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The First ACM SIGMOD Workshop on Dynamic Networks Management and Mining (DyNetMM 2013), to be held in New York, USA in conjunction with SIGMOD/PODS 2013 on June 23, 2013, is a venue for novel research on management and mining in networks that change over time. The aim of DyNetMM is to disseminate results founded on database indexing, access methods and mining that advance the state-of-the-art in analysis, query processing, prediction and mining in time-evolving networks arising in social-computational systems, biology, transportation and others.

Both theoretical and systems/application papers are welcome to DyNetMM. The workshop's focus is on methods that draw from techniques in databases, indexing and data mining to enable scalable analysis, query support and mining for patterns in dynamic relational data. The validation and novelty of the submissions should match the high standards established in the database community.

We welcome submissions on the following general topics:
  • Query languages and indexing for dynamic networks 
  • Tracking and prediction
  • Mining dynamic networks
  • Network streams management
  • Summarization and compression
  • Generative and predictive models of dynamic network evolution
  • Distributed computation on dynamic graphs
For a detailed list of topics, the authors can refer to the Call for Papers

Workshop co-chairs
Program Committee
  • Amol Deshpande (U Maryland)
  • Ananthram Swami (Army Research Lab)
  • Arun Maiya (IDA)
  • Boleslaw K. Szymanski (RPI)
  • Hanghang Tong (IBM) 
  • Kathy Macropol ( Arcadia U)
  • Lance Kaplan (Army Research Lab)
  • Mayank Lahiri (Google)
  • Misael Mogiovi (UCSB)
  • Mohammed Zaki (RPI)
  • Prithwish Basu (BBN)
  • Rajmonda Caceres (MIT Lincoln Lab)
  • Ram Ramanathan (BBN)
  • Tina Eliassi-Rad (Rutgers)
  • U Kang (CMU)
  • Vagelis Papalexakis (CMU)
  • Veljko Pejovic (U Birmingham, UK)
  • Xifeng Yan (UCSB)
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