The 11th IEEE International Conference on Social Networks Analysis, Management and Security (SNAMS2024)

https://emergingtechnet.org/SNAMS2024

Gran Canaria, Spain. December 9-11, 2024

Venue: AC Hotel Iberia Las Palmas




Social network analysis is the study of relationships between social entities, a field significantly enriched by the recent advances in internet technologies and social media platforms such as Facebook, Twitter, and LinkedIn. These platforms offer unprecedented opportunities for individuals to connect, communicate, and share their perspectives on a vast array of topics. The dynamic and ever-evolving nature of social networks, coupled with the massive scale of user participation, poses significant challenges for researchers, particularly in data mining and machine learning. The International Conference on Social Networks Analysis, Management and Security (SNAMS-2024) aims to provide a comprehensive forum for researchers, practitioners, and industry experts to present and discuss their latest findings and innovations in the realm of social network analysis. This conference seeks to explore the vast opportunities in social networks, addressing both theoretical and practical challenges. SNAMS-2024 is dedicated to fostering an environment where students, scientists, engineers, and researchers can exchange ideas, present novel research contributions, and share experiences across all facets of social networks. We invite original research contributions in a wide range of topics, including but not limited to:

Data mining and machine learning techniques for social networks
Social network dynamics and evolution
Security, privacy, and trust in social networks
Analysis of social media content and trends
Impact of social networks on society and human behavior
Network visualization and big data analytics
Applications of social network analysis in various domains (e.g., marketing, healthcare, education)
Algorithms and models for social network analysis
Sentiment analysis and opinion mining in social media
Influence and information propagation in social networks
Industrial applications of social network analysis
Big data technologies for social network analysis
Cloud and edge analytics for social networks
Semantic analysis and knowledge graphs in social networks
Business intelligence and decision-making based on social network data
Ethical issues and governance in social network analysis
Real-time and streaming analytics for social networks
Case studies and best practices in social network management
Integration of social network analysis with IoT and smart environments
Fakenews detection
Bots and social media
Artificial Intelligence and Machine Learning for Social Networks Analysis


LLMs and Social Network Analysis:

Applications of LLMs in Social Network Analysis

LLM-based Sentiment Analysis in Social Media

Fake News Detection with LLMs.

Privacy and Ethical Considerations in Using LLMs

Enhancing User Experience in Social Networks with LLMs

Cross-lingual Social Media Analysis with LLMs

Dynamic Topic Modeling in Social Networks with LLMs

LLM-driven Community Detection and Analysis

Cultural and Societal Impact of LLMs on Social Networks.

Multimodal AI for Social Network Analysis

Integrating Multimodal AI in Social Network Analysis

Multimodal Sentiment Analysis on Social Media

Cross-modal Fake News Detection

Privacy and Security in Multimodal Social Network Data

User Behavior Analysis with Multimodal Data

Multimodal Content Generation and Personalization

Emotion and Sentiment Recognition from Multimodal Data

Social Event Detection with Multimodal AI

Bias and Fairness in Multimodal AI Systems

Real-time Multimodal Data Processing for Social Networks

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



Submissions Guidelines and Proceedings

Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format (IEEE Templates). All papers should be in PDF format, and submitted electronically at Paper Submission Link (https://easychair.org/conferences/?conf=snams2024). A full paper must not exceed the stated length (including all figures, tables and references). 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.


All submissions are peer-reviewed by at least two reviewers. Accepted papers will appear in the SNAMS 2024 Proceeding and to be submitted to IEEE Xplore for inclusion. The proceedings are also submitted for indexing to EI (Compendex), Scopus and other indexing services like DBLP.

Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers must not exceed 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers.


Important Dates

Submission Date: 30 Sept 2024 - FIRM Deadline
Notification to Authors: 20 October 2024
Camera Ready Submission: 30 October 2024



Contact: If you have any questions, please send an email to: gcetconference@gmail.com



SNAMS 2024 General Co-Chairs:

* Ghaleb Awad El Refae, Univereist of Al-Ain, UAE

* Christian Guetl, Graz University of Technology, Graz, Austria

* Paolo Ceravolo, SESAR Lab, Università degli Studi di Milano, Italy