Advances in Social Network Mining and Analysis (Record no. 75125)

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fixed length control field 04619nam a22006495i 4500
001 - CONTROL NUMBER
control field 978-3-642-14929-0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801140044.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100808s2010 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783642149290
-- 978-3-642-14929-0
082 04 - CLASSIFICATION NUMBER
Call Number 005.3
245 10 - TITLE STATEMENT
Title Advances in Social Network Mining and Analysis
Sub Title Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008. Revised Selected Papers /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2010.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XI, 131 p. 47 illus.
490 1# - SERIES STATEMENT
Series statement Theoretical Computer Science and General Issues,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study -- Community Detection Using a Measure of Global Influence -- Communication Dynamics of Blog Networks -- Finding Spread Blockers in Dynamic Networks -- Social Network Mining with Nonparametric Relational Models -- Using Friendship Ties and Family Circles for Link Prediction -- Information Theoretic Criteria for Community Detection.
520 ## - SUMMARY, ETC.
Summary, etc This year’s volume of Advances in Social Network Analysis contains the p- ceedings for the Second International Workshop on Social Network Analysis (SNAKDD 2008). The annual workshop co-locates with the ACM SIGKDD - ternational Conference on Knowledge Discovery and Data Mining (KDD). The second SNAKDD workshop was held with KDD 2008 and received more than 32 submissions on social network mining and analysis topics. We accepted 11 regular papers and 8 short papers. Seven of the papers are included in this volume. In recent years, social network research has advanced signi?cantly, thanks to the prevalence of the online social websites and instant messaging systems as well as the availability of a variety of large-scale o?ine social network systems. These social network systems are usually characterized by the complex network structures and rich accompanying contextual information. Researchers are - creasingly interested in addressing a wide range of challenges residing in these disparate social network systems, including identifying common static topol- ical properties and dynamic properties during the formation and evolution of these social networks, and how contextual information can help in analyzing the pertaining socialnetworks.These issues haveimportant implications oncom- nitydiscovery,anomalydetection,trendpredictionandcanenhanceapplications in multiple domains such as information retrieval, recommendation systems, - curity and so on.
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Author 2 Giles, C. Lee.
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Author 2 Smith, Marc.
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Author 2 Yen, John.
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Author 2 Zhang, Haizheng.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-642-14929-0
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Koha item type eBooks
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-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2010.
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Application software.
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-- Artificial intelligence.
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-- Database management.
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-- Information storage and retrieval systems.
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-- Data mining.
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-- Computer networks .
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-- Computer and Information Systems Applications.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
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-- Database Management.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information Storage and Retrieval.
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-- Data Mining and Knowledge Discovery.
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-- Computer Communication Networks.
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-- 2512-2029 ;
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