Abstract
Information spreading in social networks is affected by many factors. Based on a novel information spreading model with five spreading mechanisms, we analyzed and compared the influence of various factors on information spreading. Through a large number of simulation experiments, we found that: (1) K-shell layers have the greatest impact on information spreading; (2) distance between the two information sources, correlation coefficient between two types of information and social reinforcement also affect the information spreading. The analysis results of these factors will be helpful for us to predict the trend of information spreading and find effective strategies to control information spreading.
Highlights
Accepted: November 12, 2019Published: December 12, 2019
We first analyzed the impact of the distance (d) between the two information sources on information spreading when correlation coefficient (β) and social reinforcement (c) take different values
In order to better understand the spreading mechanisms and the key affecting factors of information spreading in social networks, this paper proposed a model of information spreading that considered five spreading mechanisms: memory effects, social reinforcement, non-redundancy, human heterogeneity, and attentional decline
Summary
The major aim of the paper is to analyze what factors affect the spread of information, and clarify which are the primary, secondary and unimportant factors
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