Sociograph Representations, Concepts, Data, and Analysis
- A graph
Is usually used to represent networks and consist of nodes to represent actors, and edges to represent relationship.
- A network
A structure that consists of a set of actors.
- Social network data
Data available on online social networks.
- Sociograph analysis
Graph-based analysis of social networks, their concepts, and their data.
With the proliferation of online social networks, information sharing on these networks is gaining an ever-increasing importance. Obviously, online social networks have found ingenious ways to collect data as users socialize. Not surprisingly, when socializing users communicate, interact, and tend to freely reveal personal information in line with their perceptions and preferences. Understanding the characteristics of social networks is of considerable importance. Namely the structure of the...
- Bachi G, Coscia M, Monreale A, Giannotti F (2012) Classifying trust/distrust relationships in online social networks. In: Privacy, security, risk and trust (PASSAT), 2012 international conference on and 2012 international conference on social computing (SocialCom), Amsterdam, pp 552–557Google Scholar
- Carminati B, Ferrari E, Perego A (2009) Enforcing access control in web-based social networks. ACM Trans Inf Syst Secur 13(1):1–38Google Scholar
- Cranshaw J, Toch E, Hong J, Kittur A, Sadeh N (2010) Bridging the gap between physical location and online social networks. In: UbiComp’10 – Proceedings of the 2010 ACM conference on ubiquitous computing. ACM, New York, pp 119–128Google Scholar
- Gilbert E (2012) Predicting tie strength in a new medium. In: Proceedings of the ACM 2012 conference on computer supported cooperative work, CSCW’12. ACM, New York, pp 1047–1056Google Scholar
- Koschtzki D, Lehmann K, Peeters L, Richter S, Tenfelde-Podehl D, Zlotowski O (2005) Centrality indices. In: Brandes U Erlebach T (eds) Network analysis. Lecture notes in computer science, 3418. Springer, Berlin/Heidelberg, pp 16–61Google Scholar
- McAuley J, Leskovec J (2012) Learning to discover social circles in ego networks. Adv Neural Inf Proces Syst 25:548–556Google Scholar
- Raad E, Chbeir R, Dipanda A (2010) User profile matching in social networks. In: Proceedings – 13th international conference on network-based information systems, NBiS 2010, Takayama, pp 297–304Google Scholar
- Schneider F, Feldmann A, Krishnamurthy B, Willinger W (2009) Understanding online social network usage from a network perspective. In: Proceedings of the 9th ACM SIGCOMM conference on internet measurement conference, IMC’09, Chicago. ACM, New York, pp 35–48Google Scholar
- Tang L, Liu H (2009) Scalable learning of collective behavior based on sparse social dimensions. In: Proceedings of the 18th ACM conference on information and knowledge management, CIKM’09. ACM, New York, pp 1107–1116Google Scholar
- Xiang R, Neville J, Rogati M (2010) Modeling relationship strength in online social networks. In: Proceedings of the 19th international conference on World wide web, WWW’10. ACM, New York, pp 981–990Google Scholar
- Zhang T, Chao H, Tretter D (2011) Dynamic estimation of family relations from photos. In: Lee K-T, Tsai W-H, Liao H-Y, Chen T, Hsieh J-W, Tseng C-C (eds) Advances in multimedia modeling. Lecture notes in computer science, 6524. Springer, Berlin/Heidelberg, pp 65–76Google Scholar