Lee and Sohn initiated analysis of the steel commodity trade data and the social network relationships among the countries and products of steel currently being traded across the global frontier. Here they provide general readers, commercial analysts, and students of data analysis the methodology they developed for big data analysis using their results on steel product trade relations as examples. They cover why big data, basic programs for analyzing networks, understanding network analysis, research methods using social network analysis, position and structure, connectivity and role, data structure in NetMiner, and network analysis using NetMiner. Annotation ©2016 Ringgold, Inc., Portland, OR (protoview.com)
Fundamentals of Big Data Network Analysis for Research and Industry
Hyunjoung Lee, Institute of Green Technology, Yonsei University, Republic of Korea
Il Sohn, Material Science and Engineering, Yonsei University, Republic of Korea
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. | |
Rohkem infot Wiley Online kohta