804 citations · 5.1k across the 113 of their papers we have counts for
6 papers · 1 filter
Using Proximity to Predict Activity in Social Networks
Kristina Lerman, Suradej Intagorn, Jeon-Hyung Kang +1
The structure of a social network contains information useful for predicting its evolution. Nodes that are "close" in some sense are more likely to become linked in the future than…
Leveraging User Diversity to Harvest Knowledge on the Social Web
Jeon-Hyung Kang, Kristina Lerman
Social web users are a very diverse group with varying interests, levels of expertise, enthusiasm, and expressiveness. As a result, the quality of content and annotations they crea…
Wrapper Maintenance: A Machine Learning Approach
C. A. Knoblock, K. Lerman, S. N. Minton
The proliferation of online information sources has led to an increased use of wrappers for extracting data from Web sources. While most of the previous research has focused on qui…
Entropy-based Classification of 'Retweeting' Activity on Twitter
Rumi Ghosh, Tawan Surachawala, Kristina Lerman
Twitter is used for a variety of reasons, including information dissemination, marketing, political organizing and to spread propaganda, spamming, promotion, conversations, and so…
What Stops Social Epidemics?
Greg Ver Steeg, Rumi Ghosh, Kristina Lerman
Theoretical progress in understanding the dynamics of spreading processes on graphs suggests the existence of an epidemic threshold below which no epidemics form and above which ep…
Non-Conservative Diffusion and its Application to Social Network Analysis
Rumi Ghosh, Kristina Lerman, Tawan Surachawala +2
The random walk is fundamental to modeling dynamic processes on networks. Metrics based on the random walk have been used in many applications from image processing to Web page ran…