Conference Information
ASONAM 2017 : IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
http://asonam.cpsc.ucalgary.ca/2017/
Submission Date:
2017-03-17
Notification Date:
2017-05-12
Conference Date:
2017-07-31
Location:
Sydney, Australia
Years:
9
QUALIS: b4   Viewed: 7894   Tracked: 7   Attend: 1

Conference Location
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Call For Papers
The study of social networks originated in the social science, anthropology, and business communities. In recent years, social network research has advanced significantly; the development of advanced techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the internet, the social web, and other large-scale, socio-technical infrastructures, which are widely analyzed using graph theory, statistics, and data mining and machine learning techniques. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, and community formation and evolution. These trends have led to a rising prominence of SNAM in academia, politics, homeland security, and business.

The international conference on Advances in Social Network Analysis and Mining (ASONAM 2017) will primarily provide an interdisciplinary venue that will bring together practitioners and researchers from a variety of SNAM fields to promote collaborations and exchange of ideas and practices. ASONAM 2017 is intended to address important aspects with a specific focus on the emerging trends and industry needs associated with social networking analysis and mining. The conference solicits experimental and theoretical works reporting original and unpublished research results on social network analysis and mining along with their application to real life situations. More specialized topics within ASONAM 2017 include, but are not limited to:

    Accuracy of network data at scale
    Analysis of covert networks, Dark Web
    Anomaly detection in social network evolution
    Application of social network analysis and mining
    Community discovery and analysis in large scale online/offline social networks
    Computational simulations and modeling
    Crowd sourcing of network data generation and collection
    Cyber anthropology
    Data models for social networks and social media
    Economics of transactions in networks
    Ethics, privacy and security with network data collection and analysis
    Evolution of communities/patterns on the Web and in large organizations
    Impact of social networks on recommendations systems
    Incorporating social information in query processing and query optimization
    Influence of cultural aspects on the formation of communities
    Information acquisition and establishment of social relations
    Information diffusion
    Large-scale graph algorithms for social network analysis
    Migration between communities
    Misbehavior detection in communities
    Multi-actor/multiple-relationship networks
    Network formation and evolution
    Network visualization
    Open source intelligence
    Pattern presentation for end-users and experts
    Personalization for search and for social interaction
    Political impact of social network discovery
    Privacy and security of social networks
    Scalability of social networking/search algorithms
    Social and cultural anthropology
    Social geography and spatial networks
    Statistical modeling of large networks
    Trust in networks

To fully embrace the fast-growing and vigorously dynamic trend of social networks and applications, ASONAM 2017 is eager to consider any breakthroughs in social network analysis and mining in the broadest possible sense.

General areas of interest to ASONAM 2017 include information science and mathematics, communication studies, business and organizational studies, sociology, psychology, anthropology, applied linguistics, biology and medicine.
Last updated by Dou Sun in 2016-12-18
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