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20112023
most citedRole Discovery in Networks

222 citations · 768 across the 61 of their papers we have counts for

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Showing 2019Show all

9 papers · 1 filter

cs.DS2019

Approximate Maximum Matching in Random Streams

Alireza Farhadi, MohammadTaghi Hajiaghayi, Tung Mai +2

In this paper, we study the problem of finding a maximum matching in the semi-streaming model when edges arrive in a random order. In the semi-streaming model, an algorithm receive…

cs.DS2019★ 2 cited

Temporal Network Sampling

Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi

Temporal networks representing a stream of timestamped edges are seemingly ubiquitous in the real-world. However, the massive size and continuous nature of these networks make them…

cs.SI2019★ 79 cited

On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications

Ryan A. Rossi, Di Jin, Sungchul Kim +3

Structural roles define sets of structurally similar nodes that are more similar to nodes inside the set than outside, whereas communities define sets of nodes with more connection…

cs.SI2019★ 2 cited

Linear-time Hierarchical Community Detection

Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh +1

Community detection in graphs has many important and fundamental applications including in distributed systems, compression, image segmentation, divide-and-conquer graph algorithms…

cs.LG2019★ 6 cited

Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs

Ryan A. Rossi, Anup Rao, Sungchul Kim +3

In this paper, we introduce the notion of motif closure and describe higher-order ranking and link prediction methods based on the notion of closing higher-order network motifs. Th…

cs.SI2019★ 1 cited

node2bits: Compact Time- and Attribute-aware Node Representations for User Stitching

Di Jin, Mark Heimann, Ryan Rossi +1

Identity stitching, the task of identifying and matching various online references (e.g., sessions over different devices and timespans) to the same user in real-world web services…