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441
Multiscale network alignment model based on convolution of homogeneous multilayer graphs
Published 2024-12-01“…Social network alignment as an important research method in network science has been widely used in several fields. …”
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442
The usefulness of social media analysis within scholarly publications: a study of first-tier tourism journals
Published 2017-01-01“…The introduction of social network techniques in scholarly research analysis has driven a better understanding of the main authors and their debates. …”
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443
A Semantic Community Detection Algorithm Based on Quantizing Progress
Published 2019-01-01“…The semantic social network is a kind of network that contains enormous nodes and complex semantic information, and the traditional community detection algorithms could not give the ideal cogent communities instead. …”
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444
Dynamics of breast imaging research: A global scoping review and Sino-Australian comparison case study.
Published 2019-01-01“…A dedicated Sino-Australian case study via a social network analysis (SNA) is included as China and Australia have a recent rapidly increasing number of research partnerships and strategic education/economic connections. …”
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445
Paramètres socio-spatiaux, réseaux sociaux et budget d'activité chez un groupe de mâles chimpanzés : stabilité dans le temps et effet de la réduction spatiale
Published 2015-03-01“…We believe that the combined study of grouping patterns, social networks, and activity budgets can provide a deeper understanding of the processes that drive behavioral changes under different conditions. …”
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446
Mining Community-Level Influence in Microblogging Network: A Case Study on Sina Weibo
Published 2017-01-01“…Social influence analysis is important for many social network applications, including recommendation and cybersecurity analysis. …”
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447
A Metaphorical Approach to Developing Behavior Within the Context of the Covid-19 Pandemic
Published 2022-06-01“…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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448
Indicator Selection for Topic Popularity Definition Based on AHP and Deep Learning Models
Published 2020-01-01“…The purpose of this article is to predict the topic popularity on the social network accurately. Indicator selection model for a new definition of topic popularity with degree of grey incidence (DGI) is undertook based on an improved analytic hierarchy process (AHP). …”
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449
Becoming Homebaked
Published 2015-10-01“…This paper examines the democratic co-production between the artist Jeanne Van Heeswijk, the Liverpool Biennial, local citizens and its local and global social network of members, as together they develop alternatives to cultural and economic regeneration. …”
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450
Virtualios laimės beieškant: naudojimasis socialiniais tinklais siekiant pozityvių emocijų iš dalies kompensuoja neigiamą vienišumo ir nerimastingumo efektą gerovei
Published 2023-12-01“… For some time now, social networks have become a common medium for everyday social interactions. …”
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451
Social communication networks and videoconferencing
Published 2022-10-01“…However, communication management strategies are indeed required to ensure that the quality of information disseminated over the social network contributes to sound managerial outcomes. …”
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452
Terrorist Group Behavior Prediction by Wavelet Transform-Based Pattern Recognition
Published 2018-01-01“…Our ideas rely on social network analysis to model the terrorist group and extract relevant features for group behaviors. …”
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453
Ising Model of User Behavior Decision in Network Rumor Propagation
Published 2018-01-01“…The continuous breeding and rapid spread of rumors in social networks poses a severe challenge to the effective utilization and scientific management of social media. …”
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454
Event-Based User Classification in Weibo Media
Published 2014-01-01“…Weibo media, known as the real-time microblogging services, has attracted massive attention and support from social network users. Weibo platform offers an opportunity for people to access information and changes the way people acquire and disseminate information significantly. …”
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455
Research on Enterprise Competitive Information Management Based on Co-Occurrence Analysis
Published 2021-01-01“…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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456
Converting the sociotechnical convergence hazards into the risks of digitalisation
Published 2022-07-01“…Weakly expressed explicit risks are typical for the conversion of the hazard of excessive digital surveillance and the hazard of virtualization of social contacts. The hazard of social network segmentation and the hazard of digital outsider are converted into implicit risks.…”
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457
Sociometric network analysis in illicit drugs research: A scoping review.
Published 2023-01-01“…Previous reviews about social networks and drugs have lacked a focus on the use of sociometric network analysis for illicit drugs research across disciplines. …”
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458
Mapping Linkages between Actors in Cattle Marketing Innovation System of Northeastern Nigeria
Published 2022-03-01“…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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459
استخدام الأرشیفات الوطنیة لشبکة الفیسبوک فى التنمیة المستدامة
Published 2018-04-01“…It alsorecommended establishing an incorporated social network of sustainabledevelopment including all the national archives .…”
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460
Thema and world needs: exploring bibliodiversity through open access book subjects
Published 2025-01-01“…The study deploys social network analysis to investigate affiliations between countries and book classifications, identifying clusters of shared interests. …”
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