add this target social networks.

The embodiment of the present invention, obtains the object construction characteristic of target social networks, according to this object constructionCharacteristic, determines the target characteristic of target social networks, generates for this target social networks and is used for identifying thisThe target labels of target characteristic, this mode can be automatically generated for identifying target social networks target characteristicTarget labels, in order to user can understand the feature of this target social networks by target labels with fast and easy,Intelligent high, easy to operate.

Refer to Fig. 7, for the structural representation of the another kind of network analyzing apparatus that the embodiment of the present invention provides；ShouldNetwork analyzing apparatus includes:

Acquisition module 200, for obtaining the object construction characteristic of target social networks；

Optionally, acquisition module 200 can include acquiring unit 2000 and computing unit 2001；

Acquiring unit 2000, obtains the supplemental characteristic of each user in target social networks in real time, describedSupplemental characteristic includes user behavior data and/or subscriber data data；

In specific embodiment, each user in target social networks is the user being successfully joined this social networks,Can communicate with one another between each user in target social networks.In order to obtain target social networksObject construction characteristic, acquiring unit 2000 is firstly the need of obtaining the ginseng of each user in target social networksNumber data, supplemental characteristic can include at least one in user behavior data and subscriber data data, userBehavioral data can be user's speech situation data in social networks or user issues in social networksThe data of active situation, subscriber data data are user's hand input-data, including sex, the age, school,Occupation etc..

Computing unit 2001, for the supplemental characteristic according to each user described, calculates described target social networkThe object construction characteristic of network.

In specific embodiment, computing unit 2001, according to the supplemental characteristic of each user, can calculate target societyHand over the respective objects structured data of network, such as, according to the sex parameter of each user in target social networksData, can calculate the object construction characteristic of women accounting in target social networks, specifically calculate public affairsFormula is as follows:

$g\%=1-\frac{{\log }_{10}\mathrm{\Σ}W}{{\log }_{10}(\mathrm{\Σ}W+\mathrm{\Σ}M)}$

Wherein, W is female user in target social networks, and M is male user in target social networks, g%For women accounting in target social networks.

More new module 201, for by architectural feature number corresponding with described target social networks mark in data baseAccording to being updated to described object construction characteristic, described data base include multiple social networks mark and withThe structural characterization data that described social networks mark is corresponding；

In specific embodiment, data base stores each social networks and identifies and right with social networks markThe structural characterization data answered, a social networks mark can corresponding multiple structural characterization data.When calculatingDuring the object construction characteristic of target social networks, more new module 201 will in data base with this target societyThe structural characterization data handing over network identity corresponding is updated to this object construction characteristic, such as, if target is tiedStructure characteristic is the women accounting of target social networks, then find target social networks mark in data baseKnow the structural characterization data of corresponding women accounting, and be updated to the object construction spy that latest computed obtainsLevy data.

Determine module 202, for according to described object construction characteristic, determine described target social networksTarget characteristic；

Optionally, determine that module 202 includes judging unit 2020 and determines unit 2021；

Judging unit 2020, for judging whether the value of described object construction characteristic meets the feature presetBoundary condition；

Determine that if unit 2021 meets default feature specifically for the value of described object construction characteristic describedBoundary condition, is that described target social networks mark adds target label position the most in the database, describedIt is special that target label position shows that described target social networks possesses the target corresponding with described object construction characteristicLevy.

In specific embodiment, if the value of object construction characteristic meets default feature boundary condition, determineUnit 2021 is then that this target social networks mark adds corresponding target label position, this target in data baseMarker bit may indicate that this target social networks possesses corresponding target characteristic, and various types of target is specialLevy and there is different target label positions.

Generation module 203, for generating the target for identifying described target characteristic for described target social networksLabel.

Optionally, generation module 203 includes detector unit 2030 and signal generating unit 2031；

Detector unit 2030, for detecting the described target social networks in described data base according to predetermined periodIdentify whether to the addition of described target label position；

In specific embodiment, in order to improve efficiency, detector unit 2030 is according in predetermined period Test databaseTarget social networks identifies whether the target label position that with the addition of for representing target characteristic, and predetermined period is permissibleIt is set by user, for example, it may be one day, it is i.e. the social networks in timing every day pulling data storehouseMark and the marker bit corresponding with social networks mark.

Signal generating unit 2031, if for the addition of described target label position, generates for described target social networksThe target labels corresponding with described target label position.

In specific embodiment, if the target social networks mark detected in data base with the addition of target label position,Then show that this target social networks possesses target characteristic, in order to clearly identify this target characteristic, generate singleUnit 2031 is the target labels that the generation of this target social networks is corresponding with this target label position, such as, if targetMarker bit shows that target social networks possesses the target characteristic that women accounting is relatively more, then generate " younger sister is many "Target labels.

The embodiment of the present invention, obtains the object construction characteristic of target social networks, according to this object constructionCharacteristic, determines the target characteristic of target social networks, generates for this target social networks and is used for identifying thisThe target labels of target characteristic, this mode can be automatically generated for identifying target social networks target characteristicTarget labels, in order to user can understand the feature of this target social networks by target labels with fast and easy,Intelligent high, easy to operate.

