Information Spreading Considering Repeated Judgment with Non-Recursion

Yufang Fu, Bin Cao, Wei Zhang and Zongwei Luo ()
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Yufang Fu: School of Economics & Management, Zhejiang Ocean University, Zhoushan 316022, China
Bin Cao: School of Management, Xi’an University of Architecture & Technology, Xi’an 710055, China
Wei Zhang: School of Management, Xi’an University of Architecture & Technology, Xi’an 710055, China
Zongwei Luo: BNU-UIC Institute of AI and Future Networks, Beijing Normal University, Zhuhai 519000, China

Mathematics, 2022, vol. 10, issue 24, 1-16

Abstract: This paper investigates an information spreading mechanism under repeated judgment. In a generalized model, we prove that given a necessary condition, information under repeated judgment can sustain continuous spreading. Furthermore, we generalize the aforementioned spreading model on heterogeneous networks and calculate the analytic solution of the final state, in which spreaders finally have a stable scale to ensure that information can continuously spread when repeated judgment of information takes place. Moreover, the simulation results show that the more neighbors the spreaders have, the quicker the information vanishes. This finding suggests that in terms of information spreading under repeated judgement, it is not better to have more neighbors, quite contrary to common opinion.

Keywords: information spreading; forget mechanism; repeated-judgment; utility function (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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