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-2023) is to provide a forum for researchers to present and discuss their work which is related to social network analysis.

SNAMS 2023 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 2023 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