Abstract
Online Social Network (OSN) has become an indispensable part of our daily life. Analyzing influence factors and propagation rules for rumor spreading in OSN is of great significance to the guidance and prediction of social public opinion. This paper proposes a dynamic information propagation model, Disseminate & Discriminate-Spread-Exposed-Ignorant-Recover (i.e., DDSEIR) based on user’s dissemination capacity and discriminant ability. First, this paper introduces a hierarchical mechanism based on degree centrality theory to roughly categorize Internet users according to user’s dissemination capacity. And subsequently, user’s discriminant ability can be evaluated by sender’s identity and information attributes. Finally, experimental results prove that the DDSEIR not only delays the time of rumor spreading but also reduces the scale of rumor propagation.
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Acknowledgment
This research is supported by the National Natural Science Foundation of China (NSFC) under Grant Nos. 61872205, the Shandong Provincial Natural Science Foundation No. ZR2019MF018, the Project of Shandong Province Higher Educational Science and Technology Program under Grant No. J16LN06, the Source Innovation Program of Qingdao under Grant No. 18-2-2-56-jch, the Open Research Fund from Shandong Provincial Key Laboratory of Computer Networks under Grant No. SDKLCN-2018-07 and the State Foundation of China for Studying Abroad to Visit the United States as a ‘Visiting Scholar’.
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Li, L., Xia, H., Zhang, R., Li, Y. (2019). DDSEIR: A Dynamic Rumor Spreading Model in Online Social Networks. In: Biagioni, E., Zheng, Y., Cheng, S. (eds) Wireless Algorithms, Systems, and Applications. WASA 2019. Lecture Notes in Computer Science(), vol 11604. Springer, Cham. https://doi.org/10.1007/978-3-030-23597-0_49
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DOI: https://doi.org/10.1007/978-3-030-23597-0_49
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