Description

For more than a century, social networks have been studied in a variety of disciplines including sociology, anthropology, psychology, and economics. The Internet, the social Web, and other large-scale, socio-technological infrastructures have triggered a growing interest and significant methodological advancements in social network analysis and mining. Method development in graph theory, statistics, data mining and machine learning, and statistical mechanics is inspired by new research problems and, in turn, opens up further possibilities for application. These spiraling trends have led to a rising prominence of social network analysis and mining methods and tools in academia, politics, security, and business.

The international conference series on Advances in Social Network Analysis and Mining (ASONAM 2019) provides an interdisciplinary venue that brings together researchers and practitioners from a broad variety of fields to promote collaborations and exchange of ideas and practices. ASONAM 2019 is intended to address important aspects with a specific focus on emerging trends and industry needs. The conference solicits empirical, experimental, methodological, and theoretical research reporting original and unpublished results on social network analysis and mining along with applications.

Full papers will be reviewed and assessed by the program committee and a "Best Paper Award" ceremony will be organized at the banquet.

Call for paper

Call for paper description

For more than a century, social networks have been studied in a variety of disciplines including sociology, anthropology, psychology, and economics. The Internet, the social Web, and other large-scale, socio-technological infrastructures have triggered a growing interest and significant methodological advancements in social network analysis and mining. Method development in graph theory, statistics, data mining and machine learning, and statistical mechanics is inspired by new research problems and, in turn, opens up further possibilities for application. These spiraling trends have led to a rising prominence of social network analysis and mining methods and tools in academia, politics, security, and business.

The international conference series on Advances in Social Network Analysis and Mining (ASONAM) provides an interdisciplinary venue that brings together researchers and practitioners from a broad variety of fields to promote collaborations and exchange of ideas and practices. ASONAM is intended to address important aspects with a specific focus on emerging trends and industry needs. The conference solicits empirical, experimental, methodological, and theoretical research reporting original and unpublished results on social network analysis and mining along with applications.

Topics of submission

Techniques

  • Data collection and quality
  • Big data and scalability
  • Deep learning and embeddings
  • Statistical learning
  • Algorithms and techniques
  • Visualization
  • Modeling and simulation

Problems

  • Centrality and roles
  • Community detection
  • Link prediction
  • Information diffusion
  • Influence propagation
  • Anomaly detection
  • Network macro structures
  • Network evolution
  • Emergence
  • Privacy and security
  • Collective behavior
  • Crowd sourcing

Application domains

  • Online and offline social networks
  • Multirelational, multidimensional, multi-aspect, multilayer networks
  • Time-evolving networks
  • Probabilistic networks
  • Semantic networks
  • Social geography and spatial networks
  • Social, cultural, and cyber anthropology
  • Policy impact and analysis
  • Networks in biology and ecology
  • Digital Humanities

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