LEADER 04889nam 22008055 450 001 9910484538903321 005 20251226202318.0 010 $a3-642-14929-4 024 7 $a10.1007/978-3-642-14929-0 035 $a(CKB)2670000000036366 035 $a(SSID)ssj0000446263 035 $a(PQKBManifestationID)11262647 035 $a(PQKBTitleCode)TC0000446263 035 $a(PQKBWorkID)10491746 035 $a(PQKB)10142785 035 $a(DE-He213)978-3-642-14929-0 035 $a(MiAaPQ)EBC3065627 035 $a(PPN)149017987 035 $a(EXLCZ)992670000000036366 100 $a20100808d2010 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Social Network Mining and Analysis $eSecond International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008. Revised Selected Papers /$fedited by C. Lee Giles, Marc Smith, John Yen, Haizheng Zhang 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (XI, 131 p. 47 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v5498 300 $a" ... co-locates with the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)"--Pref. 311 08$a3-642-14928-6 320 $aIncludes bibliographical references and index. 327 $aLeveraging 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. 330 $aThis year?s volume of Advances in Social Network Analysis contains the p- ceedings for the Second International Workshop on Social Network Analysis (SNAKDD 2008). The annual workshop co-locates with the ACM SIGKDD - ternational Conference on Knowledge Discovery and Data Mining (KDD). The second SNAKDD workshop was held with KDD 2008 and received more than 32 submissions on social network mining and analysis topics. We accepted 11 regular papers and 8 short papers. Seven of the papers are included in this volume. In recent years, social network research has advanced signi?cantly, thanks to the prevalence of the online social websites and instant messaging systems as well as the availability of a variety of large-scale o?ine social network systems. These social network systems are usually characterized by the complex network structures and rich accompanying contextual information. Researchers are - creasingly interested in addressing a wide range of challenges residing in these disparate social network systems, including identifying common static topol- ical properties and dynamic properties during the formation and evolution of these social networks, and how contextual information can help in analyzing the pertaining socialnetworks.These issues haveimportant implications oncom- nitydiscovery,anomalydetection,trendpredictionandcanenhanceapplications in multiple domains such as information retrieval, recommendation systems, - curity and so on. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v5498 606 $aApplication software 606 $aArtificial intelligence 606 $aDatabase management 606 $aInformation storage and retrieval systems 606 $aData mining 606 $aComputer networks 606 $aComputer and Information Systems Applications 606 $aArtificial Intelligence 606 $aDatabase Management 606 $aInformation Storage and Retrieval 606 $aData Mining and Knowledge Discovery 606 $aComputer Communication Networks 615 0$aApplication software. 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aInformation storage and retrieval systems. 615 0$aData mining. 615 0$aComputer networks. 615 14$aComputer and Information Systems Applications. 615 24$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer Communication Networks. 676 $a005.7 701 $aGiles$b C. Lee$065741 712 12$aInternational Conference on Knowledge Discovery & Data Mining$d(14th :$f2008 :$eLas Vegas, Nev.) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484538903321 996 $aAdvances in social network mining and analysis$94192639 997 $aUNINA