Abstract
This paper presents a comparison study to identify the communication patterns of people through different social connections. Advances in technology have brought many communication channels for people in daily life, like E-mail, blogs/micro-blog and mobile telecommunication etc. Now and in the future it is going to be critical that people use multiple channels of communication to reach others. The understanding of people’s choice of communication channels is becoming quite important. In this paper, we specifically selected two of the most significant channels as the objects for comparison. One is online social network, e.g., Twitter as representative of such networks, and another is mobile telecommunication. The corresponding social network is therefore constructed for each communication channel. Based on that, we conduct a series of investigation, including temporal analysis, geographical analysis and topological analysis. Generally, what we have found in this study is that people’s communication through different channels shows the differences in various aspects.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Banjo, O., Hu, Y., Sundar, S.S.: Cell Phone Usage and Social Interaction with Proximate Others: Ringing in a Theoretical Model. In: ICA (2006)
Benevenuto, F., Rodrigues, T., Cha, M., Almeida, V.: Characterizing user behavior in online social networks. In: Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference, IMC 2009, pp. 49–62. ACM, New York
Boyd, D., Golder, S., Lotan, G.: Tweet, tweet, retweet: Conversational aspects of retweeting on twitter. In: HICSS, pp. 1–10. IEEE Computer Society (2010)
Eagle, N., Pentland, A., Lazer, D.: Inferring Social Network Structure using Mobile Phone Data. PNAS (2007)
Guha, R.V., Kumar, R., Raghavan, P., Tomkins, A.: Propagation of trust and distrust. In: WWW, pp. 403–412 (2004)
Huberman, B.A., Romero, D.M., Wu, F.: Social networks that matter: Twitter under the microscope. First Monday 14(1) (2009)
Kamvar, M., Kellar, M., Patel, R., Xu, Y.: Computers and iphones and mobile phones, oh my!: a logs-based comparison of search users on different devices. In: Quemada, J., Len, G., Maarek, Y.S., Nejdl, W. (eds.) WWW, pp. 801–810. ACM (2009)
Karagiannis, T., Vojnovic, M.: Behavioral profiles for advanced email features. In: Quemada, J., Len, G., Maarek, Y.S., Nejdl, W. (eds.) WWW, pp. 711–720. ACM (2009)
Kwak, H., Lee, C., Park, H., Moon, S.B.: What is twitter, a social network or a news media? In: WWW, pp. 591–600 (2010)
Leskovec, J., Horvitz, E.: Planetary-scale views on a large instant-messaging network. In: WWW, pp. 915–924 (2008)
Li, N., Chen, G.: Analysis of a location-based social network. In: CSE (4), pp. 263–270. IEEE Computer Society (2009)
Miklas, A.G., Gollu, K.K., Chan, K.K.W., Saroiu, S., Gummadi, K.P., de Lara, E.: Exploiting Social Interactions in Mobile Systems. In: Krumm, J., Abowd, G.D., Seneviratne, A., Strang, T. (eds.) UbiComp 2007. LNCS, vol. 4717, pp. 409–428. Springer, Heidelberg (2007)
Onnela, J.P., Saramaki, J., Hyvonen, J., Szabo, G., Lazer, D., Kaski, K., Kertesz, J., Barabasi, A.L.: Structure and tie strengths in mobile communication networks. PNAS 104, 7332–7336 (2006)
Wang, Y., Cong, G., Song, G., Xie, K.: Community-based greedy algorithm for mining top-k influential nodes in mobile social networks. In: KDD, pp. 1039–1048 (2010)
Wu, S., Hofman, J.M., Mason, W.A., Watts, D.J.: Who says what to whom on twitter. In: Srinivasan, S., Ramamritham, K., Kumar, A., Ravindra, M.P., Bertino, E., Kumar, R. (eds.) WWW, pp. 705–714. ACM (2011)
Zhang, Y., Tang, J., Sun, J., Chen, Y., Rao, J.: Moodcast: Emotion prediction via dynamic continuous factor graph model. In: ICDM, pp. 1193–1198 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Cai, K., Zhao, Y., Tang, J., Zhang, L., Su, Z. (2014). How Do People Communicate through Different Social Connections?. In: Li, F., Li, G., Hwang, Sw., Yao, B., Zhang, Z. (eds) Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science, vol 8485. Springer, Cham. https://doi.org/10.1007/978-3-319-08010-9_79
Download citation
DOI: https://doi.org/10.1007/978-3-319-08010-9_79
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08009-3
Online ISBN: 978-3-319-08010-9
eBook Packages: Computer ScienceComputer Science (R0)