项目名称: 在线社会网络中信息级联效应及社会影响力优化策略研究
项目编号: No.71472175
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 管理科学
项目作者: 郑晓龙
作者单位: 中国科学院自动化研究所
项目金额: 58万元
中文摘要: 近年来,伴随着信息技术的迅猛发展,社交网络平台已经成为越来越多的人们获取信息和交流观点的重要平台。这些技术的兴起使得各类信息能够借助于网民群体得以快速传播,由此产生的信息级联效应。在线社会网络中的信息级联能够加快新产品和新技术的应用与推广,但与此同时,其也会使得网络谣言得以滋生和蔓延,给企业或者社会带来重大经济损失。本项目基于社会媒体信息,构建多源在线动态社会网络,分析网络的结构特征及其演化行为,研究信息级联动力学建模方法,并探索社会影响力优化策略,为企业和国家相关部门提供重要决策支持。
中文关键词: 社会网络;信息级联;社会影响
英文摘要: In the past few years, with the rapid growth of Information technologies, individuals have exhibited more and more interests to obtain information and communicate with others via social networking platforms. These platforms can help information diffuse quickly. This process will potentially leads to the emergence of information cascade. These cascade effects in online social networks can promote new products and technologies to be accepted by a large amount of users. However, they can also evoke a large number of online rumors, which may bring huge economic costs for our society. Based on social media information, this project will mainly focuses on: 1) constructing several dynamic online social networks with different types of nodes, 2) analyzing the topological patterns and dynamical behaviors. 3) developing more reasonable information cascading models, and 4)optimizing the social influence strategies. We hope that these results can help companies and some related national departments to make more scientific decisions.
英文关键词: Social Networks;Information Cascade;Social Influence