One of ordinary skill in the art will appreciate that all or part of flow process realizing in above-described embodiment method,Can be by computer program and complete to instruct relevant hardware, described program can be stored in a calculatingIn machine read/write memory medium, the module of network analyzing apparatus shown in accompanying drawing 5-accompanying drawing 7 or journey corresponding to unitSequence is storable in the readable storage medium storing program for executing of network analyzing apparatus, and by least in this network analyzing apparatusIndividual processor performs, and to realize above-mentioned network analysis method, the method includes that in Fig. 1 to Fig. 4, each method is realExecute the flow process described in example.Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body(Read-Only Memory, ROM) or random store-memory body (Random Access Memory, RAM)Deng.

Above disclosed be only present pre-ferred embodiments, certainly can not with this limit the present invention itInterest field, the equivalent variations therefore made according to the claims in the present invention, still belong to the scope that the present invention is contained.

Claims (12)

1. a network analysis method, it is characterised in that including:

Obtain the object construction characteristic of target social networks；

According to described object construction characteristic, determine the target characteristic of described target social networks；

The target labels for identifying described target characteristic is generated for described target social networks.

2. the method for claim 1, it is characterised in that described object construction characteristic is used for tableShowing the primary attribute of described target social networks, described primary attribute includes the foundation of described target social networksAny one in user type accounting in time, multidate information and described target social networks.

3. the method for claim 1, it is characterised in that described according to described object construction characteristic numberAccording to, determine the target characteristic of described target social networks, including:

Judge whether the value of described object construction characteristic meets the feature boundary condition preset；

If the value of described object construction characteristic meets default feature boundary condition, it is determined that described targetSocial networks possesses the target characteristic corresponding with described object construction characteristic.

4. method as claimed in claim 3, it is characterised in that the target of described acquisition target social networksStructural characterization data, including:

Obtaining the supplemental characteristic of each user in target social networks in real time, described supplemental characteristic includes user's rowFor data and/or subscriber data data；

According to the supplemental characteristic of each user described, calculate the object construction characteristic number of described target social networksAccording to.

5. method as claimed in claim 4, it is characterised in that described calculating described target social networksAfter object construction characteristic, also include:

Structural characterization data corresponding with described target social networks mark in data base is updated to described targetStructural characterization data, described data base includes multiple social networks mark and identifies with described social networksCorresponding structural characterization data；

If the value of described object construction characteristic meets default feature boundary condition, it is determined that describedTarget social networks possesses the target characteristic corresponding with described object construction characteristic, including:

If the value of described object construction characteristic meets default feature boundary condition, then described data baseIn be described target social networks mark add target label position, described target label position shows described target societyNetwork is handed over to possess the target characteristic corresponding with described object construction characteristic.

6. method as claimed in claim 5, it is characterised in that described for the generation of described target social networksFor identifying the target labels of described target characteristic, including:

The described target social networks detected in described data base according to predetermined period identifies whether to the addition of describedTarget label position；

If with the addition of described target label position, it is right with described target label position to generate for described target social networksThe target labels answered.

7. a network analyzing apparatus, it is characterised in that including:

Acquisition module, for obtaining the object construction characteristic of target social networks；

Determine module, for according to described object construction characteristic, determine the mesh of described target social networksMark feature；

Generation module, for generating the target mark for identifying described target characteristic for described target social networksSign.

8. device as claimed in claim 7, it is characterised in that described object construction characteristic is used for tableShowing the primary attribute of described target social networks, described primary attribute includes the foundation of described target social networksAny one in user type accounting in time, multidate information and described target social networks.

9. device as claimed in claim 7, it is characterised in that described determine that module includes:

Judging unit, for judging whether the value of described object construction characteristic meets the feature boundary presetCondition；

Determine unit, if the value for described object construction characteristic meets default feature boundary condition,Then determine that described target social networks possesses the target characteristic corresponding with described object construction characteristic.

10. device as claimed in claim 9, it is characterised in that described acquisition module includes:

Acquiring unit, obtains the supplemental characteristic of each user, described parameter in target social networks in real timeData include user behavior data and/or subscriber data data；

Computing unit, for the supplemental characteristic according to each user described, calculates described target social networksObject construction characteristic.

11. devices as claimed in claim 10, it is characterised in that described device also includes:

More new module, for by structural characterization data corresponding with described target social networks mark in data baseBe updated to described object construction characteristic, described data base include multiple social networks mark and with instituteState the structural characterization data that social networks mark is corresponding；

Determine that if unit meets default feature boundary specifically for the value of described object construction characteristic describedCondition, is that described target social networks mark adds target label position, described target the most in the databaseMarker bit shows that described target social networks possesses the target characteristic corresponding with described object construction characteristic.

12. devices as claimed in claim 11, it is characterised in that described generation module includes:

Detector unit, for detecting the described target social networks mark in described data base according to predetermined periodWhether with the addition of described target label position；

Signal generating unit, if for the addition of described target label position, generates and institute for described target social networksState the target labels that target label position is corresponding.