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Emotion recognition is an important part of building an intelligent human-computer interaction system and plays an important role in human-computer interaction. Often, people express their feelings through a variety of symbols, such as words and facial expressions. A business ecosystem is an economic community based on interacting organizations and individuals. Over time, they develop their capabilities and roles together and tend to develop themselves in the direction of one or more central enterprises. This paper aims to study a multimodal ER (...) method based on attention mechanism. It analyzes the current emotional state of consumers and the development direction of enterprises through multi-modal ER of human emotions and analysis of market trends, so as to provide the most appropriate response or plan. This paper firstly describes the related methods of multimodal ER and deep learning in detail, and briefly outlines the meaning of enterprise strategy in the business ecosystem. Then, two datasets, CMU-MOSI and CMU-MOSEI, are selected to design the scheme for multimodal ER based on self-attention mechanism. Through the comparative analysis of the accuracy of single-modal and multi-modal ER, the self-attention mechanism is applied in the experiment. The experimental results show that the average recognition accuracy of happy under multimodal ER reaches 91.5%. (shrink)

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Despite the growing importance of stakeholder management, few studies have empirically examined the influence of stakeholder relationship capability on firm innovation, especially in emerging economies. This study investigates how SRC relates to firm innovation in the presence of governmental intervention and in combination with firm-level characteristics. Using a survey and multiple secondary datasets on the listed Chinese firms, our findings indicate that SRC is positively associated with firm innovation. Moreover, advanced legal development and high-tech status strengthen the positive link between (...) SRC and innovation, whereas state ownership and firm age weaken this relationship. These findings provide novel insights into how firms use stakeholder management to enhance innovation that is beneficial for economic growth. (shrink)

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As the essence of livestream e-commerce is social commerce, building a livestream brand community and attracting brand followers are the key aspects to achieving sustained revenue. For many companies, inviting celebrities has become a shortcut to attract new followers. Considering the unsustainability and high cost of the celebrity host mode, some companies switched to using their own branded broadcasters to attract followers. However, as branded broadcasters lack a fan base, choosing the suitable broadcaster type has become a challenge in livestream (...) e-commerce. The motivation of consumers to follow brand livestream accounts is mainly to obtain potential value by embedding them in social networks. Therefore, based on motive theory, this research explores how different broadcaster types affect consumer’s intention to follow a livestream brand community. Results from the analysis of secondary data from livestream platforms and two laboratory experiments reveal that celebrities contribute more to consumer’s intention to follow than branded broadcasters, and utilitarian products can strengthen the effect of branded broadcasters on attracting potential followers. Moreover, branded broadcasters can promote consumer’s intention to follow a livestream brand community by satisfying consumer’s need for informational value during utilitarian product evaluation. This research analyzes the differential effects of different types of broadcasters on livestream brand community building. The findings can deepen the understanding of the consumer’s behavior of following brand livestream communities and provide companies with suggestions on broadcaster selection in livestream e-commerce. (shrink)

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Distinctive aspects of a culture are often reflected in the meaning and usage of words in the language spoken by bearers of that culture. Keywords such as душа (soul) in Russian, hati (heart) in Indonesian and Malay, and gezellig (convivial/cosy/fun) in Dutch are held to be especially culturally revealing, and scholars have identified a number of such keywords using careful linguistic analyses (Peeters, 2020b; Wierzbicka, 1990). Because keywords are expected to have different statistical properties than related words in other languages, (...) we argue that a quantitative comparison of word usage across languages can help to identify cultural keywords. To support this claim, we describe a computational method that compares word frequencies across languages, and apply it to both linguistic corpora and word association data. The method identifies culturally specific words that range from “obvious” examples, such as Amsterdam in Dutch, to non‐obvious yet independently proposed examples, such as hati (heart) in Indonesian. We show in addition that linguistic corpora and word association data provide converging evidence about culturally specific words. Our results therefore show how computational analyses and behavioral experiments can supplement the methods previously used by linguists to identify culturally salient words across languages. (shrink)

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Building on the co-evolutionary perspective, this study investigates the reciprocal and co-evolving relationship between political ties and green innovation in the presence of institutional and environmental changes. Using panel data for Chinese listed private firms for a sample period that runs from 2013 through 2016, our findings indicate that political ties have an overall positive impact on green innovation. Moreover, political ties and green innovation mutually reinforce each other in less developed regions or heavily polluted areas; however, green innovation discourages (...) the formation of political ties in regions with high levels of institutional development or less environmental pollution. These findings provide novel insights into the co-evolution of and co-alignment between political strategy, green innovation, institutions, and environments in emerging economies. (shrink)

