Abstract
The propagation of rumor has become a common phenomenon in social networks. Studying the dynamic propagation of rumor can help locate the key points to control rumor propagation. To further research the internal motivation of state transition, a corrector-ignorant-spreader-weakener (C-SIW) model is proposed in this paper. When the individual changes state to transmit rumor, the neighbor may have a significant impact on rumor propagation. Considering the point, this paper constructs a function to describe the propagation rate, which relates to the state of neighbors and the reputation of the spreader. In addition, perception from life also can cause individual state changes. Based on the above fact, the links from the spreader and the weakener to the corrector are added to describe the perception mechanism. Then, combining the derived average field equations, the steady state of the model is analyzed and verified in experimental simulation. Moreover, the experimental results on different networks show that the perception mechanism reduces the rumor influence. Besides, the variable propagation rate can position the fast-growing stage of rumor propagation more accurately and facilitate the control of rumor propagation.
Highlights
Driven by the rapid development of the Internet and information technology, social networks [1, 2] have become an indispensable platform to meet people’s information needs and daily communication
The main research contributions of the paper can be reflected in the following aspects: (i) Considering the impact of social relations, the rumor propagation rate of C-SIW model depends on the comprehensive influence of neighbors and the reputation of the spreader when the ignorant is infected by a spreader
Facebook is closer to people’s lives. erefore, the paper investigates the dynamic spread of rumors and makes a concrete comparison with the results of the generated WS network and BA network through the experiment on the real social network Facebook
Summary
Driven by the rapid development of the Internet and information technology, social networks [1, 2] have become an indispensable platform to meet people’s information needs and daily communication. (i) Considering the impact of social relations, the rumor propagation rate of C-SIW model depends on the comprehensive influence of neighbors and the reputation of the spreader when the ignorant is infected by a spreader. Both weakener and corrector are negative parties for rumor propagation In such a situation, this paper considers that when an individual is infected to spread the rumor, social relationship is a comprehensive effect of potential contact between individual and neighbors. Since the obtained average field equations (i.e., equations (3)–(6)) describe the propagation rules of the C-SIW model, the work is to analyze systematically the dynamic propagation of rumor based on the average field equations
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