*****  To join INSNA, visit  *****

The 2019 IEEE/ACM International Conference on Advances in Social
Networks Analysis and Mining (ASONAM 2019)
Marriott Downtown, Vancouver, Canada,   27-30 August, 2019

Call for Exhibits and Demos
The IEEE/ACM International Conference on Advances in Social Network
Analysis and Mining (ASONAM) 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.

Researchers, practitioners and developers are invited to submit demo
proposals to ASONAM 2019. The topics include, but not restricted to,
the following:

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
Connection between biological similarities and social network formulation
Contextual social network analysis and mining
Crime network analysis
Crowd sourcing
Cyber anthropology
Dark Web
Data models for social networks and social media
Data protection inside communities
Economical impact of social network discovery
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
Information acquisition and establishment of social relations
Influence of cultural aspects on the formation of communities
Large-scale graph algorithms for social network analysis
Misbehaviour detection in communities
Migration between communities
Multi-actor/multiple-relationship networks
Multi-agent based social network modeling and analysis
Open source intelligence
Pattern presentation for end-users and experts
Personalization for search and for social interaction
Political impact of social network discovery
Privacy, security and civil liberty issues
Recommendations for product purchase, information acquisition and
establishment of social relations
Scalability of social networking/search algorithms
Social and cultural anthropology
Social geography
Social psychology of information diffusion
Spatial/knowledge networks
Statistical modeling of large networks
Trust networks and evolution of trust
Visual representation of dynamic social networks

Each accepted demo is required to have a poster and demonstrate during
the demo sessions using own laptop/device. ASONAM 2019 will provide
space and Internet connection at the conference venue.


Submissions can be done by email to Prof. Tansel Ozyer [log in to unmask]

All demonstration submissions must be no more than 4 pages (including
all figures) using IEEE CPS two-column template and should provide a
short and clear description about the system to be demonstrated,
covering a summary of its novel characteristics, the list of its
functions and features. Any submission that does not follow the
guidelines will be rejected without review.

The selection criteria used for demonstration proposals include
novelty, technical quality, and presentation quality of the
demonstrated system.


All accepted demos will be included in the formal conference
proceedings and forwarded for inclusion in IEEE Computer Society
Digital Library (CSDL), IEEE Xplore and the ACM Digital Library. The
conference proceedings will be submitted for EI indexing through
INSPEC by IEEE. The proceedings will be also covered by several other
indexes, including DBLP, SCOPUS, etc.

Key Dates--
Demo Paper Submission
June 30, 2019 11:59 PM American Samoa Zone (UTC-11)
Acceptance Notification
July 20, 2019
Camera-ready Copy
July 30, 2019 11:59 PM American Samoa Zone (UTC-11)

Assoc. Prof. Tansel Özyer
Department of Computer Engineering
TOBB ETU, Ankara Turkey 

SOCNET is a service of INSNA, the professional association for social
network researchers ( To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.