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Given that services differ from goods in terms of intangibility, heterogeneity, and inseparability, customers may evaluate green services differently from how they evaluate green goods. Previous research has investigated customers’ perceptions and purchase decisions regarding green products. However, limited attention has been paid to the impact of green practices on customer evaluations of the service experience as well as important contingencies that bear on this relationship. Drawing on stakeholder theory, our study examines the impact of green practices on customer evaluations (...) and further considers the influences of environmental- and firm-level contingencies. We test our model with a multi-source dataset in the Chinese hotel industry. The findings indicate that green practices improve customer evaluations of the service experience. This positive impact is, however, weaker in external environments characterized by high internet penetration and market complexity but is stronger for hotels with innovative services and for business hotels. Our findings provide novel insights into the environmental ethics and stakeholder management literatures by revealing the role of green practices in promoting positive service evaluations as well as the contingent influences of external environments and internal firm-level characteristics. (shrink)

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Prosocial behaviors are susceptible to individuals’ preferences regarding payoffs and social context. In the present study, we combined individual differences with social influence and attempted to discover the effect of social value orientation (SVO) and social influence on prosocial behavior in a trust game and a dictator game. Prosocial behavior in the trust game could be motivated by strategic considerations whereas individuals’ decisions in the dictator game could be associated with their social preference. In the trust game, prosocials were less (...) likely than proselfs to conform to the behavior of other group members when the majority of group members distrusted the trustee. In the dictator game, the results of the three-way ANOVA indicated that, irrespective of the type of offer, in contrast to proselfs, prosocials were influenced more by others’ generous choices than their selfish choices, even if the selfish choices were beneficial to themselves. The overall results demonstrated that the effect of social influence appears to depend on individuals’ SVO: that is, prosocials tend to conform to prosocial rather than proself behaviors. (shrink)

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The COVID-19 pandemic has pressed a pause button on global economic development, and induced significant mental health problems. In order to demonstrate the progressed relationship between the pandemic, economic slowdown, and mental health burden, we overviewed the global-level gross domestic product changes and mental problems variation since the outbreak of COVID-19, and reviewed comprehensively the specific sectors influenced by the pandemic, including international trade, worldwide travel, education system, healthcare system, and individual employment. We hope to provide timely evidence to help (...) with the promotion of policymakers’ effective strategies in mitigating economic losses induced by the pandemic; we suggest different governments or policy makers in different countries to share information and experience in dealing with COVID-19-induced economic slowdown and promote COVID-19 vaccine popularization plan to protect every individual worldwide against the coronavirus essentially; and we appeal international information share and collaboration to minimize stigmatization related to adverse mental consequences of COVID-19 and to increase mental health wellbeings of people all over the world. (shrink)

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BackgroundRecent advancements in neuroscientific techniques have allowed us to make huge progress in our understanding of memories, and in turn has paved the way for new memory modification technologies that can modulate memories with a degree of precision, which was not previously possible. With advancements in such techniques, new and critical ethical questions have emerged. Understanding and framing these ethical questions within the current philosophical theories is crucial in order to systematically examine them as we translate these techniques to the (...) clinic.Main bodyIn this paper, we discuss the ethical implications of modern neuroscience techniques that aim to disrupt or enhance memories. We attempt to frame the MMTs in the context of existing ethical philosophical theories to provide a cohesive analysis of the myriad of ethical quagmires that might emerge from such technologies. We argue the application of Aristotle’s Golden Mean and multiple accounts of authenticity are useful in approaching the ethical questions surrounding MMTs. We then propose a framework in which ethical considerations can be systematically examined. Lastly, we provide caveats and considerations for the use of this framework. Overall, we provide a practical approach for the ethical use of MMTs depending on the situation.ConclusionWhile at face value, our model appears to put severe limitations on the application of MMTs, we are not completely opposed to their use, but rather our framework guides the agent to consider the implications before making any decisions. Most importantly, we argue that the use of MMTs does not reduce the responsibility of the initial decision, and the agent must accept the post-MMT self as the new “true self” regardless of the outcome. As the developmental trajectory of MMTs suggests we are getting closer to practical clinical applications, ethical concerns across a wide range of disciplines need to be addressed to develop best strategies and policies when dealing with MMTs. If this can be achieved, we believe the ethical use of MMTs is not only possible but would also be of tremendous benefit to many people suffering from memory-related mental disorders. (shrink)

