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Social Network Analytics: Computational Research Methods and Techniques

Social Network Analytics: Computational Research Methods and Techniques

Social Network Analytics: Computational Research Methods and Techniques
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Social Network Analytics: Computational Research Methods and Techniques Paperback - 2018

by Dey, Nilanjan/ Borah, Samarjeet/ Babo, Rosalina/ Ashour, Amira

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  • Title Social Network Analytics: Computational Research Methods and Techniques
  • Author Dey, Nilanjan/ Borah, Samarjeet/ Babo, Rosalina/ Ashour, Amira
  • Binding Paperback
  • Condition New
  • Pages 267
  • Volumes 1
  • Language ENG
  • Publisher Academic Press
  • Publication date 2018-11-23
  • Features Bibliography, Index
  • Bookseller's Inventory # 33822917-n
  • ISBN 9780128154588 / 0128154586
  • Weight 1.06 lbs (0.48 kg)
  • Dimensions 9.25 x 7.5 x 0.58 in (23.50 x 19.05 x 1.47 cm)
  • Category Computer - Internet
  • Library of Congress subjects Online social networks, Social sciences - Network analysis
  • Library of Congress Catalogue Number 2018964201
  • Dewey Decimal Code 302.302
  • Quantity available 5

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From the publisher

Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more.

As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more.

About the author

Nilanjan Dey received his Ph. D. Degree from Jadavpur University, India, in 2015. He is an Assistant Professor in the Department of Information Technology, Techno India College of Technology, Kolkata, W.B., India. He holds an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and Research Scientist of Laboratory of Applied Mathematical Modeling in Human Physiology, Territorial Organization of- Scientific and Engineering Unions, Bulgaria. Associate Researcher of Laboratoire RIADI, University of Manouba, Tunisia. His research topic is Medical Imaging, Data mining, Machine learning, Computer Aided Diagnosis, Atherosclerosis etc. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence (IGI Global), US, International Journal of Rough Sets and Data Analysis (IGI Global), US, the International Journal of Synthetic Emotions (IGI Global), US, (Co-EinC) and International Journal of Natural Computing Research (IGI Global), US. Series Editor (Co.) of Advances in Ubiquitous Sensing Applications for Healthcare (AUSAH), Elsevier, Advances in Geospatial Technologies (AGT) Book Series, (IGI Global), US, Executive Editor of International Journal of Image Mining (IJIM), Inderscience, Associated Editor of IEEE Access and International Journal of Information Technology, Springer. He has 20 books and more than 200 research articles in peer-reviewed journals and international conferences. He is the organizing committee member of several international conferences including ITITS, W4C, ICMIR, FICTA, ICICT.

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