The 9th International Conference on Social Networks Analysis, Management
and Security (SNAMS-2022)
http://emergingtechnet.org/SNAMS2022/index.php
Milan, Italy. November. 14-17, 2022.
(Pending Technical Co-Sponsorship by IEEE)
*SNAMS 2022 CFP:*
Social network analysis is concerned with the study of relationships
between social entities. The recent advances in internet technologies and
social media sites, such as Facebook, Twitter and LinkedIn, have created
outstanding opportunities for individuals to connect, communicate or
comment on issues or events of their interests. Social networks are dynamic
and evolving in nature; they also involve a huge number of users.
Frequently, the information related to a certain concept is distributed
among several servers. This brings numerous challenges to researchers,
particularity in the data mining and machine learning fields. The purpose
of International Conference on Social Networks Analysis, Management and
Security(SNAMS-2022) is to provide a forum for researchers to present and
discuss their work which is related to social network analysis. The SNAMS
2022 is col-located with the 8th IEEE International Symposium on Internet
of Things: Systems, Management and Security (IoTSMS).
SNAMS 2022 aims to investigate the opportunities and in all aspects of
Social Networks. In addition, it seeks for novel contributions that help
mitigating SNAMS challenges. That is, the objective of SNAMS 2022 is to
provide the opportunity for students, scientists, engineers, and
researchers to discuss and exchange new ideas, novel results and experience
on all aspects of Social Networks. Researchers are encouraged to submit
original research contributions in all major areas, which include, but not
limited to:
*SYSTEMS & INFRASTRUCTURE*
Systems and algorithms for social search
Infrastructure support for social networks and systems
Dynamics and evolution patterns of large and complex networks
Social properties in systems design
Learnings from operational social networks
Data Collection
Big Data and Social Paradigms
*ALGORITHMS AND MODELS*
Deep Learning and Knowledge Discovery.
Measurement and analysis of social and crowdsourcing systems
Benchmarking, modeling, performance and workload characterization
Modeling Social Networks and behavior
Management of social network data
Streaming algorithms for social data
Knowledge and innovation networks
Methods for social and media analysis
Models for network data
Network analysis in human and social sciences
Information propagation and assimilation in social networks
Data mining and machine learning in social systems
*APPLICATIONS*
Novel social applications and systems
Transient OSNs (e.g. Snapchat)
Special purpose OSNs (e.g., Instagram, Vine)
Communities in social networks
Collaboration networks
New models of advertising and monetization in social networks
Mobile advertising on OSNs
Network visualization
Social networks and online education
Sentiment analysis on OSNs
Multilingual social networks
Social networks as agents of societal change
*PRIVACY & SECURITY*
Privacy and security in social systems
Trust and reputations in social systems
Detection, analysis, prevention of spam, phishing, and misbehavior in
social systems
*IMPORTANT DATES:*
Submission Date: 10 September 2022
Notification to Authors: 5 October 2022
Camera Ready and Registration: 15 October 2022
*SUBMISSION*
Papers selected for presentation will appear in the SNAMS Proceedings and
will be submitted to IEEE for inclusion. Papers can be up to 8 pages in
IEEE format, 10pt font using the IEEE 8.5" x 11" two-column format, single
space, A4 format. All papers should be in PDF format, and submitted
electronically at Paper Submission Link. A full paper must not exceed the
stated length (including all figures, tables and references). The
proceedings will be submitted for indexing to EI (Compendex), Scopus and
other indexing services like DBLP.
Submitted papers must present original unpublished research that is not
currently under review for any other conference or journal. Papers not
following these guidelines may be rejected without review. Also,
submissions received after the due date, exceeding length limit, or not
appropriately structured may also not be considered. Authors may contact
the Program Chair for further information or clarification.
Please send any inquiry to the Emerging Tech. Network Team at:
emergingtechnetwork@gmail.com
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