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Drawing on institutional and signaling theories, this study examines how environmental corporate social responsibility affects firm performance in a dysfunctional institutional environment. We extend the ECSR literature by suggesting that ECSR indirectly influences firm performance through the mediating effects of business and political legitimacy. Based on a dataset of 238 firms in China, we find that ECSR affects business and political legitimacy followed by firm performance. Moreover, legal incompleteness weakens and legal inefficiency strengthens the effects of ECSR on business and (...) political legitimacy. (shrink)

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Punning is an important means of creating humorous effects by intentionally exploiting semantic ambiguity. Previous psycholinguistic research on puns has mainly focused on the process of meaning retrieval in homograph puns, while it is still not entirely clear how readers dynamically utilize contextual information to understand homophone puns. In the current investigation, 68 native Chinese participants were recruited to read three types of experimental sentences while their eye movements were recorded: the homophone-pun sentences where the less salient homophone was visually (...) presented, the homophone-salient sentences where the salient homophone was used, and the homophone-error sentences where the critical context noun in the homophone puns was replaced with an unrelated word. Humor rating results of the homophone puns and the homophone-salient sentences demonstrated that the less salient homophones rather than the salient ones elicited much larger humor responses when presented visually in the same potential pun context. In addition, the reverse fixation pattern in the homophone area and the spill-over region also suggested that meanings of the salient homophones were more recoverable even when not presented visually. Statistical analyses of the homophone puns and the homophone-error sentences showed that the semantic relatedness between the critical context noun and the less salient homophone could significantly predict the humor rating scores of Chinese readers. Taken together, less salient homophones need to receive more contextual support to balance out the advantages of salient homophones before generating a humorous pun interpretation. (shrink)

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In 2015, the Chinese pharmacologist, Tu Youyou, was awarded the Nobel Prize for Physiology or Medicine for the discovery of artemisinin. Traditional Chinese medicine (TCM) was the source of inspiration for Tu's discovery and provides an opportunity for the world to know more about TCM as a source of medical knowledge and practice. In this article, the value of TCM is evaluated from an ethical perspective. The characteristics of ‘jian, bian, yan, lian’ are explored in the way they promote accessibility (...) and economic efficiency for TCM. The article also examines how the increased use and prevalence of TCM reflects the scientific, cultural, and ethical values of TCM and their increasing attraction in meeting major challenges to medicine and health systems currently and in the future. The article discusses safety issues within TCM, which is a controversial area, and also comments on some shortcomings and challenges which pose difficulties for more widespread and greater uptake of TCM‐derived clinical or therapeutic interventions. The article concludes that TCM is generally safe if it is used according to TCM theory and where such applications are cognizant of the strengths and weaknesses of TCM. TCM has important bioethical values which may inform potential measures for meeting challenges facing global health care systems and the article argues that it can have an increasing role in improving human health. (shrink)

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Accurate identification of legal provisions is crucial for adjudicating criminal cases, but the complexity and volume of legal texts pose significant challenges for legal professionals. This paper addresses these challenges by introducing a novel legal provision selection framework that transforms the task from a simple classification problem into a sophisticated system combining semantic matching with causal relationship learning. Leveraging large language models, our approach enhances the understanding and interpretation of legal language, by extracting nuanced features from legal texts for deeper (...) contextual comprehension. Additionally, integrating causal learning aligns with the inherent causality in legal reasoning, improving model interpretability and mitigating data bias. Our method demonstrates superior accuracy and robustness through extensive experiments on the CAIL2018 dataset and its subsets. This research significantly advances legal AI applications, promoting efficiency and fairness in the criminal justice system by providing precise and reliable legal provision selection. (shrink)

