Please wait a minute...
文章检索
复杂系统与复杂性科学  2024, Vol. 21 Issue (3): 38-45    DOI: 10.13306/j.1672-3813.2024.03.006
  复杂网络 本期目录 | 过刊浏览 | 高级检索 |
基于社交网络的舆情多信息交互传播机制研究
王筱莉, 张静, 陈淑琴, 钱梦迪
上海工程技术大学管理学院,上海 201620
Research on Multi Information Interactive Communication Mechanism of Public Opinion Based on Social Network
WANG Xiaoli, ZHANG Jing, CHEN Shuqin, QIAN Mengdi
School of Management, Shanghai University of Engineering Science, Shanghai 201620, China
全文: PDF(2426 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 为分析社交网络中同一舆情事件多信息的交互式传播机制,将多种信息之间的互动分为合作、独立和竞争三种类型,依据多种信息传播的交互情况构建信息传播模型。研究发现信息属性、信息相互作用因子和网络拓扑结构对舆情多信息传播具有不同影响,且多信息交互传播时不同个体状态变化特征不同。研究结果可以帮助学者更好地理解社交网络中舆情多信息交互传播机制,为舆情信息的最大化传播或控制信息传播提供一定的理论指导。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
王筱莉
张静
陈淑琴
钱梦迪
关键词 多信息社交网络相互作用交互传播    
Abstract:To analyze the interactive dissemination mechanism of multiple information on the same public opinion event in social networks, this article divides the interaction between multiple information into three types: cooperation, independence, and competition. Based on the interaction situation of multiple information dissemination, an information dissemination model is constructed. Research has found that information attributes, information interaction factors, and network topology have different impacts on the dissemination of public opinion multi information, and different individuals have different characteristics of state changes during the interactive dissemination of multi information. The research results can help scholars better understand the mechanism of multi information interaction and dissemination of public opinion in social networks, and provide certain theoretical guidance for maximizing or controlling the dissemination of public opinion information.
Key wordsmulti information    social networks    interaction    interactive communication
收稿日期: 2022-10-25      出版日期: 2024-11-07
ZTFLH:  G206  
  N94  
基金资助:国家社会科学基金(19BGL234,2021EGL004)
通讯作者: 张静(1997-),女,河南周口人,硕士研究生,主要研究方向为网络舆情、应急管理。   
作者简介: 王筱莉(1981-),女,山东临沂人,博士,副教授,主要研究方向为网络舆情、应急管理.
引用本文:   
王筱莉, 张静, 陈淑琴, 钱梦迪. 基于社交网络的舆情多信息交互传播机制研究[J]. 复杂系统与复杂性科学, 2024, 21(3): 38-45.
WANG Xiaoli, ZHANG Jing, CHEN Shuqin, QIAN Mengdi. Research on Multi Information Interactive Communication Mechanism of Public Opinion Based on Social Network[J]. Complex Systems and Complexity Science, 2024, 21(3): 38-45.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2024.03.006      或      https://fzkx.qdu.edu.cn/CN/Y2024/V21/I3/38
[1] KERMACK W O, MCKENDRICK A G. A contribution to the mathematical theory of epidemics[J]. Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character, 1927, 115(772): 700-721.
[2] DALEY D J, KENDALL D G. Epidemics and rumours[J]. Nature,1964,204(4963): 1118-1118.
[3] WATTS D J, STROGATZ S H. Collective dynamics of "small-world" neteorks[J].Nature,1998, 393(6684):440-442.
[4] NEWMAN M E J, WATTS D J. Renormalization group analysis of the small-world network model[J].Physics Letters A,1999,263:341-346.
[5] ZANETTE D H.Dynamics of rumor propagation on small world networks[J].Physical Review E,2002,65(4):1908-1916.
[6] ZHANG R X, LI D Y. Rumor propagation on networks with community structure[J].Physica A:Statistical Mechanics and Its Applications, 2017, 483:375-385.
[7] ZHU L, WANG Y G. Rumor diffusion model with spatio-temporal diffusion and uncertainty of behavior decision in complex social networks[J].Physica A:Statistical Mechanics and Its Applications,2018,502:29-39.
[8] 王家坤,王新华.双层社交网络上的企业舆情传播模型及控制策略研究[J].管理科学,2019,32(1):28-41.
WANG J K, WANG X H.Research on the enterprise public opinion spreading model and control strategy in two-layer social networks[J].Journal of Management Science,2019,32(1):28-41.
[9] XIAN J J, YANG D, PAN L M, et al. Misinformation spreading on correlated multiplex networks[J]. Chaos: an Interdisciplinary Journal of Nonlinear Science, 2019, 29(11): 113123.
[10] STANOEV A, TRPEVSKI D, KOCAREV L. Modeling the spread of multiple concurrent contagions on networks[J]. PloS One, 2014, 9(6): e95669.
[11] 王治莹,梁敬.突发事件中多种异质信息在出现时间差异情境下的竞争传播研究——两阶段竞争模型[J].管理评论, 2019, 31(10):263-272.
