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Hybrid Intelligence for Social Networks

  • Book
  • © 2017

Overview

Editors:
  1. Hema Banati

    1. Dept. of Computer Science, Dyal Singh College, University of Delhi, Delhi, India

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  2. Siddhartha Bhattacharyya

    1. Dept. of Information Technology, RCC Institute of Information Technology, Kolkata, India

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  3. Ashish Mani

    1. Dept. of Electrical & Electronics Engineering, Amity University, Noida, India

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  4. Mario Köppen

    1. Network Design and Research Center, Kyushu Institute of Technology, Fukuoka, Japan

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  • Contributions provide a multidimensional approach
  • Useful reference for graduate students and researchers in computer science, electronics engineering, communications, and information technology
  • Explains techniques used to develop robust, time-efficient, fail-safe hybrid intelligent systems

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Hybrid Intelligent Techniques in Text Mining and Analysis of Social Networks and Media Data

    • Neha Golani, Ishan Khandelwal, B. K. Tripathy
    Pages 1-24

  3. Social Network Metrics Integration into Fuzzy Expert System and Bayesian Network for Better Data Science Solution Performance

    • Goran Klepac, Robert Kopal, Leo Mršić
    Pages 25-45

  4. Community Detection Using Nature Inspired Algorithm

    • Sunita Chand, Shikha Mehta
    Pages 47-76

  5. A Unified Framework for Community Structure Analysis in Dynamic Social Networks

    • Sajid Yousuf Bhat, Muhammad Abulaish
    Pages 77-97

  6. GSO Based Heuristics for Identification of Communities and Their Leaders

    • Nidhi Arora, Hema Banati
    Pages 99-127

  7. A Holistic Approach to Influence Maximization

    • Nireshwalya Sumith, Basava Annappa, Swapan Bhattacharya
    Pages 129-160

  8. Opinion Dynamics Through Natural Phenomenon of Grain Growth and Population Migration

    • Puja Munjal, Sandeep Kumar, Lalit Kumar, Aashish Banati
    Pages 161-175

  9. Opinion Mining from Social Travel Networks

    • Charu Puri, Akhil Yadav, Gaurav Jangra, Kush Saini, Naveen Kumar
    Pages 177-206

  10. Facilitating Brand Promotion Through Online Social Media: A Business Case Study

    • Mini Ulanat, K. Poulose Jacob
    Pages 207-225

  11. Product Diffusion Pattern Analysis Model Based on User’s Review of E-Commerce Application

    • Niyati Aggrawal, Anuja Arora, Ankit Jain, Dharmesh Rathor
    Pages 227-248

  12. Hierarchical Sentiment Analysis Model for Automatic Review Classification for E-commerce Users

    • Jagbir Kaur, Meenakshi Bansal
    Pages 249-267

  13. Trends and Pattern Analysis in Social Networks

    • Meenu Chopra, Mamta Madan, Meenu Dave, Cosmena Mahapatra
    Pages 269-298

  14. Extensible Platform of Crowdsourcing on Social Networking Sites: An Analysis

    • Shilpi Sharma, Hitesh Kumar
    Pages 299-321

  15. Back Matter

    Pages 323-327
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Keywords

About this book

This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing. 

The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology. 

Editors and Affiliations

  • Dept. of Computer Science, Dyal Singh College, University of Delhi, Delhi, India

    Hema Banati

  • Dept. of Information Technology, RCC Institute of Information Technology, Kolkata, India

    Siddhartha Bhattacharyya

  • Dept. of Electrical & Electronics Engineering, Amity University, Noida, India

    Ashish Mani

  • Network Design and Research Center, Kyushu Institute of Technology, Fukuoka, Japan

    Mario Köppen

Bibliographic Information

  • Book Title: Hybrid Intelligence for Social Networks

  • Editors: Hema Banati, Siddhartha Bhattacharyya, Ashish Mani, Mario Köppen

  • DOI: https://doi.org/10.1007/978-3-319-65139-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Hardcover ISBN: 978-3-319-65138-5Published: 07 December 2017

  • Softcover ISBN: 978-3-319-87955-0Published: 27 May 2018

  • eBook ISBN: 978-3-319-65139-2Published: 28 November 2017

  • Edition Number: 1

  • Number of Pages: XIV, 327

  • Number of Illustrations: 37 b/w illustrations, 105 illustrations in colour

  • Topics: Artificial Intelligence, Computational Intelligence, Computer Appl. in Social and Behavioral Sciences

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