An Influence Maximization Algorithm for Dynamic Social Networks Based on Effective Links [PDF]
Entropy, 2022 The connection between users in social networks can be maintained for a certain period of time, and the static network structure formed provides the basic conditions for various kinds of research, especially for discovering customer groups that can ...
Baojun Fu +4 more
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Link Prediction in Dynamic Social Networks Combining Entropy, Causality, and a Graph Convolutional Network Model [PDF]
EntropyLink prediction is recognized as a crucial means to analyze dynamic social networks, revealing the principles of social relationship evolution. However, the complex topology and temporal evolution characteristics of dynamic social networks pose ...
Xiaoli Huang, Jingyu Li, Yumiao Yuan
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Understanding Social Contagion in Adoption Processes Using Dynamic Social Networks. [PDF]
PLoS ONE, 2015 There are many studies in the marketing and diffusion literature of the conditions in which social contagion affects adoption processes. Yet most of these studies assume that social interactions do not change over time, even though actors in social ...
Mauricio Herrera +2 more
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IEEE Access, 2021 Community detection is a crucial challenge in social network analysis. This task is important because it gives leads to study emerging phenomena. Indeed, it makes it possible to identify the different communities representing individuals with common ...
Hedia Zardi +4 more
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Dynamic Influence Maximization via Network Representation Learning
Frontiers in Physics, 2022 Influence maximization is a hot research topic in the social computing field and has gained tremendous studies motivated by its wild application scenarios.
Wei Sheng +4 more
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Research on the Dynamic Multisocial Networks Influence Maximization Problem Based on Common Users
IEEE Access, 2021 The influence maximization problem of a single social network is to find a set of $k$ seed nodes $S$ so that the spread of information from the seed set to the single network has the largest influence. This problem has attracted the attention of many
Yanhong Meng +4 more
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Developing a method for modeling and monitoring of dynamic networks using latent variables [PDF]
International Journal of Industrial Engineering and Production Research, 2021 Statistical monitoring of dynamic networks is a major topic of interest in complex social systems. Many researches have been conducted on modeling and monitoring dynamic social networks. This article proposes a new methodology for modeling and monitoring
Fatemeh Elhambakhsh +1 more
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CM2D: Cost Minimization Under the Competitive Market in Dynamic Social Networks
IEEE Access, 2020 The Reverse Influence Maximization (RIM) model deals with the viral marketing cost minimization in social networks. On the other hand, the Influence maximization (IM) technique finds the small number of influential users that maximize the viral marketing
Ashis Talukder, Choong Seon Hong
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Marked social networks: A new model of social networks based on dynamic behaviors
Engineering Science and Technology, an International Journal, 2022 Social networks are electronically information sharing systems, due to this case, there are many studies on social networks. When studying social networks, text-based solution methods can be used; this type of study is outside the scope of this paper ...
Ahmet Karadoğan, Ali Karcı
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Research on Privacy Protection in Social Network Based on Stochastic Model Checking [PDF]
Jisuanji gongcheng, 2021 The privacy settings in static privacy strategies of the existing online social networks are not flexible and hard for quantitative verification.To address the problem,this paper proposes a dynamic privacy protection framework,which models social ...
LIU Yang, GAO Shiguo
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