@inproceedings{f76c814f8de2436ead215ff6259158cb,
title = "From tie strength to function: Home location estimation in social network",
abstract = "In this paper, we focus on the problem of estimating users' home locations in the Twitter network. In order to solve the aforementioned problem, we propose a Social Tie Factor Graph Model (STFGM) for estimating a Twitter user's city-level location based on the following network, user-centric data and tie strength. In STFG, relationships between users and locations in social network are modeled as nodes, the attributes and correlations are modeled as factors. An efficient algorithm is proposed to learn model parameters and to predict unknown relationships. We evaluate our proposed method on large Twitter networks. Experimental results demonstrate that our proposed method significantly outperforms several state-of-the-art methods and achieves the best performance.",
keywords = "Social Network, Twitter, home location, labeled relationship, social tie, tie strength",
author = "Jinpeng Chen and Yu Liu and Ming Zou",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Computers, Communications and IT Applications Conference, ComComAp 2014 ; Conference date: 20-10-2014 Through 22-10-2014",
year = "2014",
month = jan,
day = "20",
doi = "10.1109/ComComAp.2014.7017172",
language = "英语",
series = "Proceedings - 2014 IEEE Computers, Communications and IT Applications Conference, ComComAp 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "67--71",
editor = "Zhangbing Zhou and Jianwei Niu and Lei Shu",
booktitle = "Proceedings - 2014 IEEE Computers, Communications and IT Applications Conference, ComComAp 2014",
address = "美国",
}