Constructing, organizing, and visualizing collections of topically related Web resources

Abstract

For many purposes, the Web page is too small a unit of interaction and analysis. Web sites are structured multimedia documents consisting of many pages, and users often are interested in obtaining and evaluating entire collections of topically related sites. Once such a collection is obtained, users face the challenge of exploring, comprehending, and organizing the items. We report four innovations that address these user needs: (1) we replaced the Web page with the Web site as the basic unit of interaction and analysis; (2) we defined a new information structure, the clan graph, that groups together sets of related sites; (3) we augment the representation of a site with a site profile, information about site structure and content that helps inform user evaluation of a site; and (4) we invented a new graph visualization, the auditorium visualization, that reveals important structural and content properties of sites within a clan graph. Detailed analysis and user studies document the utility of this approach. The clan graph construction algorithm tends to filter out irrelevant sites and discover additional relevant items. The auditorium visualization, augmented with drill-down capabilities to explore site profile data, helps users to find high-quality sites as well as sites that serve a particular function.

PIPE: Web personalization by partial evaluation

“…These transformations are grounded in the original tradeoff analysis and the specific techniques are inspired by relevant metaphors or technology [64]. Here, we can explore a range of personalization metaphors (e.g., the auditorium metaphor of Terveen et al [73] that partitions the problem domain into spheres of interest, the footprints idea of Wexelblat and Maes [78] that gathers 'collaborative' features implicitly) with web site designers and users, and demonstrate how PIPE can be used to simplify a complex information model. Focus will be first on basic functionality -the kinds of tasks that a personalization system should support rather than the details of user interaction.…”

“…Transformation' [56], non-destructive vs. destructive, 'public transportation vs. hot-rods' [68] have become widely accepted. In addition, combinations of various approaches are also used [8,21,32,55,73]. Advances in data management [25] and web site management [24] have fueled many of these developments.…”

Close communities in social networks: boroughs and 2-clubs

“…Occasionally a k-club happens to be a kclique as well, in which special case it is called a k-clan. 4 Recently k-clubs have found interest and applications in many network oriented disciplines, such as telecommunication (Balasundaram and Butenko 2006), biology (Balasundaram et al 2005), genetics (Pasupuleti 2008), forensic data mining (Memon and Larsen 2006), web search (Terveen et al 1999), graph mining (Cavique et al 2009), and language processing (Miao and Berleant 2004;Gutiérrez et al 2011). …”

<title>Creating a semantic-web interface with virtual reality</title>

“…Virtual Reality is the ideal medium to properly represent the connectivity found among typical search results [5]. We describe the VR-Net application that identifies and displays clusters of information using existing search engines.…”