55 citations · 81 across the 6 of their papers we have counts for
4 papers · 1 filter
An Experimental Study of Structural Diversity in Social Networks
Jessica Su, Krishna Kamath, Aneesh Sharma +2
Several recent studies of online social networking platforms have found that adoption rates and engagement levels are positively correlated with structural diversity, the degree of…
Detecting Strong Ties Using Network Motifs
Rahmtin Rotabi, Krishna Kamath, Jon Kleinberg +1
Detecting strong ties among users in social and information networks is a fundamental operation that can improve performance on a multitude of personalization and ranking tasks. St…
Cascades: A view from Audience
Rahmtin Rotabi, Krishna Kamath, Jon Kleinberg +1
Cascades on online networks have been a popular subject of study in the past decade, and there is a considerable literature on phenomena such as diffusion mechanisms, virality, cas…
When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors
Aneesh Sharma, C. Seshadhri, Ashish Goel
Finding similar user pairs is a fundamental task in social networks, with numerous applications in ranking and personalization tasks such as link prediction and tie strength detect…