Statistical Network Analysis: Models, Issues, and New Directions

ICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA, June 29, 2006, Revised Selected Papers

  • Editors
  • Edoardo Airoldi
  • David M. Blei
  • Stephen E. Fienberg
  • Anna Goldenberg
  • Eric P. Xing
  • Alice X. Zheng

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4503)

Table of contents

  1. Front Matter
  2. Invited Presentations

    1. Aaron Clauset, Cristopher Moore, Mark E. J. Newman
      Pages 1-13
    2. David Krackhardt, Mark S. Handcock
      Pages 14-27
    3. Andrew McCallum, Xuerui Wang, Natasha Mohanty
      Pages 28-44
    4. Stanley Wasserman, Garry Robins, Douglas Steinley
      Pages 45-56
  3. Other Presentations

    1. Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing
      Pages 57-74
    2. Anna Goldenberg, Alice Zheng
      Pages 75-89
    3. Isobel Claire Gormley, Thomas Brendan Murphy
      Pages 90-102
    4. Steve Hanneke, Eric P. Xing
      Pages 115-125
    5. Purnamrita Sarkar, Sajid M. Siddiqi, Geoffrey J. Gordon
      Pages 126-139
    6. Cosma Rohilla Shalizi, Marcelo F. Camperi, Kristina Lisa Klinkner
      Pages 140-157
    7. Robert H. Warren, Dana Wilkinson, Mike Warnecke
      Pages 158-171
  4. Extended Abstracts

    1. Ian MacKinnon, Robert H. Warren
      Pages 176-178
    2. Galileo Mark S. Namata Jr., Lise Getoor, Christopher P. Diehl
      Pages 179-181
    3. Chao Wang, Srinivasan Parthasarathy
      Pages 182-185
  5. Panel Discussion

    1. David M. Blei
      Pages 186-194
  6. Back Matter

About these proceedings

Introduction

This volume was prepared to share with a larger audience the exciting ideas and work presented at an ICML 2006 workshop of the same title. Network models have a long history. Sociologists and statisticians made major advances in the 1970s and 1980s, culminating in part with a number of substantial databases and the class of exponential random graph models and related methods in the early 1990s. Physicists and computer scientists came to this domain cons- erably later, but they enriched the array of models and approaches and began to tackle much larger networks and more complex forms of data. Our goal in organ- ing the workshop was to encourage a dialog among people coming from di?erent disciplinary perspectives and with di?erent methods, models, and tools. Both the workshop and the editing of the proceedings was a truly colla- rative e?ort on behalf of all six editors, but three in particular deserve special recognition. Anna Goldenberg and Alice Zheng were the driving force behind the entire enterprise and Edo Airoldi assisted on a number of the more important arrangements.

Keywords

Online calculus distributed networks dynamical networks evolving networks genetic algorithms graph drawing machine learning modeling network analysis network computing network hierarchies network modeling organization self-organizing systems

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-73133-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-73132-0
  • Online ISBN 978-3-540-73133-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book