TY - GEN
T1 - Social lens
T2 - 33rd IEEE International Conference on Data Engineering, ICDE 2017
AU - Cai, Hongyun
AU - Zheng, Vincent W.
AU - Chen, Penghe
AU - Zhu, Fanwei
AU - Chang, Kevin Chen Chuan
AU - Huang, Zi
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/16
Y1 - 2017/5/16
N2 - Community analysis is an important task in graph mining. Most of the existing community studies are community detection, which aim to find the community membership for each user based on the user friendship links. However, membership alone, without a complete profile of what a community is and how it interacts with other communities, has limited applications. This motivates us to consider systematically profiling the communities and thereby developing useful community-level applications. In this paper, we introduce a novel concept of community profiling, upon which we build a SocialLens system1 to enable searching and browsing communities by content and interaction. We deploy SocialLens on two social graphs: Twitter and DBLP. We demonstrate two useful applications of SocialLens, including interactive community visualization and profile-Aware community ranking.
AB - Community analysis is an important task in graph mining. Most of the existing community studies are community detection, which aim to find the community membership for each user based on the user friendship links. However, membership alone, without a complete profile of what a community is and how it interacts with other communities, has limited applications. This motivates us to consider systematically profiling the communities and thereby developing useful community-level applications. In this paper, we introduce a novel concept of community profiling, upon which we build a SocialLens system1 to enable searching and browsing communities by content and interaction. We deploy SocialLens on two social graphs: Twitter and DBLP. We demonstrate two useful applications of SocialLens, including interactive community visualization and profile-Aware community ranking.
UR - http://www.scopus.com/inward/record.url?scp=85021241579&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85021241579&partnerID=8YFLogxK
U2 - 10.1109/ICDE.2017.194
DO - 10.1109/ICDE.2017.194
M3 - Conference contribution
AN - SCOPUS:85021241579
T3 - Proceedings - International Conference on Data Engineering
SP - 1397
EP - 1398
BT - Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017
PB - IEEE Computer Society
Y2 - 19 April 2017 through 22 April 2017
ER -