Network Modeling (Winter 2017/2018)
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Social network analysis, i.e., the joint analysis of actors and relations among them, rapidly gains importance in many scientific and commercial applications. Examples range from studies of organizational and communication networks over to the analysis of Web-based user interaction. Statistical approaches in social network analysis are applied to model, estimate, and predict social interaction and behavior based on empirical data. In this course you will learn methodological foundations for modeling social networks. The course will have two parts, an application-centered part in which we are illustratively analyzing data from collaboration on Wikipedia and a method-centered part which discusses network models and related methods. Prerequisites Good knowledge of basic mathematical concepts, as well as strong mathematical soft skills, i.e., the ability to understand and work with mathematical definitions, theorems, and proofs. |
Schedule
| Lecture (Jürgen Lerner) | Tue 13:30-15:00 in L 602 |
| Tutorial | Tue 10:00-11:30 in D 432 |
| Exams (oral) in PZ 1006 | Feb 13, 10:00-11:30, 13:30-16:45, Apr 10, 10:00-11:30, 13:30-16:45, or by individual appointment |
Exercises
Most documents are only locally accessible - see possibilities for remote access.Please submit your solutions by email to juergen.lerner@uni-konstanz.de
| no. | online | due | tutorial | download |
|---|---|---|---|---|
| 1 | 24.10.2017 | 12.11.2017 | 14.11.2017 | Sheet 1 |
| 2 | 13.11.2017 | 19.11.2017 | 21.11.2017 | Sheet 2 |
| 3 | 21.11.2017 | 26.11.2017 | 28.11.2017 | Sheet 3 |
| 4 | 28.11.2017 | 03.12.2017 | 05.12.2017 | Sheet 4 |
| 5 | 05.12.2017 | 10.12.2017 | 12.12.2017 | Sheet 5 |
| 6 | 12.12.2017 | 17.12.2017 | 19.12.2017 | Sheet 6 |
| 7 | 19.12.2017 | 07.01.2018 | 09.01.2018 | Sheet 7 |
| 8 | 07.01.2018 | 21.01.2018 | 23.01.2018 | Sheet 8 |
| 9 | 21.01.2018 | 28.01.2018 | 30.01.2018 | Sheet 9 |
| 10 | 28.01.2018 | 04.02.2018 | 06.02.2018 | Sheet 10 |
Material
Most documents are only locally accessible - see possibilities for remote access.Slides
- Network Models (Application: Wikipedia) last updated: 14 January 2018.
- Network Models last updated: 05 February 2018.
Data
Software
Literature
Lecture topics
- Batagelj, Brandes: Efficient Generation of Large Random Networks. Physical Review E 71, 036113, 2005.
- Lusher, Koskinen, and Robins: Exponential Random Graph Models for Social Networks. Cambridge Univ. Press, 2013.
- Robins, Pattison, Kalish, and Lusher: An introduction to exponential random graph (p*) models for social networks. Social Networks 29(2):173-191, 2007. (local copy)
- Hunter and Handcock: Inference in Curved Exponential Family Models for Networks. Journal of Computational and Graphical Statistics 15(3):565-583, 2006. (local copy)
- Hunter: Curved exponential family models for social networks. Social Networks 29(2):216-230, 2007. (local copy)
- Morris, Handcock, and Hunter: Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects. Journal of Statistical Software 24(4), 2008. (local copy)
- Hanneke, Fu, and Xing: Discrete temporal models of social networks. Electronic Journal of Statistics 4:585-605, 2010. (local copy)
- Krivitsky and Handcock: A separable model for dynamic networks. Journal of the Royal Statistical Society: Series B 76(1):29-46, 2014. (local copy)
Wikipedia research
- Arazy et al. (2011). Information quality in Wikipedia: The effects of group composition and task conflict. Journal of Management Information Systems 27(4): 71-98.
- Ransbotham and Kane (2011). Membership turnover and collaboration success in online communities: Explaining rises and falls from grace in Wikipedia. MIS Quarterly 35(3): 613-627.
- Stvilia et al. (2008). Information quality work organization in Wikipedia. Journal of the Association for Information Science and Technology 59(6): 983-1001.
- Burke and Kraut (2008). Mopping up: modeling wikipedia promotion decisions. Proc. 2008 ACM conf. Computer supported cooperative work, pages 27-36.
- Leskovec, Huttenlocher, and Kleinberg (2010). Governance in social media: A case study of the Wikipedia promotion process. Proc. Intl. Conf. Weblogs and Social Media, pages 98-105.
- Leskovec, Huttenlocher, and Kleinberg (2010). Signed networks in social media. Proc. SIGCHI conf. human factors in computing systems, pages 1361-1370.
- Adler and De Alfaro (2007). A content-driven reputation system for the Wikipedia. Proc 16th intl. conf. World Wide Web (WWW 2007), pages 261-270.
- Flöck and Acosta (2014). WikiWho: Precise and efficient attribution of authorship of revisioned content. Proc 23rd intl. conf. World Wide Web (WWW 2014).
- Keegan, Gergle, and Contractor (2012). Do editors or articles drive collaboration? Multilevel statistical network analysis of Wikipedia coauthorship. Proc. ACM 2012 conf. computer supported cooperative work, pages 427-436.
- Romero, Huttenlocher, and Kleinberg (2015). Coordination and Efficiency in Decentralized Collaboration. Preprint arXiv:1503.07431.
Background and further reading
- Lazer, Pentland, Adamic, Aral, Barabási, Brewer, Christakis, Contractor, Fowler, Gutmann, Jebara, King, Macy, Roy, Van Alstyne: Computational Social Science. Science 323(5915), 721-723, 2009.
- Marina Hennig, Ulrik Brandes, Jürgen Pfeffer and Ines Mergel: Studying Social Networks. Campus-Verlag, 2012.
- Brandes, Erlebach (Eds.): Network Analysis. LNCS 3418, Springer, 2005.
- Wasserman, Faust: Social Network Analysis. Cambridge Univ. Press, 1994.
- Breiman (2001). Statistical modeling: The two cultures. Statistical Science 16(3): 199-231. (With comments.)
- Bromham, Dinnage, and Hua (2016). Interdisciplinary research has consistently lower funding success. Nature 534(7609):684-687.