Understanding Social Influence in Activity Location Choice and Lifestyle Patterns Using Geolocation Data from Social Media

Frontiers in ICT

Hasan, Samiul¹  Zhan, Xianyuan²  Ukkusuri, Satish V.² 

[1] Liveable, Sustainable and Resilient Cities Program, Land and Water Flagship, CSIRO, Australia;Lyles School of Civil Engineering, Purdue University, USA

关键词: social influence;    Activity-travel behavior;    Social Media;    Location-based social networks;    Geo-location data;    topic models;   

DOI  :  10.3389/fict.2016.00010

学科分类：计算机网络和通讯

来源: Frontiers

【 摘 要 】

Social media check-in services have enabled people to share their activity-related choices providing a new source of human activity and social networks data. Geo-location data from these services offers us information, in new ways, to understand social influence on individual choices. In this paper, we investigate the extent of social influence on individual activity and life-style choices from social media check-in data. We first collect user check-ins and their social network information by linking two social media systems (Twitter and Foursquare) and analyze the structure of the underlying social network. We next infer user check-in and geo life-style patterns using topic models. We analyze the correlation between the social relationships and individual-level patterns. We investigate whether or not two individuals have similar activity choice and geo life-style patterns if they are socially connected. We find that the similarity between two users, in their check-in behavior and life-style patterns, increases with the increase of the friendship probability.

【 授权许可】

CC BY