Information spreading on dynamic social networks
Chuang Liu,Zi-Ke Zhang +1 more
TLDR
In this article, a link rewiring strategy based on the Fermi function is introduced to capture the dynamical property of peer-to-peer networks and study its impact on information spreading, where the informed individuals tend to break old links and reconnect to their second-order friends with more uninformed neighbors.About:
This article is published in Communications in Nonlinear Science and Numerical Simulation.The article was published on 2014-04-01 and is currently open access. It has received 134 citations till now. The article focuses on the topics: Information cascade.read more
Citations
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Proceedings Article
Cooperation prevails when individuals adjust their social ties
TL;DR: These results show that simple topological dynamics reflecting the individual capacity for self-organization of social ties can produce realistic networks of high average connectivity with associated single-to-broad–scale heterogeneity and heterogeneity is found to become maximal when W reaches its critical value.
Journal ArticleDOI
Identifying a set of influential spreaders in complex networks
TL;DR: VoteRank is presented, a simply yet effectively iterative method named VoteRank to identify a set of decentralized spreaders with the best spreading ability, and experimental results show that under Susceptible-Infected-Recovered (SIR) and Susceptibles Infected (SI) models, VoteRank outperforms the traditional benchmark methods on both spreading rate and final affected scale.
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A Survey on Information Diffusion in Online Social Networks: Models and Methods
TL;DR: This paper divides the diffusion models into two categories—explanatory models and predictive models—in which the former includes epidemics and influence models and the latter includes independent cascade, linear threshold, and game theory models.
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Coupling dynamics of epidemic spreading and information diffusion on complex networks.
Xiu-Xiu Zhan,Xiu-Xiu Zhan,Chuang Liu,Ge Zhou,Zi-Ke Zhang,Zi-Ke Zhang,Gui-Quan Sun,Jonathan J. H. Zhu,Zhen Jin +8 more
TL;DR: This work analyzes the propagation of two representative diseases in the real-world population and their corresponding information on Internet, suggesting the high correlation of the two-type dynamical processes.
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The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools
TL;DR: This work proposes the definition of four different dimensions, namely Pattern & Knowledge discovery, Information Fusion & Integration, Scalability, and Visualization, which are used to define a set of new metrics (termed degrees) in order to evaluate the different software tools and frameworks of SNA.
References
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Collective dynamics of small-world networks
TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
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Epidemic Spreading in Scale-Free Networks
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Statistical physics of social dynamics
TL;DR: In this article, a wide list of topics ranging from opinion and cultural and language dynamics to crowd behavior, hierarchy formation, human dynamics, and social spreading are reviewed and connections between these problems and other, more traditional, topics of statistical physics are highlighted.
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Spread of epidemic disease on networks.
Mark Newman,Mark Newman +1 more
TL;DR: This paper shows that a large class of standard epidemiological models, the so-called susceptible/infective/removed (SIR) models can be solved exactly on a wide variety of networks.