WANG Z Y,LIANG J. Competitive propagation of multi-heterogeneous information with occurrence time differences in emergencies—two-stage competition model[J].Management Review, 2019, 31(10):263-272.
[12] YAN X B, JIANG P. Effect of the dynamics of human behavior on the competitive spreading of information[J]. Computers in Human Behavior, 2018, 89: 1-7.
[13] ZHU Z Q, GAO C, ZHANG Y M, et al. Cooperation and competition among information on social networks[J]. Scientific Reports, 2020, 10(1): 1-12.
[14] XIAO Y P, ZHANG L, LI Q, et al. MM-SIS: Model for multiple information spreading in multiplex network[J]. Physica A: Statistical Mechanics and Its Applications, 2019, 513: 135-146.
[15] YANG D, CHOW T W S, ZHONG L, et al. True and fake information spreading over the Facebook[J]. Physica A: Statistical Mechanics and Its Applications, 2018, 505: 984-994.
[16] VOSOUGHI S, ROY D, ARAL S. The spread of true and false news online[J]. Science, 2018, 359(6380): 1146-1151.
[17] 杨超,王友国,朱亮.在线社交网络中双谣言扩散的阈值研究[J].计算机仿真,2020,37(8):206-209+370.
YANG C,WANG Y G,ZHU L.Research on threshold of double rumor spread in online social networks[J]. Computer Simulation,2020,37(8):206-209,370.
[18] 杨磊,封永雪,侯贵生,等.个体因素与外部环境共同作用下的跨平台社交网络舆情传播模型研究[J].现代情报,2021,41(3):138-147,158.
YANG L, FENG Y X, HOU G S, et al.Research on cross-platform social network public opinion propagation model under the joint action of individual factors and external environment[J].Journal of Modern Information,2021,41(3):138-147,158.
[19] ZHU L H, LIU W S, ZHANG Z D. Interplay between epidemic and information spreading on multiplex networks[J]. Mathematics and Computers in Simulation, 2021, 188: 268-279.
[20] 李丹丹,马静.双层社会网络上的舆情传播动力学分析[J].系统工程理论与实践,2017,37(10):2672-2679.
LI D D,MA J.Public opinion spreading dynamics in a two-layer social network[J].Systems Engineering-Theory&Practice,2017, 37(10):2672-2679.
[21] LI D D, MA J, TIAN Z H, et al. An evolutionary game for the diffusion of rumor in complex networks[J]. Physica A: Statistical Mechanics and Its Applications, 2015, 433: 51-58.
[1] 左子健, 张琳, 吴晔, 许小可. 基于社交网络信息的新冠疫情抽检策略研究[J]. 复杂系统与复杂性科学, 2023, 20(3): 20-26.
[2] 赵薇, 李建波, 吕志强, 董传浩. 融合时间和地理信息的兴趣点推荐研究[J]. 复杂系统与复杂性科学, 2022, 19(4): 25-31.
[3] 王浩, 许小可. 融合文本和表情符号特征的社交网络用户性别识别[J]. 复杂系统与复杂性科学, 2022, 19(4): 17-24.
[4] 王玉, 许楠楠, 胡海波. 社交媒体中的跨平台信息扩散特征及机制[J]. 复杂系统与复杂性科学, 2022, 19(4): 7-16.
[5] 赵炎, 宾晟, 孙更新. 区块链社交网络中信息传播模型研究[J]. 复杂系统与复杂性科学, 2022, 19(2): 1-8.
[6] 闫晓雪, 纪志坚. 社交网络中多领导者观点的博弈建模分析[J]. 复杂系统与复杂性科学, 2022, 19(1): 20-26.
[7] 翁克瑞, 沈卉, 侯俊东. 确定性社会影响力竞争扩散问题研究[J]. 复杂系统与复杂性科学, 2021, 18(4): 21-29.
[8] 公翠娟, 宾晟, 孙更新. 基于多种社交关系的概率矩阵分解推荐算法[J]. 复杂系统与复杂性科学, 2021, 18(1): 1-7.
[9] 周双, 宾晟, 孙更新. 融合多关系的矩阵分解社会化推荐算法[J]. 复杂系统与复杂性科学, 2020, 17(1): 30-36.
[10] 周双, 宾晟, 邵峰晶, 孙更新. 基于多子网复合复杂网络模型的物质扩散推荐算法[J]. 复杂系统与复杂性科学, 2018, 15(4): 77-84.
[11] 吴晓, 刘万平, 杨武, 卢玲, 刘小洋, 黄诗雯. 新型社交网络谣言传播演化模型研究[J]. 复杂系统与复杂性科学, 2018, 15(2): 34-44.
[12] 李沧海, 许益贴, 罗春海, 胡海波. 微博信息扩散的空间分析[J]. 复杂系统与复杂性科学, 2017, 14(3): 75-84.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed