000			02012nam a2200241Ia 4500
003			NULRC
005			20250520102822.0
008			250520s9999 xx 000 0 und d
020			_a9781119015581
040			_cNULRC
050			_aQA 76.9 .L44 2016
100			_aHyunjoung Lee _eauthor
245		0	_aFundamentals of big data network analysis for research and industry / _cHyunjoung Lee and Il Sohn
260			_aUnited Kingdom : _bJohn Wiley & Son, Inc., _cc2016
300			_axviii, 196 pages : _billustrations ; _c24 cm.
365			_bUSD51.89
504			_aIncludes bibliographical references and index.
505			_a1. Why big data? -- 2. Basic programs for analyzing networks -- 3. Understanding network analysis -- 4. Research methods using SNA -- 5. Position and structure -- 6. Connectivity and role -- 7. Data structure in NetMiner -- 8. Network analysis using NetMiner.
520			_aThere 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.
650			_aDATA MINING
700			_aSohn, Il _eco-author
942			_2lcc _cBK
999			_c16091 _d16091