Strategic Network Formation in a Location-Based Social Network: A Topic Modeling Approach

被引：2

作者：

Lee, Gene Moo ^{[1
]}

Qiu, Liangfei ^{[2
]}

Whinston, Andrew B. ^{[3
]}

机构：

[1] Univ Texas Arlington, Arlington, TX 76019 USA

[2] Univ Florida, Gainesville, FL 32611 USA

[3] Univ Texas Austin, Austin, TX 78712 USA

来源：

PROCEEDINGS OF THE 49TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS 2016) | 2016年

关键词：

INFORMATION-TECHNOLOGY; DIFFUSION; CONTAGION; MARKETS;

D O I：

10.1109/HICSS.2016.649

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper studies strategic network formation in a location-based social network. We build a structural model of social link creation that incorporates individual characteristics and pairwise user similarities. Specifically, we define four user proximity measures from biography, geography, mobility, and short messages. To construct proximity from unstructured text information, we build topic models using latent Dirichlet allocation. Using Gowalla data with 385,306 users, three million locations, and 35 million check-in records, we empirically estimate the structural model to find evidence on the homophily effect in network formation.

引用

页码：5249 / 5258

页数：10

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