@inproceedings{33d984143e914db5bb4d5a31a792ed72,
title = "Personalized influential topic search via social network summarization (Extended abstract)",
abstract = "Social networks have become a vital mechanism to disseminate information to friends and colleagues. But the dynamic nature of information and user connectivity within these networks raised many new and challenging research problems. One of them is the query-related topic search in social networks. In this work, we investigate the important problem of the personalized influential topic search. There are two challenging questions that need to be answered: how to extract the social summarization of the social network so as to measure the topics' influence at the similar granularity scale? and how to apply the social summarization to the problem of personalized influential topic search. Based on the evaluation using real-world datasets, our proposed algorithms are proved to efficient and effective.",
author = "Jianxin Li and Yi Chen and Chengfei Liu and Timos Sellis and Yu, {Jeffrey Xu} and Culpepper, {J. Shane}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 33rd IEEE International Conference on Data Engineering, ICDE 2017 ; Conference date: 19-04-2017 Through 22-04-2017",
year = "2017",
month = may,
day = "16",
doi = "10.1109/ICDE.2017.15",
language = "English (US)",
series = "Proceedings - International Conference on Data Engineering",
publisher = "IEEE Computer Society",
pages = "17--18",
booktitle = "Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017",
address = "United States",
}