804 citations · 5.1k across the 113 of their papers we have counts for
9 papers · 1 filter
A Framework for Quantitative Analysis of Cascades on Networks
Rumi Ghosh, Kristina Lerman
How does information flow in online social networks? How does the structure and size of the information cascade evolve in time? How can we efficiently mine the information containe…
A Probabilistic Approach for Learning Folksonomies from Structured Data
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach to…
A Parameterized Centrality Metric for Network Analysis
Rumi Ghosh, Kristina Lerman
A variety of metrics have been proposed to measure the relative importance of nodes in a network. One of these, alpha-centrality [Bonacich, 2001], measures the number of attenuated…
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users
Kristina Lerman, Tad Hogg
Popularity of content in social media is unequally distributed, with some items receiving a disproportionate share of attention from users. Predicting which newly-submitted items w…
Centrality Metric for Dynamic Networks
Kristina Lerman, Rumi Ghosh, Jeon Hyung Kang
Centrality is an important notion in network analysis and is used to measure the degree to which network structure contributes to the importance of a node in a network. While many…
Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
Many social Web sites allow users to annotate the content with descriptive metadata, such as tags, and more recently to organize content hierarchically. These types of structured m…
Integrating Structured Metadata with Relational Affinity Propagation
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
Structured and semi-structured data describing entities, taxonomies and ontologies appears in many domains. There is a huge interest in integrating structured information from mult…
Predicting Influential Users in Online Social Networks
Rumi Ghosh, Kristina Lerman
Who are the influential people in an online social network? The answer to this question depends not only on the structure of the network, but also on details of the dynamic process…
Using a Model of Social Dynamics to Predict Popularity of News
Kristina Lerman, Tad Hogg
Popularity of content in social media is unequally distributed, with some items receiving a disproportionate share of attention from users. Predicting which newly-submitted items w…