会议信息

SNAMS 2026: International Symposium on Social Networks Analysis, Management and Security

截稿日期:
2026-09-10 已截稿
通知日期:
2026-09-25
会议日期:
2026-11-17
会议地点:
Barcelona, Spain
届数:
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会伴指数 (CP-I)

55.5 / 100
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学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
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会议传承 (20%)
71
社区关注 (10%)
33
资料公开度 (15%)
70

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征稿

SNAMS 2026 (International Symposium on Social Networks Analysis, Management and Security) is an academic conference held in Barcelona, Spain on 2026-11-17. The paper submission deadline is 2026-09-10 (extended). Acceptance notifications are sent on 2026-09-25.

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-2026) 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-2026 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: GENERAL SOCIAL NETWORKS TOPICS Data mining and machine learning techniques for social networks Analysis of social media content and trends Impact of social networks on society and human behavior Network visualization and big data analytics Algorithms and models for social network analysis. Sentiment analysis and opinion mining in social media Influence and information propagation in 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. 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. Information propagation and assimilation in social networks. SOCIAL NETWORK APPLICATIONS Novel social applications and systems. Communities in social networks Social networks and online education. Content sharing (posts, images, videos) Multilingual social networks. 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. ONLINE SOCIAL NETWORK Special purpose Online Social Networks (e.g., Facebook, X (Twitter), Instagram, LinkedIn, TikTok). Mobile advertising on Online Social Networks Sentiment analysis on Online Social Networks. BIG DATA AND SOCIAL NETWORKS Network visualization and big data analytics. Big data technologies for social network analysis . Big Data and Social Paradigms
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