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Special Issue Lecture Notes in Social Networks (Springer) 
Emerging Research Challenges And Opportunities in Computational Social Network Analysis and Mining

Call for Papers

The study of social networks originated in the social science, anthropology, and business communities. In recent years, social network research has advanced significantly; the development of advanced techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the internet, the social web, and other large-scale, socio-technical infrastructures, which are widely analyzed using graph theory, statistics, and data mining and machine learning techniques. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, and community formation and evolution. These trends have led to a rising prominence of SNAM in academia, politics, homeland security, and business.

The edited book welcomes theoretical, analytical, and empirical contributions using any kind of research method, including experiments, primary data from social media logs, case studies, simulations, surveys, and so on. Submissions are encouraged to examine emerging research challenges and opportunities in computational social network analysis and mining. The target audience for this book will consist of researchers, practitioners, and graduate students from the various disciplines including (but not limited to) sociology, behavioral science, computer science, psychology, cultural study, information systems, operations research and communication. This is not a college textbook. However, it can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organisation Theory, Cyberpolitics, Information Technology and Justice, among numerous others.

Through this edited volume, we intend to create a venue to bring together researchers and practitioners from different disciplines, to share, exchange, learn, and develop preliminary results, new concepts, ideas, principles, and methodologies, aiming to advance the area of computational social science.

Read more about the volume here:
http://link.springer.com/bookseries/8768

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TOPICS:
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* Accuracy of network data at scale
* Analysis of covert networks, Dark Web
* Anomaly detection in social network evolution
* Applications of social network analysis and mining
* Community discovery and analysis in large scale social networks
* Computational simulations and modeling
* Crowd sourcing of network data generation and collection
* Cyber anthropology
* Data models for social networks and social media
* Economics of transactions in networks
* Ethics of network data collection and analysis
* Evolution of communities/patterns on the Web and in large organisations
* Impact of social networks on recommendations systems
* Incorporating social information in query processing and query optimization
* Influence of cultural aspects on the formation of communities
* Information acquisition and establishment of social relations
* Information diffusion
* Influence and Trust in networks
* Large-scale graph algorithms for social network analysis
* Migration between communities
* Misbehavior detection in communities
* Multi-actor/multiple-relationship networks
* Network formation and evolution
* Network visualization
* Open source intelligence
* Pattern presentation for end-users and experts
* Personalization for search and for social interaction
* Political impact of social network discovery
* Privacy and security of social networks
* Scalability of social networking/search algorithms
* Social and cultural anthropology
* Social geography and spatial networks
* Statistical modeling of large networks

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Important dates:
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Submission due: June 15, 2017
Notifications: July 30, 2017
Revisions / camera-ready due: August 15, 2017

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Submissions:
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All papers should follow the manuscript preparation guidelines for the Springer Lecture Notes in Social Network Analysis submissions, see Instructions for Authors section at http://www.springer.com/series/8768. The authors are requested to submit their manuscripts via the online submission manuscript system, available at https://easychair.org/conferences/?conf=ercocsnam17.

Should there be any further enquires, please address them to the coordinating guest editor for the special issue: [log in to unmask]

Best Wishes,

Nima Dokoohaki and Nitin Agarwal
LNSN Editors
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