Social Network Analysis and Computational Social Science

We invite research contributions for the 26th World Wide Web Conference Social Network Analysis and Computational Social Science Track.

We invite original submissions addressing all aspects of computational social science, social networks and graph analysis. Social networks and social media have lowered the barrier to produce and consume online information by enabling new links between people, objects, information, and services. Data now collected about our online and offline actions — from what we say, to where we go, to whom we interact with — has created an unprecedented opportunity to address both new and longstanding questions in sociology, political science, economics, psychology, and beyond.

We encourage submissions in all areas of social network analysis and computational social science, broadly taken to mean work that integrates ideas from computer science and the social sciences. This track explicitly includes analysis of social networks and social media to better understand how these systems work and how people use them, as well as designing and developing theories, algorithms, and techniques to make these systems more effective.

Example topics of interest include, but are not limited to:

  • Analysis of online data for social science applications
  • Algorithmic fairness and bias correction
  • Algorithms for graph reconstruction and network inference
  • Algorithms for graph streams
  • Analysis of heterogeneous, signed, and labelled networks
  • Centrality and ranking in social networks
  • Graph partitioning and community discovery
  • Ethical issues in data analysis
  • Influence propagation and information diffusion
  • Link prediction
  • Location-aware social networks and mobility
  • New models and algorithms for social network analysis
  • Privacy-preserving mining of social networks
  • Representation and compression of graphs and social networks
  • Sampling and evaluation issues in graph algorithms
  • Social media analysis
  • Social mining, social search, and social recommendation systems
  • Social reputation and trust management
  • Spectral graph analysis
  • Temporal evolution and dynamics of online social networks
  • Theoretical analysis of graph algorithms and models for social networks

Track Chairs

Contact: social-networks-www-2017@googlegroups.com

  • Lada Adamic (Facebook)
  • Sharad Goel (Stanford)
  • Qiaozhu Mei (U Michigan)

Senior Track Chairs

Edo Airoldi Harvard University
Ceren Budak University of Michigan School of Information
Aaron Clauset University of Colorado Boulder
Daniel Goldstein Microsoft Research
Jake Hofman Microsoft Research
David Liben-Nowell Carleton College
Mohammad Mahdian Google
Yelena Mejova Qatar Computing Research Institute
Aneesh Sharma Twitter Inc
Johan Ugander Microsoft Research
Georgios Zervas Boston University School of Management

Program Committee

Rediet Abebe Cornell University
Yong-Yeol Ahn Indiana University Bloomington
Luca Maria Aiello Bell Labs
Deepak Ajwani Bell Labs Ireland
Ashton Anderson Microsoft Research
David Arbour University of Massachusetts Amherst
Andrea Baronchelli City University London
Luca Becchetti University of Rome "La Sapienza"
Fabricio Benevenuto Federal University of Minas Gerais (UFMG)
Michele Berlingerio IBM Research
Alex Beutel Carnegie Mellon University
Jeremy Blackburn Telefonica Research
Petko Bogdanov University at albany SUNY
Francesco Bonchi The ISI Foundation, Turin, Italy
Guido Caldarelli Centre SMC CNR-INFM, Dep. Physics University “Sapienza” and Linkalab
James Caverlee Texas A&M University
Meeyoung Cha KAIST & Facebook
Yang Chen University of Florida
Wei Chen Microsoft Research Asia
Justin Cheng Stanford University
Junghoo Cho UCLA
Gao Cong Nanyang Technological University
James Cook University of Maine at Augusta
Alfredo Cuzzocrea University of Trieste
Yafei Dai Peking University
Gianmarco De Francisci Morales Qatar Computing Research Institute
Yuxiao Dong University of Notre Dame
Nan Du Google Research
Alessandro Epasto Google inc
Michalis Faloutsos UCR
Damien Fay Bournemouth University
Emilio Ferrara University of Southern California, Information Sciences Institute
Pierre Fraigniaud CNRS and University Paris Diderot
Sabrina Gaito Università degli Studi di Milano
Aram Galstyan USC/ISI
Iftah Gamzu Yahoo! Research
Lixin Gao University of Massachusetts, Amherst
Aristides Gionis Aalto University
David Gleich Purdue University
Bruno Gonçalves New York University
Amit Goyal Yahoo Labs
Roger Guimera ICREA and Universitat Rovira i Virgili
Francesco Gullo UniCredit R&D
Krishna Gummadi MPI-SWS
Stephan Günnemann Technical University of Munich
Jinyoung Han UC Davis
Brent Hecht
Xin Huang University of British Columbia
Michal Jacovi IBM Haifa Research Lab
Panos Kalnis King Abdullah University of Science and Technology
Krishnaram Kenthapadi
Arijit Khan NTU
Ioannis Koutis University of Puerto Rico-Rio Piedras
Danai Koutra University of Michigan, Ann Arbor
Ponnurangam Kumaraguru IIITD
Himabindu Lakkaraju Stanford University
Renaud Lambiotte University of Namur
Theodoros Lappas Stevens Institute of Technology
Daniel Larremore Santa Fe Institute
Matthieu Latapy CNRS
Silvio Lattanzi Google
Yu-Ru Lin University of Pittsburgh
Nelly Litvak University of Twente
Madhav Marathe Virgnia BioInformatics Institute and Dept. of Computer Science
Winter Mason Facebook
Michael Mathioudakis Helsinki Institute for Information Technology
Julian Mcauley UC San Diego
Vahab Mirrokni Google Research
Alan Mislove Northeastern University
Misael Mongiovì Consiglio nazionale delle ricerche
Sebastian Moreno Purdue University
Anastasios Noulas University of Cambridge
Alessandro Panconesi Sapienza University of Rome
Rina Panigrahy Microsoft Research
Leto Peel Universite catholique de Louvain
Ali Pinar Sandia National Laboratories
B. Aditya Prakash Virginia Tech
Filippo Radicchi Northwestern University
Iyad Rahwan Massachusetts Institute of Technology
Bruno Ribeiro Purdue University
Matteo Riondato Two Sigma Investments, LP
Karl Rohe UW Madison
Daniel Romero University of Michigan
Iraj Saniee Bell Labs, Alcatel-Lucent
Grant Schoenebeck University of Michigan
Cosma Shalizi Statistics Department, Carnegie Mellon University
Amit Sharma Cornell University
Ambuj Singh University of California, Santa Barbara
Mauro Sozio Télécom ParisTech
Michael Szell Northeastern University
Chenhao Tan Cornell University
Nikolaj Tatti Aalto University
Evimaria Terzi Boston University
Hanghang Tong City College, CUNY
Panayiotis Tsaparas University of Ioannina
Charalampos Tsourakakis Harvard University
Antti Ukkonen Finnish Institute of Occupational Health
Sebastiano Vigna Universita' degli Studi di Milano
Dashun Wang College of Information Sciences and Technology, Penn State University
Samuel Way University of Colorado Boulder
Tim Weninger University of Notre Dame
Robert West Stanford University
Kevin Xu University of Toledo
Jaewon Yang Stanford University

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