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BackgroundCompassion fatigue is often associated with moral distress in the nursing practice among registered nurses. Moral resilience is an important ability to maintain, restore, or promote their physical and mental health in response to ethical dilemmas in nursing. Moral resilience can be utilized as a potential solution to aid registered nurses in effectively managing compassion fatigue.AimTo identify latent profiles of moral resilience among registered nurses and to explore the relationships of these profiles with compassion fatigue.Research designFrom August 2022 to December (...) 2022, 569 nurses were recruited in two general hospitals, in China. A Rushton Moral Resilience Scale and the Chinese version of Compassion Fatigue—Short Scale were given to the participants. A latent profile analysis was conducted to explore moral resilience latent profiles. Predictors of profiles membership was evaluated using multinomial logistic regression analysis, and the compassion fatigue scores of each latent profile were compared using a one-way analysis of variance.Ethical considerationsWe obtained ethical approval from the Institution Review Board of Xiangya School of Nursing, Central South University (IRB No. E202293, approved 15/July/2022).ResultsA four-profile moral resilience model best fit the data. Different levels and shapes differentiated the four profiles: high moral resilience (28.7%), moderate moral resilience (52.3%), low responses and high efficacy (16.2%), and low moral resilience (2.8%). Nurses with bachelor’s degrees were more likely to belong to the high moral resilience ( OR = 0.118, p =.038) and moderate moral resilience ( OR = 0.248, p =.045); Nurses who were divorced or separated ( OR = 11.746, p =.025) and very dissatisfied with their work ( OR = 0.001, p =.049) were more probably belonging to low moral resilience. Nurses who had received ethical training in the hospital were more likely involved in high moral resilience ( OR = 5.129, p =.003) and low responses and high efficacy ( OR = 5.129, p =.003). In each profile of moral resilience, compassion fatigue was experienced differently by the participants ( F = 13.05, p<.001).ConclusionsDeveloping and implementing interventions tailored to each nurse’s moral resilience profile would maximize interventions’ effectiveness and reduce nurses’ compassion fatigue. (shrink)

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Cyberbullying is a serious global problem that affects many teenagers and university students. Recent studies have explored the relationship between personality traits and cyberbullying, but the mechanism needs further research. This paper examines the impact of personality traits on cyberbullying perpetration of Chinese university students and the moderating role of Internet self-efficacy and gender. By random cluster sampling, 549 university students participated in filling out the self-report questionnaires. The results revealed: conscientiousness, agreeableness, and openness were significantly negatively correlated with cyberbullying (...) perpetration. The stratified regression showed that ISE moderated the relation between agreeableness and cyberbullying. Gender moderated the relationship between agreeableness and cyberbullying, and openness and cyberbullying. (shrink)

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Product innovation integrates technology, knowledge, management practices, and market innovation, making it essential to gain a competitive advantage. Effective management of dynamic knowledge, which is the foundation of and driving force for product innovation, is a powerful tool that allows a firm to successfully innovate, adapt to environmental changes, and improve its competitiveness. In the “nanosecond age,” unlearning and learning in an organization is crucial to a firm’s ability to promptly update its organizational knowledge and maintain innovation vitality. Based on (...) the dynamic knowledge management perspective, this study integrates and constructs a theoretical model with environmental dynamism as the moderating variable, discusses the impact of organizational unlearning on product innovation performance, and empirically analyzes 208 valid questionnaires in the Yangtze River Delta using the multiple regression method. The results show that organizational unlearning shares a positive relationship with dynamic capabilities and product innovation performance. Dynamic capability is positively related to product innovation performance and has a partial mediating effect on the relationship between organizational unlearning and product innovation performance. Environmental dynamism shares a positive moderating effect on the relationship between organizational unlearning and product innovation performance. This study deepens the existing research on the factors that influence product innovation performance, which may help firms improve their dynamic knowledge management and product innovation performance. (shrink)

