Title

Messaging Behavior Modeling in Mobile Social Networks

Publication Type

Conference Proceeding Article

Publication Date

8-2010

Abstract

Mobile social networks are gaining popularity with the pervasive use of mobile phones and other handheld devices. In these networks, users maintain friendship links, exchange short messages and share content with one another. In this paper, we study the user behaviors in mobile messaging and friendship linking using the data collected from a large mobile social network service known as myGamma (m.mygamma.com). We distinguish two types of user behaviors: soliciting active responses for an initiated message and responding to an incoming message. We propose various models for the two behaviors also known as engagingness and responsiveness. Our experiments show that the two behaviors are quite distinct from each other although they may be correlated. We also show that engaging and responsive users enjoy more friendships. Finally, we show that the engaging and responsive users participate more in messaging about major topics.

Keywords

User behaviors, Mobile social networks, engagingness, responsiveness, LDA

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Management and Analytics

Publication

Symposium on Social Intelligence and Networking (SIN-10)

Volume

SIN-276

Issue

24

Identifier

10.1109/SocialCom.2010.68

Publisher

IEEE

City or Country

Minneapolis, USA

Additional URL

http://doi.ieeecomputersociety.org/10.1109/SocialCom.2010.68