55 citations · 81 across the 5 of their papers we have counts for
5 papers
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…
Fast Data in the Era of Big Data: Twitter's Real-Time Related Query Suggestion Architecture
Gilad Mishne, Jeff Dalton, Zhenghua Li +2
We present the architecture behind Twitter's real-time related query suggestion and spelling correction service. Although these tasks have received much attention in the web search…
Pricing strategies for viral marketing on Social Networks
David Arthur, Rajeev Motwani, Aneesh Sharma +1
We study the use of viral marketing strategies on social networks to maximize revenue from the sale of a single product. We propose a model in which the decision of a buyer to buy…