activity
20142020
most citedRepresenting higher-order dependencies in networks

220 citations · 282 across the 8 of their papers we have counts for

collaborators

8 papers

q-bio.PE2020

Network analysis of ballast-mediated species transfer reveals important introduction and dispersal patterns in the Arctic

Mandana Saebi, