Focus Session: Social Dynamics and Scaling
FOCUS · P22 ·
Presentations
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The impact of social network complexity: from collaboration teams to epidemics
COFFEE_KLATCH · Invited
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Authors
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Alessandro Vespignani
- Indiana University
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Modeling self-organization of communication and topology in Social Networks
ORAL
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Authors
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Kim Sneppen
- Niels Bohr Institute
- Niels Bohr Institute, Copenhagen University
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ABSTRACT WITHDRAWN
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Large-scale Individual-based Models of Pandemic Influenza Mitigation Strategies
ORAL
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Authors
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Kai Kadau
- Los Alamos National Laboratory
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Timothy C. Germann
- Los Alamos National Laboratory
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Ira Longini
- University of Washington and Hutchinson Cancer Research Center
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Catherine Macken
- Los Alamos National Laboratory
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Dynamics of epidemics outbreaks in heterogeneous populations
ORAL
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Authors
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Dirk Brockmann
- MPI for Dynamics and Self-Organization
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Alejandro Morales-Gallardo
- MPI for Dynamics and Self-Organization
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Theo Geisel
- MPI for Dynamics and Self-Organization
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The effect of heterogeneity in infectivity and susceptibility on epidemic spread
ORAL
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Authors
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Joel Miller
- Los Alamos National Laboratory
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Phase diagram of the diffusive epidemic process
ORAL
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Authors
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Ronald Dickman
- Universidade Federal de Minas Gerais
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Daniel Souza Maia
- Universidade Federal de Minas Gerais
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Epidemics on dynamic networks with spatial structure
ORAL
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Authors
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Leah Shaw
- Naval Research Lab
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Ira Schwartz
- Naval Research Lab
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Proximity Networks and Epidemics
ORAL
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Authors
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Hasan Guclu
- Los Alamos National Laboratory
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Zolt\'an Toroczkai
- University of Notre Dame
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Adaptive networks: the example of consensus formation.
ORAL
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Authors
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Balazs Kozma
- LPT, Universite de Paris-Sud 11, Orsay, FRANCE
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Alain Barrat
- LPT, Universite de Paris-Sud 11, Orsay, FRANCE
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Social network analysis based on WWW search engine
ORAL
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Authors
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Sang Hoon Lee
- KAIST, Daejeon 305-701, Korea
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Pan-Jun Kim
- KAIST, Daejeon 305-701, Korea
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Yong-Yeol Ahn
- KAIST, Daejeon 305-701, Korea
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Hawoong Jeong
- KAIST, Daejeon 305-701, Korea
- Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea
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The voter model on an adaptive network.
ORAL
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Authors
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Beate Schmittman
- Dept. Physics, Virginia Tech
- Virginia Tech
- Virginia Polytechnic Institute and State University
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Izabella Benczik
- Virginia Tech
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Royce K.P. Zia
- Dept. Physics, Virginia Tech
- Virginia Tech
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Sandor Benczik
- Virginia Tech
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Resolution limit in community detection
ORAL
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Authors
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Marc Barthelemy
- CEA
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Santo Fortunato
- Indiana University
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