Big Data Analytics : A Social Network Approach book cover
1st Edition

Big Data Analytics
A Social Network Approach

ISBN 9781138082168
Published October 9, 2018 by CRC Press
316 Pages 119 B/W Illustrations

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Book Description

Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data, necessitating the development of novel analytic approaches and tools.

This reference work deals with social network aspects of big data analytics. It covers theory, practices and challenges in social networking. The book spans numerous disciplines like neural networking, deep learning, artificial intelligence, visualization, e-learning in higher education, e-healthcare, security and intrusion detection.

Table of Contents

Linkage based Social Network Analysis in Distributed Platform

Ranjan Kumar Behera, Monalisa Jena, Debadatta Naik, Bibudatta Sahoo, and Santanu Kumar Rath

An Analysis of AI based Supervised Classifiers for Intrusion Detection in Big Data

Gulshan Kumar, and Kutub Thakur

Big Data Techniques in Social Network Analysis

B.K. Tripathy, Sooraj T.R., and RK Mohanty

Analysis of Deep Learning Tools and Applications in e-Healthcare

Rojalina Priyadarshini, Rabindra K. Barik, Brojo Kishore Mishra, Harishchandra Dubey, and Kunal Mankodiya

Assessing the Effectiveness of IPTEACES e-Learning Framework in Higher Education: An Australian’s Perspective

Tomayess Issa, Nuno Pena, and Pedro Isaias

Review Study: CAPTCHA Mechanisms for Protecting Web services against Automated Bots Mohamed Torky and Aboul Ella Hassanien

Colored Petri Net Model for Blocking Misleading Information Propagation in Online Social Networks

Mohamed Torky and Aboul Ella Hassanien

The Conceptual and Architectural Design of Genetic-Based Optimal Pattern Warehousing System

Vishakha Agarwal, Akhilesh Tiwari, R. K. Gupta, and Uday Pratap Singh

Controlling Social Information Cascade: A Survey

Ragia Ibrahim, Aboul Ella Hassanien Ali. and Hesham Hefniy

Swarms optimization for Community Detection in Complex Networks: A Comparative Analysis

Khaled Ahmed, Ramadan Babers, Ashraf Darwish and Aboul Ella Hassanien Ali

Trustworthiness in the Social Internet of Things

B. K. Tripathy and Deboleena Dutta

Big Data Analysis: Technology and Applications

Abhijit Suprem

Social Networking in Higher Education: Saudi Arabia perspective

Khalid Almufaraj and Tomayess Issa

Animal Social Networks Analysis: Reviews, Tools and Challenges

Ashraf Darwish, and Aboul ella Hassanien

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Mrutyunjaya Panda is a Reader in the Department of Computer Science and Application, Utkal University, Bhubaneswar, Odisha, India. His areas of research include Data Mining, Intrusion Detection, Mobile Communication, Social Networking, Sensor Network and Image Processing.

Aboul-Ella Hassanien (Abo) is a Professor in the Faculty of Computers and Information, IT Department, Cairo University, and the Chair of the Technology Center of Blind and Visually Impaired People.

Ajith Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), USA which has more than 1,000 scientific members from over 100 countries. He works in a multi-disciplinary environment involving Machine Intelligence, Cyber-physical Systems, Internet of Things, Network Security, Sensor Networks, Web Intelligence and its applications in various real-world problems.