Bøger i Lecture Notes in Social Networks serien

Network Analysis Literacy focuses on design principles for network analytics projects. The text enables readers to: pose a defined network analytic question; build a network to answer the question; choose or design the right network analytic methods for a particular purpose, and more.

The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making.

This edited volume presents research based on social network techniques showing how data from crime and terror networks can be analyzed and how information can be extracted. general aspects of social networks such as pattern and anomaly detection;

This collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis.

In addition, a Social Networking and Education Model (SNEM) will be developed to promote and implement Social Networking in the education sector.

This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented.

This work represents a milestone for the "ULOOP User-centric Wireless Local Loop" project funded by the EU IST Seventh Framework Programme. ULOOP is focused on the robust, secure, and autonomic deployment of user-centric wireless networks.

Networks and Network Analysis for Defence and Security discusses relevant theoretical frameworks and applications of network analysis in support of the defence and security domains. With this dynamic and complex threat landscape, network analysis has emerged as a key enabler in supporting defence and security.

This volume aims at assessing the current approaches and technologies, as well as to outline the major challenges and future perspectives related to the security and privacy protection of social networks.

This work addresses the gap in the current collective action literature exposed by the new Information and Communication Technologies (ICTs) landscape by bringing together qualitative and quantitative studies from computational and social sciences.

The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking.

Through a detailed critique of existing online social networks, this volume presents the technical and methodological aspects of designing social media platforms and applications. Readers will learn current techniques and best practices for designing and implementing social networks on the web.

The topics cover generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, behavior detection, mining social content for common trends, identifying and ranking social content sources, building friend-comprehension tools, and many others.

This edited volume presents research based on social network techniques showing how data from crime and terror networks can be analyzed and how information can be extracted. general aspects of social networks such as pattern and anomaly detection;

Important aspects of social networking analysis are covered in this work by combining experimental and theoretical research.

This book shows how open source intelligence can be a powerful tool for combating crime by linking local and global patterns to help understand how criminal activities are connected. Readers will encounter the latest advances in cutting-edge data mining, machine learning and predictive analytics combined with natural language processing and social network analysis to detect, disrupt, and neutralize cyber and physical threats. Chapters contain state-of-the-art social media analytics and open source intelligence research trends. This multidisciplinary volume will appeal to students, researchers, and professionals working in the fields of open source intelligence, cyber crime and social network analytics. Chapter Automated Text Analysis for Intelligence Purposes: A Psychological Operations Case Study is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

The work covers Social Network Analysis theory and methods with a focus on current applications and case studies applied in various domains such as mobile networks, security, machine learning and health.

The study of social networks was originated in social and business communities.

The present work will discuss relevant theoretical frameworks and applications pertaining to enabling resilience within the risk, crisis and disaster management domain. This will be of particular interest to those working in the risk, crisis and disaster management domain as it will provide valuable insights into enabling resilience.