MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02012nam a2200241Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
NULRC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250520102822.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250520s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781119015581 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
NULRC |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA 76.9 .L44 2016 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Hyunjoung Lee |
| Relator term |
author |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Fundamentals of big data network analysis for research and industry / |
| Statement of responsibility, etc. |
Hyunjoung Lee and Il Sohn |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
United Kingdom : |
| Name of publisher, distributor, etc. |
John Wiley & Son, Inc., |
| Date of publication, distribution, etc. |
c2016 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xviii, 196 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
USD51.89 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1. 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 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
DATA MINING |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Sohn, Il |
| Relator term |
co-author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Books |
