Fundamentals of Big Data Network Analysis for Research and Industry

Fundamentals of Big Data Network Analysis for Research and Industry
Authors: Hyunjoung Lee – Il Sohn
ISBN-10: 1119015588
ISBN-13: 9781119015581
Edition 版本:‏ 1
Released: 2016-01-19
Pages: 216 pages
Presents the methodology of big data analysis using examples from research and industry
There are large amounts of data everywhere,and the ability to pick out crucial information is increasingly important. Contrary to popular belief,not all information is useful; big data network analysis assumes that data is not only large,but also meaningful,and this book focuses on the fundamental techniques required to extract essential information from vast datasets.
Featuring case studies drawn largely from the iron and steel industries,this book offers practical guidance which will enable readers to easily understand big data network analysis. Particular attention is paid to the methodology of network analysis,offering information on the method of data collection,on research design and analysis,and on the interpretation of results. A variety of programs including UCINET,NetMiner,R,NodeXL,and Gephi for network analysis are covered in detail.
Fundamentals of Big Data Network Analysis for Research and Industry looks at big data from a fresh perspective,and provides a new approach to data analysis.
This book:
Explains the basic concepts in understanding big data and filtering meaningful data
Presents big data analysis within the networking perspective
Features methodology applicable to research and industry
Describes in detail the social relationship between big data and its implications
Provides insight into identifying patterns and relationships between seemingly unrelated big data
Fundamentals of Big Data Network Analysis for Research and Industry will prove a valuable resource for analysts,research engineers,industrial engineers,marketing professionals,and any individuals dealing with accumulated large data whose interest is to analyze and identify potential relationships among data sets.
Title Page
Preface
About the Authors
List of Figures
List of Tables
1Why Big Data?
2 Basic Programs for Analyzing Networks
3 Understanding Network Analysis
4Research Methods Using SNA
5 Position and Structure
6Connectivity and Role
7 Data Structure in NetMiner
8 Network Analysis Using NetMiner
Appendix A: Visualization
Appendix B: Case Study
Index
End User License Agreement