Nov 7-8, 2013: DIMACS Workshop on Statistical Analysis of Network Dynamics and Interactions

DIMACS Workshop on Statistical Analysis of Network Dynamics and Interactions

November 7 - 8, 2013
DIMACS Center, CoRE Building, Rutgers University

Workshop web site (including registration): http://dimacs.rutgers.edu/Workshops/DynamicNetwork/

Organizers:

  • Edo Airoldi, Harvard University
  • Andrea Collevecchio, University Ca' Foscari- Venice and Monash University
  • Xiaodong Lin, Rutgers University, lin at business.rutgers.edu

Presented under the auspices of the DIMACS Special Focus on Information Sharing and Dynamic Data Analysis.

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Workshop Announcement:

The analysis and modeling of large and complex real-world networks has become indispensable across the diverse set of social, technological, and natural worlds. While the field remains heterogeneous and diverse, we have seen emerging signs of convergence. There has been growing computer science and statistical literature expounding on topics of analyzing and visualizing time-varying networks, a subject popularized earlier within the physics community. Social media researchers are beginning to use problem-specific structure to infer between social influence, homophile, and external forces -- areas historically of intense interest amongst statisticians and social scientists. Highly complex application domains, such as brain and financial networks, are coming into the scope of the field.

The primary goal of the workshop is to actively promote a concerted effort to address theoretical, methodological and computational issues that arise when modeling and analyzing dynamic networks, stochastic processes on networks, and collection of interactions. To this end, we aim at bringing together researchers from applied disciplines such as sociology, economics, medicine and biology, together with researchers from more theoretical disciplines such as mathematics, statistics, physics and computer science. All these communities have a long-standing interest in modeling large scale networks, and we would like to foster cross-disciplinary collaborations and exchanges in order to identify directions that can provide theoretical and computational foundations to push forward this extremely important field.

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Call for Participation:

Talks are by invitation only. If you are interested in presenting a poster, please send an abstract to lin@business.rutgers.edu.

Attendance at the workshop is open to all interested participants (subject to space limitations). Please register if you would like to attend this workshop.

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Workshop Program: (Program is subject to change)

Thursday, November 7, 2013

  • 8:30 -  9:00  Breakfast and Registration
  • 9:00 -  9:10  Welcome
  • 9:10 -  9:45  Change Point Inference for Time-varying Erdos-Renyi Graphs
      • George Michailidis, University of Michigan
  • 9:45 - 10:20  Local and Non-local Preferential Attachment Models
      • Shankar Bhamidi, UNC Chapel Hill
  • 10:20 - 10:40  Break
  • 10:40 - 11:15  Characterizing Individual Behavior from Interaction History
      • Patrick Perry, NYU
  • 11:15 - 11:50  Estimation of Exponential Random Graph Models for Large Social Networks via Graph Limits
      • Tian Zheng, Columbia University
  • 11:50 -  1:20  Lunch
  • 1:20 -  1:30  Director's Welcome
      • Rebecca Wright, Director of DIMACS
  • 1:30 -  2:05  Graph Models and Scalable Analytics
      • Spiros Papadimitriou, Rutgers University
  • 2:05 -  2:40  The Dynamics of Dissemination on Graphs: Theory and Algorithms
      • Hanghang Tong, CUNY
  • 2:40 -  3:00  Break
  • 3:00 -  3:35  Jonathan Chang, Facebook: TBD
  • 3:35 -  4:10  Real Time Processing of Graphical Models in Education
      • George Davis, Knewton
  • 4:30            Dinner at DIMACS

Friday, November 8, 2013

  • 8:30 -  9:00  Breakfast and Registration
  • 9:00 - 10:00  Jun Liu, Harvard University: TBD
  • 10:00 - 10:20  Break
  • 10:20 - 10:55  Nonparametric Graph Estimation
      • Han Liu, Princeton University
  • 10:55 - 11:30  Contrasted Penalized Integrative Analysis
      • Shuangge Ma, Yale University
  • 11:30 -  1:00  Lunch
  • 1:00 -  2:00  Dynamics and Large-Scale  Structure in Networks
      • Mark Newman, University of Michigan
  • 2:00 -  2:20  Break
  • 2:20 -  2:55  Generalized Preferential Attachment Models
      • Andrea Collevecchio, University Ca' Foscari- Venice and Monash
  • 2:55 -  3:30  Connection Times in Large Ad-hoc Mobile Networks
      • Garbirel Faraud, WIAS Berlin
  • Adjourn