Social Networks and Graph Analysis

We invite original research submissions addressing all the aspects of social networks and graph analysis. Relevant topics include, but are not restricted to, the ones below.

  • Analysis and modeling of graph structures and social systems
  • Centrality and ranking in social networks
  • Community discovery and link prediction
  • Location-aware social systems and mobility
  • New models and algorithms for social network analysis
  • Network inference
  • Privacy-preserving mining of social systems
  • Representation and compression of social networks
  • Sampling and evaluation issues in graph algorithms
  • Social mining, social search, and social recommendation systems
  • Social reputation and trust management
  • Temporal evolution and dynamics of online social systems
  • Theoretical analysis of graph algorithms or models

If your study is about social media but the core elements of your contribution are not graph algorithms or graph analysis, please also check the call for papers of the crowdsourcing and social media track.

For questions related to this call, please email: research-socialnets@www2015.it

Area Chairs

  • Alan Mislove, Northeastern University)
  • Evimaria Terzi, Boston University
  • Sebastiano Vigna, Università degli Studi di Milano

Program Committee

  • Bruno Abrahao, Cornell University
  • Yong-Yeol Ahn, Indiana University Bloomington
  • Luca Maria Aiello, Yahoo Labs
  • Leman Akoglu, Stony Brook University
  • Aris Anagnostopoulos, Sapienza University of Rome
  • Luca Becchetti, University of Rome “La Sapienza”
  • Fabricio Benevenuto, Federal University of Minas Gerais
  • Paolo Boldi, Università degli Studi di Milano
  • Francesco Bonchi, Yahoo! Research
  • Ceren Budak, UCSB
  • James Caverlee, Texas A&M University
  • Yang Chen, Duke University
  • Wei Chen, Microsoft Research Asia
  • Hong Cheng, The Chinese University of Hong Kong
  • Aaron Clauset, University of Colorado Boulder
  • Gao Cong, Nanyang Technological University
  • Yafei Dai, Peking University
  • Atish Das Sarma, eBay Research Labs
  • Anirban Dasgupta, Purdue University
  • Emilio Ferrara, Indiana University Bloomington
  • Pierre Fraigniaud, CNRS and University of Paris 7
  • Sabrina Gaito, Università degli Studi di Milano
  • Aristides Gionis, Aalto University
  • Bruno Gonçalves, Aix-Marseille Université
  • Amit Goyal, University of Maryland
  • Stephan Günnemann, Carnegie Mellon University
  • Jake Hofman, Microsoft Research
  • Panos Kalnis, King Abdullah University of Science and Technology
  • Ioannis Koutis, University of Puerto Rico-Rio Piedras
  • Ponnurangam Kumaraguru, IIITD
  • Haewoon Kwak, QCRI
  • Theodoros Lappas, Stevens Institute of Technology
  • Matthieu Latapy, CNRS
  • Silvio Lattanzi, Google
  • Kristina Lerman, University of Southern California
  • David Liben-Nowell, Carleton College
  • Yu-Ru Lin, University of Pittsburgh
  • Nelly Litvak, University of Twente
  • Mohammad Mahdian, Google
  • Michael Mahoney, Stanford University
  • Madhav Marathe, Virginia Tech
  • Vahab Mirrokni, Google Research
  • Alan Mislove, Northeastern University
  • Sebastian Moreno, Purdue University
  • Mirco Musolesi, University of Birmingham
  • Alice Oh, KAIST
  • Ali Pinar, Sandia National Laboratories
  • Derek Ruths, McGill University
  • Alessandra Sala, Alcatel-Lucent Bell Labs
  • Grant Schoenebeck, University of Michigan
  • Aneesh Sharma, Twitter
  • Mauro Sozio, Télécom ParisTech
  • Nikolaj Tatti, Aalto University
  • Evimaria Terzi, Boston University
  • Panayiotis Tsaparas, University of Ioannina
  • Charalampos Tsourakakis, Carnegie Mellon University
  • Johan Ugander, Cornell University
  • Antti Ukkonen, Helsinki Institute for Information Technology
  • Sebastiano Vigna, University of Milan
  • Sarita Yardi Schoenebeck, University of Michigan
  • Georgios Zervas, Boston University School of Management
  • Ben Zhao, UC Santa Barbara
  • Heather Zheng, UC Santa Barbara