
Advances in Social Networks Analysis and Mining by Panagiotis Karampelas
This book explores the evolution of social network analysis and mining (SNAM), a field that originated in social and business communities but has expanded significantly in recent years. The rise of online social platforms, email logs, phone records, and instant messaging systems has driven the development of advanced techniques for analyzing social networks, drawing heavily on graph theory and machine learning.
As the Web increasingly becomes a social medium, it fosters human interaction, the sharing of experiences and knowledge, and the formation and evolution of communities. This transformation has amplified the importance of SNAM in fields such as academia, politics, homeland security, and business, where understanding the complex relationships between networked actors is crucial.
This book presents a comprehensive collection of cutting-edge research and developments in SNAM, offering a valuable resource for researchers and practitioners seeking to deepen their understanding of social networks and their applications.
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The New Wave of Moving from Information Management (IM) to Intelligence Management (IM)
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Social Media Analysis for Event Detection
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Big Data and Social Media Analytics
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Disinformation, Misinformation, and Fake News in Social Media
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Behavior and Evolutionary Dynamics in Crowd Networks
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Challenges in Social Network Research
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Counterterrorism and Open Source Intelligence
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Networks and Network Analysis for Defence and Security
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Techniques and Tools for Designing an Online Social Network Platform
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Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection
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Security and Privacy Preserving in Social Networks
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Social Network Based Big Data Analysis and Applications
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Applications of Data Management and Analysis
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Mutative Media
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Network Intelligence Meets User Centered Social Media Networks
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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining
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Prediction and Inference from Social Networks and Social Media
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From Security to Community Detection in Social Networking Platforms
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Social Networks and Surveillance for Society
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Social Networking and Education
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Online Collective Action
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Social Networks: Analysis and Case Studies
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Social Network Analysis in Predictive Policing
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Open Source Intelligence and Cyber Crime
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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation
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Machine Learning Techniques for Online Social Networks
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Structural Differentiation in Social Media
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From Social Data Mining and Analysis to Prediction and Community Detection
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Formal Concept Analysis of Social Networks
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Finding Communities in Social Networks Using Graph Embeddings
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Public Health Intelligence and the Internet
| SKU | Unavailable |
| ISBN 13 | 9783032135087 |
| ISBN 10 | 3032135087 |
| Title | Advances in Social Networks Analysis and Mining |
| Author | Panagiotis Karampelas |
| Series | Lecture Notes In Social Networks |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2025-12-23 |
| Number of pages | 470 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |






























