0


社会网络进化与意见迁移的协同进化模型

The Co-Evolution Model for Social Network Evolving and Opinion Migration
课程网址: http://videolectures.net/kdd2017_gu_social_network/  
主讲教师: Yupeng Gu
开课单位: 加州大学洛杉矶分校
开课时间: 2017-10-09
课程语种: 英语
中文简介:
几乎所有现实世界的社交网络都是动态的,并随着时间的推移而演变,其中新的链接可能形成,旧的链接可能会消失,这在很大程度上取决于社交参与者(即网络中的节点)的同质性。同时,社会行动者的(潜在)属性,如他们的意见,也在随着时间的推移而变化,部分原因是来自网络的社会影响,这反过来又会影响网络结构。社会网络进化和节点属性迁移通常被视为两个正交问题,并分别进行了研究。在本文中,我们提出了一个共同进化模型,通过将这两种现象建模在一起来闭合循环,该模型包含两个主要组成部分:(1) 它可以模拟广泛的现象,如意见趋同(即羊群效应)和基于社区的意见分歧;(2)它允许我们通过一系列因素来控制进化,如社会影响范围、意见领袖和噪音水平。最后,我们的模型的有用性通过国会立法法案共同赞助预测的应用得到了证明,该预测优于几个最先进的基线。
课程简介: Almost all real-world social networks are dynamic and evolving with time, where new links may form and old links may drop, largely determined by the homophily of social actors (i.e., nodes in the network). Meanwhile, (latent) properties of social actors, such as their opinions, are changing along the time, partially due to social influence received from the network, which will in turn affect the network structure. Social network evolution and node property migration are usually treated as two orthogonal problems, and have been studied separately. In this paper, we propose a co-evolution model that closes the loop by modeling the two phenomena together, which contains two major components: (1) a network generative model when the node property is known; and (2) a property migration model when the social network structure is known. Simulation shows that our model has several nice properties: (1) it can model a broad range of phenomena such as opinion convergence (i.e., herding) and community-based opinion divergence; and (2) it allows us control the evolution via a set of factors such as social influence scope, opinion leader, and noise level. Finally, the usefulness of our model is demonstrated by an application of co-sponsorship prediction for legislative bills in Congress, which outperforms several state-of-the-art baselines.
关 键 词: 网络进化; 意见迁移; 协同进化
课程来源: 视频讲座网
数据采集: 2023-06-07:chenxin01
最后编审: 2023-06-07:chenxin01
阅读次数: 16