Title :
Mapping a Local Web Domain
Author :
Ke, Weimao ; Simas, Tiago
Author_Institution :
Indiana Univ. Bloomington, Bloomington
Abstract :
In this study, we crawled a local Web domain, created its graph representation, and analyzed the network structure. The results of network analysis revealed local scale-free patterns consistent with previous research on the Web. To discover topical communities of the local domain, link- based co-citation analysis was performed to measure pair-wise similarities. Based on the co-citation graph, a visualization was produced to map the networked domain semantically. All of this offers a way to investigate a local Web structure and to make it more intuitively understandable.
Keywords :
Internet; citation analysis; data visualisation; graph theory; co-citation graph representation; data visualization; local Web domain mapping; Cognitive science; Crawlers; Frequency; HTML; Information analysis; Information science; Intelligent networks; Libraries; Uniform resource locators; Visualization;
Conference_Titel :
Information Visualization, 2007. IV '07. 11th International Conference
Conference_Location :
Zurich
Print_ISBN :
0-7695-2900-3