Investigating How User's Activities in Both Virtual and Physical World Impact Each Other Leveraging LBSN Data

被引：0

作者：

Yu, Zhiwen ^{[1
]}

Yang, Yue ^{[1
]}

Zhou, Xingshe ^{[1
]}

Zheng, Yu ^{[2
]}

Xie, Xing ^{[2
]}

机构：

[1] Northwestern Polytech Univ, Sch Comp Sci, Xian 710072, Peoples R China

[2] Microsoft Res Asia, Beijing 100080, Peoples R China

来源：

INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS | 2014年

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1155/2014/461780

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 this paper, we investigate how user's online behavior (e.g., making friendships) and their offline activity (e.g., check-ins) affected each other by leveraging the data collected from LBSN. First, we use vectors to represent nodes and define popularity entropy for each node to weigh their popularities and the impact on forming a new edge. Then, we propose an algorithm to calculate the weight of each edge based on our findings that the more overlap of linked nodes they have, the heavier weight the edge has and the more popular the nodes in their overlap are, the lighter the weight of the edge is. Finally, we conduct link prediction by using the random walk with restart method considering the effect of every node and every edge. Experimental results show that user's activity in virtual world and physical world do really have great impact on each other.

引用

页数：9