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Several functional magnetic resonance imaging studies have demonstrated abnormalities in static intra- and interhemispheric functional connectivity among diverse brain regions in patients with major depressive disorder. However, the dynamic changes in intra- and interhemispheric functional connectivity patterns in patients with MDD remain unclear. Fifty-eight first-episode, drug-naive patients with MDD and 48 age-, sex-, and education level-matched healthy controls underwent resting-state fMRI. Whole-brain functional connectivity, analyzed using the functional connectivity density approach, was decomposed into ipsilateral and contralateral functional connectivity. We computed (...) the intra- and interhemispheric dynamic FCD using a sliding window analysis to capture the dynamic patterns of functional connectivity. The temporal variability in functional connectivity was quantified as the variance of the dFCD over time. In addition, intra- and interhemispheric static FCD patterns were calculated. Associations between the dFCD variance and sFCD in abnormal brain regions and the severity of depressive symptoms were analyzed. Compared to HCs, patients with MDD showed lower interhemispheric dFCD variability in the inferior/middle frontal gyrus and decreased sFCD in the medial prefrontal cortex/anterior cingulate cortex and posterior cingulate cortex/precuneus in both intra- and interhemispheric comparisons. No significant correlations were found between any abnormal dFCD variance or sFCD at the intra- and interhemispheric levels and the severity of depressive symptoms. Our results suggest intra- and interhemispheric functional connectivity alterations in the dorsolateral prefrontal cortex and default mode network regions involved in cognition, execution and emotion. Furthermore, our study emphasizes the essential role of altered interhemispheric communication dynamics in the DLPFC in patients with MDD. These findings contribute to our understanding of the pathophysiology of MDD. (shrink)

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Background and aimThe postpartum depression literacy of perinatal women is closely related to the occurrence, recognition, and treatment of postpartum depression, therefore valid instruments for evaluating the level of PoDLi are of great significance for both research and clinical practice. This study aimed to cross-culturally adapt the postpartum depression literacy scale into Chinese and to test its psychometric properties among Chinese perinatal women.Materials and methodsA cross-sectional study was conducted from April to May 2022 in a tertiary hospital in Hangzhou, Zhejiang (...) Province, China. 619 out of the 650 perinatal women that were approached via a convenience sampling method completed the Chinese version of the PoDLiS. Content validity [the content validity index of items and scale-level content validity index ] was evaluated by an expert panel. Psychometric properties, including item analysis, structure validity, convergent and discriminant validity, reliability, criterion validity, and floor/ceiling effect were examined.ResultsThe final version of C-PoDLiS is a six-factor structure consisting of 27 items, which explained 61.00% of the total variance. Adequate content validity was ensured by the expert panel. The modified confirmatory factor analysis model revealed that the 6-factor model fitted the data well. The total Cronbach’s α was 0.862, the total McDonald’s ω was 0.869, and the test-retest reliability coefficient was 0.856. Results of convergent validity and discriminant validity provided good or acceptable psychometric support. Significant correlations between scores of the C-PoDLiS and Mental health literacy scale and Attitudes toward seeking professional psychological help short form scale supported good concurrent and predictive validity, respectively. No floor/ceiling effect was found.ConclusionThe C-PoDLiS was demonstrated to be a sound instrument with good reliability and validity for evaluating Chinese perinatal women’s PoDLi levels. Its use in the future can facilitate data aggregation and outcome comparisons across different studies on this topic. (shrink)

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Social exclusion has a significant impact on cognition, emotion, and behavior. Some behavioral studies investigated how social exclusion affects pain empathy. Conclusions were inconsistent, and there is a lack of clarity in identifying which component of pain empathy is more likely to be affected. To investigate these issues, we used a Cyberball task to manipulate feelings of social exclusion. Two groups participated in the same pain empathy task while we recorded event-related potentials when participants viewed static images of body parts (...) in painful and neutral situations. The results showed early N2 differentiation between painful and neutral pictures in the central regions in both groups. The pattern at the late controlled processing stage was different. Parietal P3 amplitudes for painful pictures were significantly smaller than those for neutral pictures in the social exclusion group; they did not differ in the social inclusion group. We observed a parietal late positive potential differentiation between painful and neutral pictures in both groups. LPP amplitudes were significantly smaller in the social exclusion group than those in the social inclusion group for painful stimuli. Our results indicate that social exclusion does not affect empathic responses during the early emotional sharing stage. However, it down-regulates empathic responses at the late cognitive controlled stage, and this modulation is attenuated gradually. The current study provides neuroscientific evidence of how social exclusion dynamically influences pain empathy. (shrink)

