Big data in complex and social networks (Record no. 51420)

MARC details
000 -LEADER
fixed length control field 02085cam a2200253 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field ISURa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160804s2017 flu b 000 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781498726849
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English Language
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.7
Edition number BIG
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Thai, My T.
Relator term Editor
9 (RLIN) 72320
245 00 - TITLE STATEMENT
Title Big data in complex and social networks
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton
Name of publisher, distributor, etc CRC Press,
Date of publication, distribution, etc 2017
300 ## - PHYSICAL DESCRIPTION
Extent x, 242 p.
Dimensions 24 cm.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Chapman & Hall/CRC big data series.
9 (RLIN) 72295
500 ## - GENERAL NOTE
General note Section I. Social networks and complex networks --<br/>section II. Big data and web intelligence --<br/>section III. Security and privacy issues of social networks --<br/>section IV. Applications.
520 ## - SUMMARY, ETC.
Summary, etc <br/>This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of four parts, covering a wide range of topics. The first part of the book focuses on data storage and data processing. It explores how the efficient storage of data can fundamentally support intensive data access and queries, which enables sophisticated analysis. It also looks at how data processing and visualization help to communicate information clearly and efficiently. The second part of the book is devoted to the extraction of essential information and the prediction of web content. The book shows how Big Data analysis can be used to understand the interests, location, and search history of users and provide more accurate predictions of User Behavior. The latter two parts of the book cover the protection of privacy and security, and emergent applications of big data and social networks. It analyzes how to model rumor diffusion, identify misinformation from massive data, and design intervention strategies. Applications of big data and social networks in multilayer networks and multiparty systems are also covered in-depth
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data.
9 (RLIN) 72296
Topical term or geographic name as entry element Online social networks.
9 (RLIN) 72321
Topical term or geographic name as entry element Webometrics.
9 (RLIN) 72322
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wu, Weili
Relator term Editor
9 (RLIN) 72326
Personal name Xiong, Hui
Relator term Editor
9 (RLIN) 72327
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Lending Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Lending Collection Applied Sciences Library Applied Sciences Library Lending Section 23/05/2019 14737.80   005.7 BIG 112970 31/05/2019 31/05/2019 Lending Books
    Dewey Decimal Classification     Reference Collection Applied Sciences Library Applied Sciences Library Reference Section 23/05/2019 14737.80   005.7 BIG 112971 31/05/2019 31/05/2019 Sheduled Reference