activity
20102024
most citedInteractive Sensing and Decision Making in Social Networks

31 citations · 76 across the 22 of their papers we have counts for

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10 papers · 1 filter

cs.SI2023

Fréchet Statistics Based Change Point Detection in Dynamic Social Networks

Rui Luo, Vikram Krishnamurthy

This paper proposes a method to detect change points in dynamic social networks using Fréchet statistics. We address two main questions: (1) what metric can quantify the distances…

cs.SI2023

Mutual Information Measure for Glass Ceiling Effect in Preferential Attachment Models

Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy

We propose a new way to measure inequalities such as the glass ceiling effect in attributed networks. Existing measures typically rely solely on node degree distribution or degree…

cs.SI2022

Estimating Exposure to Information on Social Networks

Buddhika Nettasinghe, Kowe Kadoma, Mor Naaman +1

This paper considers the problem of estimating exposure to information in a social network. Given a piece of information (e.g., a URL of a news article on Facebook, a hashtag on Tw…

cs.SI20169 cited

Engagement dynamics and sensitivity analysis of YouTube videos

Wiliam Hoiles, Anup Aprem, Vikram Krishnamurthy

YouTube, with millions of content creators, has become the preferred destination for watching videos online. Through the Partner program, YouTube allows content creators to monetiz…

cs.SI20163 cited

Opportunistic Advertisement Scheduling in Live Social Media: A Multiple Stopping Time POMDP Approach

Vikram Krishnamurthy, Anup Aprem, Sujay Bhatt

Live online social broadcasting services like YouTube Live and Twitch have steadily gained popularity due to improved bandwidth, ease of generating content and the ability to earn…

cs.SI20161 cited

Tracking Infection Diffusion in Social Networks: Filtering Algorithms and Threshold Bounds

Vikram Krishnamurthy, Sujay Bhatt, Tavis Pedersen

This paper deals with the statistical signal pro- cessing over graphs for tracking infection diffusion in social networks. Infection (or Information) diffusion is modeled using the…