Principles of Social Networking

Call for Book Chapters

Principles of Social Networking: The New Horizon and Emerging Challenges

Principles of Social Networking: The New Horizon and Emerging Challenges
Website https://www.springer.com/series/8767
Submission link https://easychair.org/conferences/?conf=psn20200
Full Chapter Submission: 25th December, 2020

About PSN 2020

Principles of Social Networking: The New Horizon and Emerging Challenges (PSN 2020) is a edited book (multi-authored book) to be published at Smart Innovation, Systems and Technologies (SIST), Springer book series (approved). The book aims to cover recent challenges and its solutions in social networking. With the rapid growth of social networking platforms, the study of social networks is gaining immense interest for both theory and practice within the discipline of Data Science. The analysis of social network is mainly driven by the modeling of social networks as a directed or undirected graph of nodes and edges. Since, today’s social networks are very large, to analyze such large-scale networks modeled as graphs and extract useful information (like communities in the networks, information diffusion, important nodes in the network, etc). Networks involving heterogeneous social media and sources are modeled as complex, multidimensional and multimodal networks. A plethora of information is shared over the social networking platforms which includes text, image and audio-visual data. Analysis of such large-scale data in social networks falls within the realm of Big Data Analytics. The proposed book will include chapters presenting research advances in social network analysis and the issues emerged with diverse social media data. The book will present the applications of the theoretical algorithms and network models to analyze real-world large-scale social networks and the data emanating from them as well as characterize the topology and behavior of these networks.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

  • A chapter cannot exceed plagiarism of 10% excluding references.
  • A chapter cannot be submitted multiple places.
  • The chapter must be formatted as per the guideline of LNCS, link: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
  • The review process is single blind. Therefore, author names and affiliations must be included. Do not write professional title, like Dr., Prof., etc.

Camera-ready Submission Guidelines

To submit the final version of your chapter please email following three things to anupam@cse.nits.ac.in with subject line Paper ID and Paper Title.

PSN 2020 solicits high quality unpublished original book chapter and topics are listed below but not limited to

  • Introduction to Social Networking
  • Network Modelling, Visualization and Analyzing Tools
  • Role of Centrality in Social Networks
  • Community detection in Social Networks
  • Link prediction in Social Networks
  • Information diffusion and Epidemics
  • Influence propagation and Influence Maximization
  • Crowdsourcing
  • Privacy and cybersecurity
  • Social Recommender Systems
  • Misinformation, Fake News and Rumor Detection
  • Social Reputation, Influence, and Trust
  • Targeted Advertisement and Viral Marketing
  • Review Mining and Rating
  • Sentiment Analysis and Public Opinion Mining
  • Deep learning techniques for social networking
  • Data collection and quality from Social Media
  • Big data and scalability in Social Networks
  • Social geography and spatial networks
  • Multirelational, multidimensional, multi-aspect, multilayer networks

Editors of the Book

  • Dr. Anupam Biswas, National Institute of Technology Silchar,
  • Dr. Ripon Patgiri, National Institute of Technology Silchar,
  • Dr. Bhaskar Biswas, Indian Institute of Technology (BHU) Varanasi.

Publication

All accepted book chapters will be published in Smart Innovation, Systems and Technologies (SIST) book series (Approved for publication). SIST is indexed in ISI Proceedings, EI-Compendex, SCOPUS, Google Scholar and Springerlink.

Contact

All questions about submissions should be emailed anupam@cse.nits.ac.in .

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