Computer Laboratory

Course pages 2016–17

Social and Technological Network Data Analytics

Lecture Material

Lecture 1 (19/1/17): Networks and Random Graphs

Lecture 2 (24/1/17): Small World and Weak Ties

Lecture 3 (26/1/17): Network Centrality and Applications

Lecture 4 (31/1/17): Community Detection and Overlapping Communities

Lecture 5 (2/2/17): Structure of the Web, Search and Power Laws

Lecture 6 (7/2/17): Network Robustness and Applications

Lectures 7 and 8 (9/2/17): Tutorial

Lecture 9 (14/2/17): Cascades and Behaviour Influence

Lecture 10 (16/2/17): Epidemic Spreading

Week break: 20/2/17-25/2/17

Lecture 11 (28/2/17): Influence and Epidemic Spreading Applications

Lecture 12 (2/3/17): Spatial Networks

Lecture 13 (7/3/17): Temporal Networks

Lecture 14 (9/3/17): External Seminar

Lectures 15-16 (14/3/17): Student Presentations

Readling List

D. Easley, J. Kleinberg. Networks, Crowds, and Markets: Reasoning About a Highly Connected World. Cambridge University Press, 2010.

M. Newmann. Networks. Oxford University Press. April 2010.

A. Barabasi. Network Science. Cambridge University Press. 2016.

Additional Readings per Lecture

Lecture 1

R. Albert, A. Barabasi. Statistical Mechanics of Complex Networks. Reviews of Modern Physics (74). Jan. 2002.

S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, D.-U. Hwang. Complex Networks: Structure and Dynamics, Physics Reports 424 (2006) 175

P. Sheridan Dodds, R. Muhamad, and D. J. Watts. An Experimental Study of Search in Global Social Networks. Science 8 August 2003: 301 (5634), 827-829.

J. Ugander, B. Karrer, L. Backstrom, C. Marlow.The Anatomy of the Facebook Social Graph,

L. Backstrom, P. Boldi, M. Rosa, J. Ugander, S. Vigna. Four Degrees of Separation,

Lecture 2

D.J. Watts, S. Strogatz, (1998). Collective dynamics of small-world networks. Nature 393 (6684): 40910.

J. P. Onnela, J. Saramaki, J. Hyvonen, G. Szabo, D. Lazer, K. Kaski, J. Kertesz, A.L. Barabasi. Structure and tie strengths in mobile communication networks. Proceedings of the National Academy of Sciences, Vol. 104, No. 18. (13 Oct 2006), pp. 7332-7336.

C. Marlow, L. Byron, T. Lento, and I. Rosenn. Maintained relationships on facebook. 2009. On-line at relationships-on-facebook.

Eytan Bakshy, Itamar Rosenn, Cameron Marlow, and Lada Adamic. The role of social networks in information diffusion. 2012. In Proceedings of the 21st international conference on World Wide Web (WWW '12). ACM, New York, NY, USA, 519-528. .

B. A. Huberman, D. M. Romero, and F. Wu. Social networks that matter: Twitter under the microscope. First Monday, 14(1), January 2009.

Lecture 3

D. A. Shamma, L. Kennedy, and Elizabeth F. Churchill. 2009. Tweet the debates: understanding community annotation of uncollected sources. In Proceedings of the first SIGCOMM workshop on Social media (WSM '09). ACM, New York, NY, USA.

Lecture 4

M. Girvan and M. E. J. Newman. Community structure in social and biological networks. Proc. Natl. Acad. Sci. USA, 99(12):78217826, June 2002.

S. Fortunato. Community detection in graphs, Arxiv 2009.

M.E.J. Newman, M. Girvan. Finding and evaluating community structure in networks. Phys. Rev. E 69, 026113, 2004.

A. Clauset, M.E.J. Newman, C. Moore. Finding community structure in very large networks. Phys. Rev. E 70, 066111, 2004.

Vincent D Blondel, Jean-Loup Guillaume, Renaud Lambiotte, Etienne Lefebvre. Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment 2008 (10).

G. Palla, I. Derenyi, I. Farkas, and T. Vicsek. Uncovering the overlapping community structure of complex networks in nature and society. Nature.  435, 814-818 (2005).

A. Lancichinetti, F. Radicchi,3 J. Ramasco, S. Fortunato. Finding statistically significant communities in networks. PLOS One 2011; 6(4). (not discussed in class).

P. Grabowicz, J. Ramasco, E. Moro, J. Pujol, V.. Eguiluz. Social features of online networks: the strength of weak ties in online social media. arXiv:1107.4009. July 2011.

Lecture 5

A. Broder, R. Kumar, F. Maghoul, P. Raghavan, S. Rajagopalan, R. Stata, A. Tomkins, and J. Wiener. Graph structure in the Web. In Proc. 9th International World Wide Web Conference, pages 309-320,2000.

A. Clauset, C. R. Shalizi and M. E. J. Newman, 2009. Power-law distributions in empirical data. SIAM Review Vol. 51, No. 4. (2 Feb 2009), 661.

A. Barabasi and R. Albert, ”Emergence of scaling in random networks”, Science, 286:509-512, October 15, 1999.

M. Salganik, P. Dodds, and D. Watts. Experimental study of inequality and unpredictability in an artificial cultural market. Science, 311:854-856, 2006.

