2017
DOI: 10.1016/j.physa.2016.11.067
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The analysis of anSEIRrumor propagation model on heterogeneous network

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Cited by 158 publications
(45 citation statements)
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“…The SIR epidemic spread model divides network nodes into three states: susceptible state S, infected state I, and immune state R [27][28][29][30][31]. To study the dissemination rules of public opinion propagation, the researchers introduced the contact state C based on the SIR model, and built the SCIR public opinion propagation model.…”
Section: Scir Public Opinion Propagation Modelmentioning
confidence: 99%
“…The SIR epidemic spread model divides network nodes into three states: susceptible state S, infected state I, and immune state R [27][28][29][30][31]. To study the dissemination rules of public opinion propagation, the researchers introduced the contact state C based on the SIR model, and built the SCIR public opinion propagation model.…”
Section: Scir Public Opinion Propagation Modelmentioning
confidence: 99%
“…Proof. The first and the second conditions (27) provide respectively a positivity of R * 2 and a negativity of the coefficient before z 2 (t) in the third equation of the system (26). Please note that the inequality…”
Section: 3mentioning
confidence: 99%
“…A large body of work has studied the spread of content on social media [13,14]. One approach is to mathemat-ically model the spread of content on social media using ordinary differential equations, where the equations can capture changes in time of the proportion of a population that is "susceptible to", "exposed to", "infected with", or "immune to" the propagation of such content (e.g., a rumor) [15][16][17][18]. Such compartmental models have the advantage of being analytically tractable, but they do not capture the effects of either network structure or heterogeneity in account characteristics.…”
Section: Introductionmentioning
confidence: 99%