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Gautam Ahuja, Ron Burt, Joel Baum, Tiziana Casciaro, Charlie Galunic,Martin Gargiulo,Martin Kilduff, Joe Labianca, Ray Reagans, Tim Rowley

Bulletin de Méthodologie Sociologique(2014)

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摘要
On 17-20 August 2014, in Beijing, China, the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (http://www.asonam2014.org/) will take place. The ASONAM 2014 Conference provides a premier interdisciplinary forum to bring together researchers and practitioners from all social networking analysis and mining related fields for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. ASONAM 2014 seeks to address important challenging problems with a specific focus on the emerging trends and industry needs associated with social networking analysis and mining. The conference solicits experimental and theoretical findings along with their real-world applications. General areas of interest to ASONAM 2014 include the design, analysis and implementation of social networking theory, systems and applications from computer science, mathematics, communications, business administration, sociology, psychology, anthropology, applied linguistics, biology and medicine. More specialized topics within ASONAM include, but are not limited to: Agent-based social simulation and computational models; Anomaly detection in social network evolution; Application of social network analysis and mining; Community discovery and analysis in large scale online/offline social networks; Crime network analysis; Crowd sourcing; Data models for social networks and social media; Large-scale graph algorithms for social network analysis; Misbehavior detection in communities; Multi-agent based social network modeling and analysis; Open source intelligence; Political impact of social network discovery; Privacy, security and civil liberty issues; Social psychology of information diffusion; and Visual representation of dynamic social networks.
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