Lecture 6

R. Albert, H. Jeong, A.-L. Barabasi. Error and attack tolerance of complex networks. Nature 406, 378-482 (2000).

Cohen et al., Phys. Rev. Lett. 85, 4626 (2000)

D. S. Callaway, M. E. J. Newman, S. H. Strogatz, and D. J. Watts, Network robustness and fragility: Percolation on random graphs, Phys. Rev. Lett., 85 (2000), pp. 54685471.

C. Schneider, A. Moreira, J. S. Andrade, Jr., S. Havlin, and H. J. Herrmann. Mitigation of malicious attacks on networks. PNAS 2011 108 (10) 3838-3841.

Lecture 9

D. Centola. The Spread of Behavior in an Online Social Network Experiment. Science 329, 1194 (2010).

S. Gonzalez Bailon, J. Borge-Holthoefer, A. Rivero and Y. Moreno. The Dynamics of Protest Recruitment through an Online Network. Nature Scientific Reports, 1, 197 (2011).

Lecture 10

Pastor-Satorras, R. and Vespignani, A. Epidemic Spreading in Scale-Free Networks. Phys. Rev. Lett.(86), n.14. Pages = 3200--3203. 2001.

Pastor-Satorras, R. and Vespignani, A. Immunization of Complex Networks. Physical Review E 65. 2002.

Marcelo Kuperman and Guillermo Abramson. Small world effect in an epidemiological model. Physical Review Letters, 86(13):2909–2912, March 2001.

V. Colizza, A. Barrat, M. Barthélemy and A. Vespignani. Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study. BMC Medicine 2007, 5:34.

Antonio Lima, Manlio De Domenico, Veljko Pejovic and Mirco Musolesi. Exploiting Cellular Data for Disease Containment and Information Dissemination Campaigns Strategies in Country-wide Epidemics. In Proceedings of NetMob’13. Boston, MA, USA. May 2013.

Marc Lipsitch, Lyn Finelli, Richard T. Heffernan, Gabriel M. Leung, and Stephen C. Redd. Improving the Evidence Base for Decision Making during a Pandemic: The Example of 2009 Influenza A/H1N1. In Biosecurity and Bioterrorism: Biodefense Strategy, Practice and Science. Volume 9, Number 2, 2011.

Matt J. Keeling and Pejman Rohani. Modeling Infectious Diseases in Humans and Animals. Princeton University Press. 2007.

Lecture 11

Meeyoung Cha, Alan Mislove, Ben Adams, and Krishna P. Gummadi. 2008. Characterizing social cascades in flickr. In Proceedings of the first workshop on Online social networks (WOSN '08). ACM, New York, NY, USA, 13-18.

D. Liben-Nowell and J. Kleinberg. Tracing information flow on a global scale using Internet chain-letter data.PNAS March 25, 2008 vol. 105 no. 12 pp. 4633-4638.

Lecture 12

A tale of many cities: universal patterns in human urban mobility A Noulas, S Scellato, R Lambiotte, M Pontil, C Mascolo PloS one 7 (5), e37027, 2012.

Socio-spatial properties of online location-based social networks S Scellato, A Noulas, R Lambiotte, C Mascolo Proceedings of ICWSM, 2011.

Spatial networks M Barthélemy - Physics Reports, 2011.

Geographic routing in social networks David Liben-Nowell, Jasmine Novak, Ravi Kumar, Prabhakar Raghavan, Andrew Tomkins Proceedings of the National Academy of Sciences of the United States of America, 2005.

Evolution of a location-based online social network: analysis and models M Allamanis, S Scellato, C Mascolo Proceedings of the 2012 ACM conference on Internet measurement conference, IMC 2012.

Network-based predictions of retail store commercial categories and optimal locations P Jensen Physical Review E 74 (3), 035101, 2006.

Geo-Spotting: Mining Online Location-based Services for Optimal Retail Store Placement D Karamshuk, A Noulas, S Scellato, V Nicosia, C Mascolo Proceedings of KDD, 2013.

Lecture 13

V. Nicosia, J. Tang, C. Mascolo, M. Musolesi, G. Russo and V. Latora. Graph Metrics for Temporal Networks. Book Chapter in Petter Home and Jari Saramaki (Editors). Temporal Networks. Springer. 2013.

J. Tang, I. Leontiadis, S. Scellato, V. Nicosia, C. Mascolo, M. Musolesi and V. Latora. Applications of Temporal Graph Metrics to Real-World Networks. Book Chapter in Petter Holme and Jari Saramaki (Editors). Temporal Networks. Springer. 2013.

J. Tang, S. Scellato, M. Musolesi, C. Mascolo and V. Latora. Small-world behavior in time-varying graph In Physical Review E. Vol. 81 (5), 055101. May 2010.

J. Tang, M. Musolesi, C. Mascolo, V. Latora, V. Nicosia. Analysing Information Flows and Key Mediators through Temporal Centrality Metrics. In Proc. of the 3rd Workshop on Social Network Systems (SNS 2010). Apr 2010.

J. Tang, M. Musolesi, C. Mascolo and V. Latora. Temporal Distance Metrics for Social Network Analysis. In Proc, of the 2nd ACM SIGCOMM Workshop on Online Social Networks (WOSN09). Aug 2009.

J. Tang, C. Mascolo, M. Musolesi, V. Latora. Exploiting Temporal Complex Network Metrics in Mobile Malware Containment. In Proc. of the IEEE 12th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM2011). Jun 2011.

V. Nicosia, J. Tang, M. Musolesi, G. Russo, C. Mascolo, V. Latora. Components in time-varying graphs. In AIP Chaos. Vol.22 Issue 2. 2012.