TY - GEN
T1 - Characterizing the Evolution of Communities on Reddit
AU - Mensah, Humphrey
AU - Xiao, Lu
AU - Soundarajan, Sucheta
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/7/22
Y1 - 2020/7/22
N2 - One of the most important structures in social networks is communities. Communities in social networks evolve over time. Understanding the evolution of communities is useful in many applications, such as building successful communities, maintaining the success of communities, etc. There have been some works on studying online communities such as understanding the life cycle of users and understanding the loyalty of members in a community. An aspect of online community studies that has not been sufficiently studied is the evolution of communities over time. In this work, we investigate factors that significantly differentiate the different parts of the evolution of communities. Firstly, we identify the different patterns that can exist in the evolution of communities. Next, we examine how different features differentiate parts of the patterns identified. Experimental results showed that the linguistic style of users who make posts and the interaction dynamics of members in a community are related to different parts of communities' evolution with respect to the number of active users.
AB - One of the most important structures in social networks is communities. Communities in social networks evolve over time. Understanding the evolution of communities is useful in many applications, such as building successful communities, maintaining the success of communities, etc. There have been some works on studying online communities such as understanding the life cycle of users and understanding the loyalty of members in a community. An aspect of online community studies that has not been sufficiently studied is the evolution of communities over time. In this work, we investigate factors that significantly differentiate the different parts of the evolution of communities. Firstly, we identify the different patterns that can exist in the evolution of communities. Next, we examine how different features differentiate parts of the patterns identified. Experimental results showed that the linguistic style of users who make posts and the interaction dynamics of members in a community are related to different parts of communities' evolution with respect to the number of active users.
KW - communities
KW - evolution
UR - http://www.scopus.com/inward/record.url?scp=85088146704&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85088146704&partnerID=8YFLogxK
U2 - 10.1145/3400806.3400814
DO - 10.1145/3400806.3400814
M3 - Conference contribution
AN - SCOPUS:85088146704
T3 - ACM International Conference Proceeding Series
SP - 58
EP - 64
BT - 11th International Conference on Social Media and Society
A2 - Gruzd, Anatoliy
A2 - Mai, Philip
A2 - Recuero, Raquel
A2 - Hernandez-Garcia, Angel
A2 - Sian Lee, Chei
A2 - Cook, James
A2 - Hodson, Jaigris
A2 - McEwan, Bree
A2 - Hopke, Jill
PB - Association for Computing Machinery
T2 - 11th International Conference on Social Media and Society: Diverse Voices - Promises and Perils of Social Media for Diversity, SMSociety 2020
Y2 - 22 July 2020 through 24 July 2020
ER -