A MULTI-AGENT SIMULATION APPROACH TO RUMOR SPREAD IN VIRTUAL COMMNUNITY BASED ON SOCIAL NETWORK

被引:13
作者
Xiao, Renbin [1 ,3 ]
Yu, Tongyang [2 ]
机构
[1] Huazhong Univ Sci & Technol, Inst Syst Engn, Wuhan 430074, Peoples R China
[2] S Cent Univ Nationalities, Sch Management, Wuhan, Peoples R China
[3] Huazhong Univ Sci & Technol, CAD Ctr, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
rumor spread; virtual community; social network; agent; simulation approach; COLLECTIVE DYNAMICS; DIFFUSION; PERCOLATION;
D O I
10.1080/10798587.2011.10643194
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In general, rumor spread has certain impact on public safety and it has become a universal phenomenon in virtual community. Based on the data collected from Kaixin website, which is a famous social network service and website launched in 2008 in China, it is briefly analyzed the network properties, such as maximum degree, average degree and so on. Then a multi-agent rumor spread model in virtual community is established based on the analysis of rumor spread pattern. According to the proposed model, some simulations are conducted to show the impact of network structure, tolerance frequency, and believing rate to rumor spread. It is also concluded that in this kind of virtual community, rumor cannot be eliminated and its spread is also insufficient; each node's tolerance frequency can greatly reduce the prevalence of rumor duration; believing rate of each node can change nodes' trusting states to rumor obviously in the spread process. Finally, it is also suggested that some strategies on Internet culture should be adopted to resist on rumor spread in virtual community.
引用
收藏
页码:859 / 869
页数:11
相关论文
共 50 条
[41]   Minimizing spread of misinformation in social networks: a network topology based approach [J].
Ghoshal, Arnab Kumar ;
Das, Nabanita ;
Das, Soham ;
Dhar, Subhankar .
SOCIAL NETWORK ANALYSIS AND MINING, 2025, 15 (01)
[42]   An energy-efficient multi-agent based architecture in wireless sensor network [J].
Zhang, Yi-Ying ;
Yang, Wen-Cheng ;
Kim, Kee-Bum ;
Cui, Min-Yu ;
Xue, Ming ;
Park, Myong-Soon .
PROGRESS IN WWW RESEARCH AND DEVELOPMENT, PROCEEDINGS, 2008, 4976 :124-129
[43]   A Social Multi-Agent Cooperation System Based on Planning and Distributed Task Allocation [J].
Gharbi, Atef .
INFORMATION, 2020, 11 (05)
[44]   A multi-agent oriented solution to automatic formation of virtual enterprises [J].
Xiao-Qing, Zeng ;
Ning, Liu .
RESEARCH ON ORGANIZATIONAL INNOVATION - 2007 PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ENTERPRISE ENGINEERING AND MANAGEMENT INNOVATION, 2007, :568-573
[45]   Labor Market in Multi-agent Environment Modeling Virtual Economy [J].
Blecha, Petr .
HRADEC ECONOMIC DAYS, PT I, 2018, 2018, 8 :114-120
[46]   Towards multi-agent support for open mobile virtual communities [J].
Rakotonirainy, A ;
Loke, SW ;
Zaslavsky, A .
IC-AI'2000: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 1-III, 2000, :127-133
[47]   Evaluation on Credibility of Multi-Agent Warfare Simulation Model [J].
Li, Xiong ;
Zhao, Dongbo .
2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL IX, 2010, :277-280
[48]   Evaluation on Credibility of Multi-Agent Warfare Simulation Model [J].
Li, Xiong ;
Zhao, Dongbo .
2011 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION AND INDUSTRIAL APPLICATION (ICIA2011), VOL IV, 2011, :276-279
[49]   Study on multi-agent based simulation process of signaling game in e-Commerce [J].
Yin, Qiuju ;
Zhi, Kun .
2010 SECOND INTERNATIONAL CONFERENCE ON E-LEARNING, E-BUSINESS, ENTERPRISE INFORMATION SYSTEMS, AND E-GOVERNMENT (EEEE 2010), VOL I, 2010, :396-399
[50]   Exploiting Social Annotations to Generate Resource Descriptions in a Distributed Environment: Cooperative Multi-Agent Simulation on Query-Based Sampling [J].
Zakaria Saoud ;
Samir Kechid ;
Mahmoud Saoud ;
Antoine Doucet .
The Review of Socionetwork Strategies, 2017, 11 (1) :83-93