Advances in Social Network Mining and Analysis: Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008. Revised Selected Papers
This year’s volume of Advances in Social Network Analysis contains the proceedings 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 significantly, thanks to the prevalence of the online social websites and instant messaging systems as well as the availability of a variety of large-scale offine 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- nity discovery, anomaly detection, trend prediction and can enhance applications in multiple domains such as information retrieval, recommendation systems, - curity and so on.
1111360858
Advances in Social Network Mining and Analysis: Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008. Revised Selected Papers
This year’s volume of Advances in Social Network Analysis contains the proceedings 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 significantly, thanks to the prevalence of the online social websites and instant messaging systems as well as the availability of a variety of large-scale offine 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- nity discovery, anomaly detection, trend prediction and can enhance applications in multiple domains such as information retrieval, recommendation systems, - curity and so on.
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Advances in Social Network Mining and Analysis: Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008. Revised Selected Papers

Advances in Social Network Mining and Analysis: Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008. Revised Selected Papers

Advances in Social Network Mining and Analysis: Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008. Revised Selected Papers

Advances in Social Network Mining and Analysis: Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008. Revised Selected Papers

Overview

This year’s volume of Advances in Social Network Analysis contains the proceedings 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 significantly, thanks to the prevalence of the online social websites and instant messaging systems as well as the availability of a variety of large-scale offine 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- nity discovery, anomaly detection, trend prediction and can enhance applications in multiple domains such as information retrieval, recommendation systems, - curity and so on.

Product Details

ISBN-13: 9783642149283
Publisher: Springer Berlin Heidelberg
Publication date: 10/14/2010
Series: Lecture Notes in Computer Science , #5498
Edition description: 2010
Pages: 131
Product dimensions: 5.90(w) x 9.30(h) x 0.40(d)

Table of Contents

Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study Brian Gallagher Tina Eliassi-Rad 1

Community Detection Using a Measure of Global Influence Rumi Ghosh Kristina Lerman 20

Communication Dynamics of Blog Networks Mark Goldberg Stephen Kelley Malik Magdon-Ismail Konstantin Mertsalov William (Al) Wallace 36

Finding Spread Blockers in Dynamic Networks Habiba Yintao Yu Tanya Y. Berger-Wolf Jared Saia 55

Social Network Mining with Nonparametric Relational Models Zhao Xu Volker Tresp Achim Rettinger Kristian Kersting 77

Using Friendship Ties and Family Circles for Link Prediction Elena Zheleva Lise Getoor Jennifer Golbeck Ugur Kuter 97

Information Theoretic Criteria for Community Detection L. Karl Branting 114

Author Index 131

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