Mining the web - discovering knowledge from hypertext data

By Soumen Chakrabarti. 2003

299 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b7a67b76f2ff0b0068bb07c65ad3852caff0877d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Lillian Lee
2. Bo Pang
3. Cristian Danescu-Niculescu-Mizil
4. Richard Socher
5. Zhe Gan
6. Jure Leskovec
7. Chunyuan Li
8. Duyu Tang

Citations in the corpus

• Echoes of power: language effects and power differences in social interaction (2011, background): “features. There has been extensive work on using structural features, rather than language, to infer notions of “importance” in networks, both in the literature on social networks [16] and on the Web [8]. Recent work has also studied the inference of status from on-line social network features [23, ”
• Web page classification: Features and algorithms (2009, background): “Then it considers each page in turn and reevaluates its class probabilities in light of the latest estimates of the class probabilities of its neighbors” (Chakrabarti 2003).”