Predicting Web Page Status

38 Pages Posted: 30 Jul 2008 Last revised: 3 Sep 2010

See all articles by Gautam Pant

Gautam Pant

University of Iowa - Department of Business Analytics

Padmini Srinivasan

University of Iowa - Department of Management Sciences

Date Written: September 1, 2008

Abstract

The World Wide Web has become a key intermediary between producers and consumers of information. Web's linkage structure has been exploited by contemporary search engines to decrease the search cost for consumers while usually also rewarding the producers of higher status Web pages. In addition to influencing visibility and accessibility, in-links, as marks of recognition, accord status to a Web page. In this paper we show how Web page status may be predicted at least in part by page location and topic specificity. Moreover, we observe that the "philanthropic" contributions of a Web page - specifically, contributions of information brokerage function - are also good predictors of in-links. The observations are made in the presence of domain and topic-specific effects. Interestingly, all of these features that may predict status are "local" to a given Web page and within the control of the owner/author of the page. This is in contrast to the "global" nature of Web linkage-based metrics such as in-link count that are derived as a result of downloading and indexing billions of pages. Because the linkage structure of the Web affects browsing, crawling, and retrieval, our results have implications for vertical and general search, business intelligence, and content management.

Keywords: web search, search engine marketing, web visibility, status, influence

Suggested Citation

Pant, Gautam and Srinivasan, Padmini, Predicting Web Page Status (September 1, 2008). Available at SSRN: https://ssrn.com/abstract=1186962 or http://dx.doi.org/10.2139/ssrn.1186962

Gautam Pant (Contact Author)

University of Iowa - Department of Business Analytics ( email )

IA
United States

Padmini Srinivasan

University of Iowa - Department of Management Sciences ( email )

IA
United States

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
255
Abstract Views
2,052
Rank
218,188
PlumX Metrics