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The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. Accordingly, we initiated the (...) development of the community-based Coronavirus Infectious Disease Ontology in early 2020. -/- As an Open Biomedical Ontology (OBO) library ontology, CIDO is open source and interoperable with other existing OBO ontologies. CIDO is aligned with the Basic Formal Ontology and Viral Infectious Disease Ontology. CIDO has imported terms from over 30 OBO ontologies. For example, CIDO imports all SARS-CoV-2 protein terms from the Protein Ontology, COVID-19-related phenotype terms from the Human Phenotype Ontology, and over 100 COVID-19 terms for vaccines (both authorized and in clinical trial) from the Vaccine Ontology. CIDO systematically represents variants of SARS-CoV-2 viruses and over 300 amino acid substitutions therein, along with over 300 diagnostic kits and methods. CIDO also describes hundreds of host-coronavirus protein-protein interactions (PPIs) and the drugs that target proteins in these PPIs. CIDO has been used to model COVID-19 related phenomena in areas such as epidemiology. The scope of CIDO was evaluated by visual analysis supported by a summarization network method. CIDO has been used in various applications such as term standardization, inference, natural language processing (NLP) and clinical data integration. We have applied the amino acid variant knowledge present in CIDO to analyze differences between SARS-CoV-2 Delta and Omicron variants. CIDO's integrative host-coronavirus PPIs and drug-target knowledge has also been used to support drug repurposing for COVID-19 treatment. -/- CIDO represents entities and relations in the domain of coronavirus diseases with a special focus on COVID-19. It supports shared knowledge representation, data and metadata standardization and integration, and has been used in a range of applications. (shrink)

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Objective: Pulmonary complications could badly affect the recovery of neurological function and neurological prognosis of neurological critically ill patients. This study evaluated the effect of high-flow nasal cannula therapy on decreasing pulmonary complications in neurologically critically ill patients.Patients and Methods: The patients admitted to the intensive care unit with serious neurological disease and receiving oxygen therapy were retrospectively reviewed. Patients were divided into the HFNC group and the conventional oxygen therapy group. We analyzed the data within these two groups, including (...) patients’ baseline data, short-term outcomes of respiratory complications, general outcomes including hospital stay, ICU stay and mortality, and neurological functions. To analyze the relevant factors, we performed multivariable logistic regression analysis.Results: A total of 283 patients met the criteria, including 164 cases in the HFNC group and 119 cases in the COT group. The HFNC group had remarkably less mechanical ventilation requirement with lower phlegm viscosity. Even more, ICU stay and total hospital stay were significantly shortened in the HNFC group.Conclusion: HFNC decreased pulmonary complications in neurologically critically ill patients and improved recovery of neurological function and neurological prognosis. (shrink)

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Post-stroke depression is a serious complication of stroke that significantly restricts rehabilitation. The use of immersive virtual reality for stroke survivors is promising. Herein, we investigated the effects of a novel immersive virtual reality training system on PSD and explored induced effective connectivity alterations in emotional networks using multivariate Granger causality analysis. Forty-four patients with PSD were equally allocated into an immersive-virtual reality group and a control group. In addition to their usual rehabilitation treatments, the participants in the immersive-virtual reality (...) group participated in an immersive-virtual reality rehabilitation program, while the patients in the control group received 2D virtual reality rehabilitation training. The Hamilton Depression Rating Scale, modified Barthel Index, and resting-state functional magnetic resonance imaging data were collected before and after a 4-week intervention. rsfMRI data were analyzed using multivariate GCA. We found that the immersive virtual reality training was more effective in improving depression in patients with PSD but had no statistically significant improvement in MBI scores compared to the control group. The GCA showed that the following causal connectivities were strengthened after immersive virtual reality training: from the amygdala, insula, middle temporal gyrus, and caudate nucleus to the dorsolateral prefrontal cortex; from the insula to the medial prefrontal cortex; and from the thalamus to the posterior superior temporal sulcus. These causal connectivities were weakened after treatment in the control group. Our results indicated the neurotherapeutic use of immersive virtual reality rehabilitation as an effective non-pharmacological intervention for PSD; the alteration of causal connectivity in emotional networks might constitute the neural mechanisms underlying immersive-virtual reality rehabilitation in PSD. (shrink)

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The approach of the complex network has well described seismic complex systems. In this paper, this is the first time three classical network construction methods for seismicity are compared. By using the same dataset from the Southern California Seismic Network, three networks are constructed. They all present the scale-free, small-world properties, a strength-degree correlation, and an assortative mixing feature. However, they show some differences in the hierarchical clustering feature. On observing the evolution results, three measures show a similar correlation with (...) seismicity dynamics, but one measure shows a different result. These results show that different network construction methods will present some similarities and differences in network properties. This situation needs to be considered, especially when discussing a predictive indicator of seismicity. (shrink)

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