Identifying peer influence in online social networks using transfer entropy
文献类型：会议论文
| 作者 | He, Saike1 ; Zheng, Xiaolong1; Zeng, Daniel1,2; Cui, Kainan3; Zhang, Zhu1; Luo, Chuan
|
| 出版日期 | 2013-08-03 |
| 会议名称 | PAISI’13, in conjunction IJCAI’13 |
| 会议日期 | 2013-8-3 ~ 2013-8-9 |
| 会议地点 | Beijing, China |
| 关键词 | Transfer Entropy Causal Inference Peer Influence |
| 页码 | 47-61 |
| 通讯作者 | He, Saike |
| 英文摘要 | The past few years have witnessed the rapid growth of online social networks, which have become important hubs of social activity and conduits of information. Identifying social influence in these newly emerging platforms can provide us with significant insights to better understand the interaction behaviors among online users. However, it is difficult for us to measure the influence quantitatively among user peers, since many key factors such as homophily and heterogeneity, can not be observed in our real world conveniently. More recent work mainly focuses on developing theoretical models based on explicit causal knowledge. Nevertheless, such knowledge is usually not available and often needs to be discovered. In this paper, we introduce a model free approach to formulate causal inferences of behaviors among user peers. Experimental results show that influence measured by our approach could successfully reconstruct the underlying networks structure. Furthermore, two additional case studies based on this approach reveal that influentials wield power through specific venues, which constitute a comparatively small portion of the whole channels. |
| 收录类别 | EI |
| 会议录 | PAISI’13, in conjunction IJCAI’13
 |
| 会议录出版者 | Intelligence and Security Informatics |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/10781]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 |
| 作者单位 | 1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.Department of Management Information System, University of Arizona 3.The School of Electronic and Information Engineering, Xi'an Jiaotong University |
| 推荐引用方式 GB/T 7714 | He, Saike,Zheng, Xiaolong,Zeng, Daniel,et al. Identifying peer influence in online social networks using transfer entropy[C]. 见:PAISI’13, in conjunction IJCAI’13. Beijing, China. 2013-8-3 ~ 2013-8-9. |
入库方式： OAI收割
来源：自动化研究所
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