Spatiotemporal characteristics and influencing factors of China’s knowledge spillover network of the marine industry by Kai Liu, Kai Liu, Yi Zhang, Fei Peng, Fei Peng, Tong Xie, Qiang Du, Jia-yin Tan

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ROBO-SPOT: Detecting Robocalls by Understanding User Engagement and Connectivity Graph by Muhammad Ajmal Azad, Junaid Arshad, Farhan Riaz

Subjects: “…social network analysis…”
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UKRAINIAN ELITES DISCOURSE IN RESPECT OF THE DONBASS TERRITORY AND POPULATION OF 2009-2018: ANALYSIS OF THE NATIONAL FACEBOOK SEGMENT by A. A. Tokarev

Subjects: “…social networks analysis (sna)…”
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Rural land-use change key stakeholders network analysis in Shahriyar county, Iran by sara sadeghizadeh ghavi fekr, asghar tahmasebi, farhad azizpour

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Erasmus Personel Öğretim Hareketliliği by Hamid Derviş

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Spatially Correlated Network Structure and Influencing Factors of Carbon Emission Efficiency in the Power Industry: Evidence from China by Baojun Sun, Taiwen Feng, Mingjing Du, Yuqing Liang, Tianbao Feng

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Traditional Chinese medicine trade among RCEP countries: structural characteristics and determinants by Yue Fang, Yue Fang, Meng Xue Tang, Xu Liu

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Multidimensional Scientometric Analysis for the Gig Economy by Sergen Gürsoy

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Research on the scalability of parallel community detection algorithms by Qiang LIU, Yan JIA, Binxing FANG, Bin ZHOU, Yue HU, Jiuming HUANG

“…The social network often contains a large amount of information about users and groups,such as topic evolution mode,group aggregation effect,the law of information dissemination and so on.The mining of these information has become an important task for social network analysis.As one characteristic of the social network,the group aggregation effect is characterized by the community structure of the social network.The discovery of community structure has become the basis and key point of other social network analysis tasks.With the rapid growth of the number of online social network users,the traditional community detection methods have been difficult to be used,which contributes to the development of parallel community detection technology.The current mainstream parallel community detection methods,including Louvain algorithm and label propagation algorithm,were tested in the large-scale data sets,and corresponding advantages and disadvantages were pointed out so as to provide useful information for later applications.…”
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A Metaphorical Approach to Developing Behavior Within the Context of the Covid-19 Pandemic by Ceren Yegen, Arthur Berger

“…The resultsof the social network analysis show that the course of the pandemic did not arouse public reaction (inthe scope of the analysis period). …”
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Analysis of Academic Social Networks in Indonesia by Ria Andryani, Edi Surya Negara, Rezki Syaputra, Deni Erlansyah

“…Social network analysis to detect communities in social networks is a complex problem, this is due to differences in community definitions and the complexity of social networks. …”
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Terrorist Group Behavior Prediction by Wavelet Transform-Based Pattern Recognition by Ze Li, Duoyong Sun, Bo Li, Zhanfeng Li, Aobo Li

“…Our ideas rely on social network analysis to model the terrorist group and extract relevant features for group behaviors. …”
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Research on Enterprise Competitive Information Management Based on Co-Occurrence Analysis by Peng Wu, Ran Feng

“…Non-Jaccard data and Jaccard data are compared with examples of Chinese representative banks based on new methods of URL co-occurrence analysis, and competitive information research of enterprises is conducted in the multidimensional scaling method and social network analysis method; and comprehensive exploration and analysis are conducted from multiperspectives such as gradient grading analysis, recognition of main competitors, and competitive landscape analysis of fine grit. …”
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Sociometric network analysis in illicit drugs research: A scoping review. by Naomi Zakimi, Alissa Greer, Martin Bouchard, Arshpreet Dhillon, Alison Ritter

“…<h4>Conclusion</h4>Future illicit drugs research using whole network SNA should include more diverse data sources and samples, incorporate mixed and qualitative methods, and apply social network analysis to study drug policy.…”
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Mapping Linkages between Actors in Cattle Marketing Innovation System of Northeastern Nigeria by Altine Madugu

“…Furthermore, the result of the social network analysis revealed a network density of 0.83, indicating that 83% of all direct linkages were present. …”
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Thema and world needs: exploring bibliodiversity through open access book subjects by Ronald Snijder

“…The study deploys social network analysis to investigate affiliations between countries and book classifications, identifying clusters of shared interests. …”
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Bibliometric analysis of research trends and networks in carbon tax studies: Insights into environmental and economic policy implications by Andi Kusumawati, Suhanda Suhanda, Darmawati, Andi Iqra Pradipta Natsir, Indira Syakira Kirana Juanda

“…This study analyzes research trends in carbon tax studies using bibliometric techniques and social network analysis to explore their environmental and economic impacts and policy implications. …”
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Analysis and Semantic Mining in Heterogeneous Information Network by Rui Wang, Zhiqiang Zhang, Chuan Shi

“…Heterogeneous information network（HIN），which is composed of different types of objects and links，has gradually become a hot topic in social network analysis.As a unique characteristic of HIN，meta path contains rich semantic information.Heterogeneous information network with values on links are ubiquitous in real world.Therefore，the traditional meta path，which doesn’t consider weight on links，can not exactly capture semantics in many cases.Related concepts of HIN were introduced and a brief introduction of applications of HIN was given.Then subtle semantic information in HIN was explored by extending the traditional meta path to weighted meta path.Experiments on two real data sets demonstrate the applications of the weighted meta path in recommendation，relevance search.…”
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Les actes diplomatiques, instrument d’analyse des réseaux épiscopaux dans le monde franc (viie-milieu xie siècle) by Laurent Jégou, Stéphane Lamassé

“…The aim is to question the difficulties posed by the documentation, but also the potentialities of such an approach to understand the logics that guided the actions of the bishops.This work uses social network analysis to explore a known documentation in a new way. …”
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Innovation Efficiency and the Spatial Correlation Network Characteristics of Intelligent-Manufacturing Enterprises by Ningning Fu

“…This research used the modified gravity model to determine the innovation efficiency and the spatial correlation of IM enterprises in China and used UCINET software to reveal the innovation efficiency and spatial network characteristics of IM enterprises through a social network analysis. The study found that the relationship was significant and frequently close between innovation efficiency and the spatial correlation network of IM enterprises. …”
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