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20042026
most citedMixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

270 citations · 1.4k across the 97 of their papers we have counts for

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Showing cs.SIShow all

7 papers · 1 filter

cs.SI2019★ 1 cited

Identifying and Analyzing Cryptocurrency Manipulations in Social Media

Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Fred Morstatter +2

Interest surrounding cryptocurrencies, digital or virtual currencies that are used as a medium for financial transactions, has grown tremendously in recent years. The anonymity sur…

cs.SI2015★ 22 cited

Latent Space Model for Multi-Modal Social Data

Yoon-Sik Cho, Greg Ver Steeg, Emilio Ferrara +1

With the emergence of social networking services, researchers enjoy the increasing availability of large-scale heterogenous datasets capturing online user interactions and behavior…

cs.SI2014★ 259 cited

Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization

Linhong Zhu, Dong Guo, Junming Yin +2

We propose a scalable temporal latent space model for link prediction in dynamic social networks, where the goal is to predict links over time based on a sequence of previous graph…

cs.SI2012★ 8 cited

Statistical Tests for Contagion in Observational Social Network Studies

Greg Ver Steeg, Aram Galstyan

Current tests for contagion in social network studies are vulnerable to the confounding effects of latent homophily (i.e., ties form preferentially between individuals with similar…

cs.SI2012

Information-Theoretic Measures of Influence Based on Content Dynamics

Greg Ver Steeg, Aram Galstyan

The fundamental building block of social influence is for one person to elicit a response in another. Researchers measuring a "response" in social media typically depend either on…

cs.SI2011★ 14 cited

Co-evolution of Selection and Influence in Social Networks

Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan

Many networks are complex dynamical systems, where both attributes of nodes and topology of the network (link structure) can change with time. We propose a model of co-evolving net…