This paper studies unevenness in network properties on the social Semantic Web. First, we propose a two-step methodology for processing and analyzing social network data from the Semantic Web, based on the SPARQL query language. After a brief introduction to the notion of unevenness, the methodology is applied to examine unevenness in network properties of real-world data. Comparing Lorenz curv...

In recent years, there has been an explosion in the number of Social Web sites which allow the creation of knowledge through simplified user contributions via blogs, wikis, and the deployment of online social networks. As more Social Web CES IN COMPUTERS, VOL. 76 121 Copyright © 2009 Elsevier Inc. 65-2458/DOI: 10.1016/S0065-2458(09)01004-3 All rights reserved. 122 S. KINSELLA ET AL. sites form ...

Community detection methods from complex network theory are applied to a subset of the Myspace artist network to identify groups of similar artists. Methods based on the greedy optimization of modularity and random walks are used. In a second iteration, inter-artist audio-based similarity scores are used as input to enhance these community detection methods. The resulting community structures a...

0957-4174/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.eswa.2008.07.077 * Corresponding author. Tel.: +886 3 5712121; fax: E-mail addresses: [email protected] (Y.-M. (C.-W. Chen). Weblog is a good paradigm of online social network which constitutes web-based regularly updated journals with reverse chronological sequences of dated entries, usually with blogrolls on the sidebars, allo...

Overview Terminology: • Link Analysis: analysis of graph structures. • Web Structure Mining: analysis of the web graph. • Social Network Analysis: analysis graphs representing relationships between humans (social networks).

Social networks have known an important development since the appearance of web 2.0 platforms. This leads to a growing need for social network mining and social network analysis (SNA) methods and tools in order to provide deeper analysis of the network but also to detect communities in view of various applications. For this reason, a lot of works have focused on graph characterization or cluste...

BACKGROUND Using the Internet may prove useful in providing nutrition counselling and social support for patients with chronic diseases. OBJECTIVE We evaluated the impact of Web-based nutrition counselling and social support on social support measures, anthropometry, blood pressure, and serum cholesterol in patients at increased cardiovascular risk. METHODS We conducted a randomized control...

Social networks have garnered much attention recently. Several studies have been undertaken to extract social networks among people, companies, and so on automatically from the web. For use in social sciences, social networks enable analyses of the performance and valuation of companies. This paper describes an attempt to learn ranking of entities from a social network that has been mined from ...

Despite the high “hype to reality” ratio, Web 2.0 [37] represents a fundamental change in the Web. Originally conceived as a technology for linking together documents [8], the Web has morphed into a rich network of distributed services, data, and semantic relationships, glued together via social participation [35]. Social applications such as blogs and wikis and social sites such as facebook an...