Title :
A novel SCNDR rumor propagation model on online social networks
Author :
Weijun Hong ; Zhipeng Gao ; Yuwen Hao ; Xiaoxue Li
Abstract :
With the rapid development of online social networks, the spread of online rumors will result in serious social problems. How to correctly understand the propagation rules of online rumors, and effectively control the spread of online rumors, has very important research. Based on the detailed analysis of the classic epidemic spreading model, this paper divides the infected states into credulous(C), neutrals(N) and denies(D) according to the characteristics of online social networks, then proposes the new SCNDR rumor propagation model on online social networks. Based on the SCNDR model, derives the dynamic differential equations and designs the algorithm for SCNDR.
Keywords :
social networking (online); social sciences computing; SCNDR rumor propagation model; epidemic spreading model; online rumors; online social networks; Algorithm design and analysis; Analytical models; Differential equations; Heuristic algorithms; Mathematical model; Numerical models; Social network services;
Conference_Titel :
Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
Conference_Location :
Taipei
DOI :
10.1109/ICCE-TW.2015.7216829