[Apologies if you got multiple copies of this invitation] 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 <https://www.marriott.com/en-us/hotels/lpaac-ac-hotel-iberia-las-palmas/overview/?scid=f2ae0541-1279-4f24-b197-a979c79310b0> Submission link, Click Here <https://easychair.org/conferences/?conf=snams2024> *SNAMS 2024 CFP * 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 <https://protect-au.mimecast.com/s/0FRWCr810kCvBLJEfz4LG3?domain=ieee.org>). All papers should be in PDF format, and submitted electronically at Paper Submission Link <https://easychair.org/conferences/?conf=snams2024> ( 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. You can Submit: 1- A full paper between 6 and 8 pages (including all figures, tables and references). 2- Short papers are between 3 and 4 pages long, including position papers and industrial demos or project proposals including PhD project proposals. 3- Extended abstract: High-level summary of your research / position paper/ industrial application / Running (funded or non funded) projects or project Ideas/ PhD thesis extended Abstract (2 pages) 4- Abstract: Synopsis of your research, including running (funded or non funded) projects (500 words) 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. 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: 21 September 2024 - extended* 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