Predicting Web Page Status
Gautam Pant, Padmini Srinivasan
Information Systems Research
- 주제네트워크 사회적 영향 · 소셜미디어
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.
불러오는 중…
불러오는 중…
불러오는 중…
불러오는 중…
- 저널Information Systems Research · 21(2) · 345–364
- 토픽Web visibility and informetrics · Information Systems
- DOI10.1287/isre.1080.0231
- 저자Gautam Pant, Padmini Srinivasan