基于三层微信网络的谣言传播模型仿真研究
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摘要
【目的/意义】近年来微信已成为民众社交的首要平台,同时也逐渐成为谣言传播的主阵地,但目前针对微信谣言传播的研究尚不多见。【方法/过程】将微信网络划分为朋友圈网络、群网络和公众用户网络,生成了微信谣言传播加权有向三层网络,在此网络基础上构建了基于兴趣衰减效应的线性阈值谣言传播模型,并利用多主体仿真平台Netlogo对该模型进行仿真。【结果/结论】研究发现,微信群的存在改变了个人用户网络节点的度分布,且导致当节点信任度较低时微信网络比微博类网络更有利于谣言的传播;节点信任度与谣言的传播力度显著正相关;增大谣言传播阈值和减小谣言传播兴趣值,能有效抑制谣言的传播。
【Purpose/significance】In recent years, WeChat has become the primary platform for social contacting, and alsohas become the main battlefield of rumor spreading, but the research on WeChat is still rare.【Method/process】This paperdivided the WeChat network into the friend-circle-network, the group-networks and the official-account-network, con-structed a weighted and directed three-layer WeChat network, and established a linear threshold rumor spread model.【Re-sult/conclusion】Using the Multi-agent simulation platform Netlogo, it is found that the existence of a large number of We-Chat groups has change the degree distribution of the network nodes, and when the node-trust is low, WeChat network ismore conducive to the spread of rumors than the micro-blog network. It is also found the degree of trusts are positively cor-related with the spread of rumor,and increasing the threshold value of rumor propagation threshold and reducing the inter-est value of spreading rumors can effectively suppress the spread of rumors.
【Purpose/significance】In recent years, WeChat has become the primary platform for social contacting, and alsohas become the main battlefield of rumor spreading, but the research on WeChat is still rare.【Method/process】This paperdivided the WeChat network into the friend-circle-network, the group-networks and the official-account-network, con-structed a weighted and directed three-layer WeChat network, and established a linear threshold rumor spread model.【Re-sult/conclusion】Using the Multi-agent simulation platform Netlogo, it is found that the existence of a large number of We-Chat groups has change the degree distribution of the network nodes, and when the node-trust is low, WeChat network ismore conducive to the spread of rumors than the micro-blog network. It is also found the degree of trusts are positively cor-related with the spread of rumor,and increasing the threshold value of rumor propagation threshold and reducing the inter-est value of spreading rumors can effectively suppress the spread of rumors.
引文
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16 樊鹏翼,王晖,姜志宏,李沛.微博网络测量研究[J].计算机研究与发展,2012,(4):691-699.
2 张芳,司光亚,罗批.谣言传播模型研究综述[J].复杂系统与复杂性科学,2009,6(4):1-11.
3 Watts D J,Strogatz S H.Collective dynamics of small-w orld network[J].Nature,1998,393(4):440-442.
4 Barabási A L,Albert R.Emergence of scaling in random networks[J].Science,1999,286(5439):509-512.
5 Zanette D H.Dynamics of rumor propagation on small-world networks[J].Physical Review E,2002,65:041908.
6 Roshani F,Naimi Y.Effects of degree-biased transmission rate and nonlinear infectivity on rumor spreading in complex social networks[J].Physical Review E,2012,85(3):036109.
7 Nekovee M,Moreno Y,Bianconi G,Marsili M.Theory of rumour spreading in complex social networks[J].Physica A,2007,(374):457-470.
8 Zhao Laijun,Wang Qin,Cheng Jingjing,et al.Rumor spreading model with consideration of forgetting mechanism:A case of online blogging Live Journal[J].Physica A,2011,390(390):2619-2625.
9 Zhou Jie,Liu Zonghua,Li Baowen.Influence of network structure on rumor propagation[J].Physics letter A,2007,368(6):458-463.
10 Xiong Fei,Liu Yun,Zhang Zhenjiang,et al.An information diffusion model based on retweeting mechanism for online social media[J].Physics letters A,2012,376(30-31):2103-2108.
11 Zhao Laijun,Cui Hongxin,Qiu Xiaoyan,et al.SIR rumor spreading model in the new media age[J].Physica A:Statistical Mechanics and its Applications,2013,392(4):995-1003.
12 王辉,韩江洪,邓林,程克勤.基于移动社交网络的谣言传播动力学研究[J].物理学报,2013,(11):106-117.
13 Holme P,Kim B J.Growing scale-free networks with tunable clustering[J].Phys Rev E,2002,65(2):026107.
14 Kempe D,Kleinberg J,Tardos E.Maximizing the spread of influence through a social network[C]//Proceeding of the9 th ACM SIGKDD International Conference on Knowledge Discover and Data Mining.Washington,DC,USA,2003:137-146.
15 Liu Yunhao,Xiao Li,Liu Xiaomei.Location Awareness in Unstructured Peer-to-peer Systems[J].IEEE Transactions on Parallel and Distributed Systems,2005,16(2):163-174.
16 樊鹏翼,王晖,姜志宏,李沛.微博网络测量研究[J].计算机研究与发展,2012,(4):691-699.