TY - GEN
T1 - Detection of temporal communities in mobile social networks
AU - Ruan, Mengni
AU - Zhou, Huan
AU - Li, Dawei
AU - Liu, Xuxun
AU - Deng, Qingyong
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - In recent years, community detection in Mobile Social Networks (MSNs) has attracted a lot of attentions from both academia and industry areas. The existing methods of community detection usually focus on static networks. However, MSNs in essence are dynamically intermittently connected networks with a time-varying topology. Therefore, this paper proposes a novel temporal community detection method based on nodes' temporal closeness. In order to evaluate the performance of the proposed method and study the evolution law of the temporal community, we conduct extensive simulations using two real mobility traces, the MIT Reality trace and the Infocom 06 trace. The results show that many temporal communities share similar members and appear at different times. Furthermore, we find the periodic appearance of temporal community.
AB - In recent years, community detection in Mobile Social Networks (MSNs) has attracted a lot of attentions from both academia and industry areas. The existing methods of community detection usually focus on static networks. However, MSNs in essence are dynamically intermittently connected networks with a time-varying topology. Therefore, this paper proposes a novel temporal community detection method based on nodes' temporal closeness. In order to evaluate the performance of the proposed method and study the evolution law of the temporal community, we conduct extensive simulations using two real mobility traces, the MIT Reality trace and the Infocom 06 trace. The results show that many temporal communities share similar members and appear at different times. Furthermore, we find the periodic appearance of temporal community.
KW - Community Similarity
KW - Mobile Social Networks
KW - Network Model
KW - Temporal Closeness
KW - Temporal Community Detection
UR - http://www.scopus.com/inward/record.url?scp=85091494186&partnerID=8YFLogxK
U2 - 10.1109/INFOCOMWKSHPS50562.2020.9162875
DO - 10.1109/INFOCOMWKSHPS50562.2020.9162875
M3 - 会议稿件
AN - SCOPUS:85091494186
T3 - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
SP - 1021
EP - 1026
BT - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
Y2 - 6 July 2020 through 9 July 2020
ER -