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The Structure Entropy of Social Networks
Micro triadic structure is an important motif and serves the building block of complex networks. In this paper, the authors define structure entropy...
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Opinion dynamics on social networks
Opinion dynamics has recently attracted much attention, and there have been a lot of achievements in this area. This paper first gives an overview of...
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Target set selection in social networks with tiered influence and activation thresholds
Thanks to the mass adoption of internet and mobile devices, users of the social media can seamlessly and spontaneously connect with their friends,...
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Generalized opinion dynamics model for social trust networks
The study of opinion dynamics model on social networks is one of the hot spots in the field of social sciences. In this paper, we propose a...
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An effective link prediction method in multiplex social networks using local random walk towards dependable pathways
Link Prediction Problem (LPP) is defined as the likelihood of a future connection between two nodes on a network that does not currently have a link...
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RETRACTED ARTICLE: Spatial-temporal deep learning model based rumor source identification in social networks
Rumor source detection has long been an important but difficult problem. Due to the complexity of the underlying propagation model, most existing...
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Dynamic analysis of rumor propagation model with media report and time delay on social networks
When a rumor appears on social networks, the media of relevant departments need reaction time to make an authoritative announcement. Considering the...
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Time and Sequence in Networks of Social Interactions
A social network is a set of actors or of groups of actors that are connected directly or indirectly through relational ties. Most often these ties... -
Mathematical Models of Self-Appraisal in Social Networks
In social networks where individuals discuss opinions on a sequence of topics, the self-confidence an individual exercises in relation to one topic,...
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Celebrity profiling through linguistic analysis of digital social networks
Digital social networks have become an essential source of information because celebrities use them to share their opinions, ideas, thoughts, and...
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Identification of Affective States Based on Automatic Analysis of Texts of Comments in Social Networks
AbstractThe paper considers the problem of classifying 3553 English-language comments from the social network Reddit based on various approaches to...
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Multidimensional Model of Opinion Dynamics in Social Networks: Polarization Indices
AbstractWe consider a multidimensional model of opinion dynamics in social networks. Within the framework of the model, the dynamics of two...
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A polyhedral approach to least cost influence maximization in social networks
The least cost influence maximization problem aims to determine minimum cost of partial (e.g., monetary) incentives initially given to the...
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A model for the co-evolution of dynamic social networks and infectious disease dynamics
Recent research shows an increasing interest in the interplay of social networks and infectious diseases. Many studies either neglect explicit...
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Scale-Free Networks Enhance the Spread of Better Strategy
In this study, we mathematically demonstrate that heterogeneous networks accelerate the social learning process, using a mean-field approximation of...
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Epidemic Spreading and Equilibrium Social Distancing in Heterogeneous Networks
We study a multi-type SIR epidemic process within a heterogeneous population that interacts through a network. We base social contact on a random...
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Automating the Temperament Assessment of Online Social Network Users
AbstractNumerical data retrieved from the accounts of users of a popular Russian-language online social network have been used to automate the...
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Adaptive seeding for profit maximization in social networks
Social networks are becoming important dissemination platforms, and a large body of works have been performed on viral marketing, but most are to...
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Affective polarization and dynamics of information spread in online networks
Members of different political groups not only disagree about issues but also dislike and distrust each other. While social media can amplify this...