@inproceedings{79aad4ce3c74486ba5107bda83c3808b,
title = "Capture friendship characteristics in dynamic social networks",
abstract = "In recent years, considerable attention has been paid to the research in social network, since many potential social phenomena can be extracted by analyzing the social structure. Nevertheless, the social network usually changes over time. How to capture the patterns in dynamic social network is a challenge issue. In this paper, we introduce a novel method to capture the friendship characteristics in a dynamic social network. We also utilize some pruning strategies to efficiently reduce the search space. The experimental results show the efficiency of proposed approach for extracting the characteristic, and possess graceful scalability.",
keywords = "dynamic social network, friendship characteristic, social network analysis",
author = "Chen, {Yi Cheng} and Chiang, {Bing Yang} and Hung, {Hsiu Chieh} and Peng, {Sheng Yuan} and Gao, {Yu Jia}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 3rd International Conference on Orange Technologies, ICOT 2015 ; Conference date: 19-12-2015 Through 22-12-2015",
year = "2016",
month = jun,
day = "22",
doi = "10.1109/ICOT.2015.7498503",
language = "???core.languages.en_GB???",
series = "Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "46--49",
booktitle = "Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015",
}