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Call for Chapters: Business Applications in Social Media Analytics

Organization: IGI Global
Categories: Engineering
Event Date: 2019-10-22 Abstract Due: 2019-08-27

Himani Bansal
JIIT Noida 

Gulshan Shrivastava
National Institute of Technology Patna

Call for Chapters
Proposals Submission Deadline: August 27, 2019
Full Chapters Due: August 27, 2019
Submission Date: October 22, 2019

Analytics is not only a buzzword but a catalyst in up-scaling the business. Analytics is basically a systematic and scientific analysis of the subject area coupled with principles from computer science, mathematics and statistics. Analytics aims at not only analyzing existing data but can also predict and forecast; thus accelerating the business-driven speed. The biggest challenge lies not only in analyzing existing data but pre-processing or data cleaning; especially in case of big data. Sometimes, the data available at disposal may not be authentic, so catching the correct characteristics of it is quite challenging. This becomes of acute concern when data involved is bargained from social media. The humongous data present on social media is really unstructured in nature; thus corroborating it is one of the biggest challenges itself.

This comprehensive and timely publication aims to be an essential reference source, building on the available literature in the field of Business Applications in Social Media and its analysis. Moreover, it will provide insights and support from practitioners and academia in order to highlight the most debated aspects of the field. This book will provide insights detailing every aspect of the field of Business Applications Analytics thus adding value to the knowledge enrichment of the subject matter. The editors will seek chapters that address different aspects such as sentiment analyzing with sarcasm detection, issues in data consolidation, and various challenges with dependability and trust analytics, automation of content extraction and an assortment of applications of business applications in social media analytics using machine learning, evolutionary algorithms and other techniques.

Target Audience
The target audience of this book will be composed of professionals and researchers working in the field of Business Analytics, Big Data, Social network data, computer science, analytical engineering and forensic analysis. Moreover, the book will provide insights and support from practitioners and academia in order to highlight the most debated aspects of the field.

Recommended Topics
Social networking data analysis tools and services 
Machine learning to gain novel insights on social network analysis 
Evolutionary algorithms for learning the behavior analysis for business applications from social networks 
Evolutionary algorithms of mining social networks for decision support in business applications 
Mining and analyzing business applications social data for decision support & optimization 
Optimization of dynamic processes in social networks for business applications 
Social Implications of Electronic Government 
Trust based Sentimental Analysis in Online Social Network 
Forensic Analysis in Online Social Network-Based Web Applications 
Online Trust evaluation 
Business applications analytics through Social Network of Things

Submission Procedure
Researchers and practitioners are invited to submit on or beforeAugust 27, 2019, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by September 28, 2019, about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by October 22, 2019, and all interested authors must consult the guidelines for manuscript submissions at http://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project. 

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Trust in Knowledge Management and Systems in Organizations. All manuscripts are accepted based on a double-blind peer review editorial process. 
All proposals should be submitted through the E-Editorial DiscoveryTM online submission manager.

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2020.

Important Dates
Full Chapter Submission: ................................................................August 27 , 2019 
Revised Chapter Submission from Chapter Authors: .....................October 8, 2019 
Submission of Final Chapters to Editor: .........................................October 22, 2019

Himani Bansal
JIIT Noida 

Gulshan Shrivastava
National Institute of Technology Patna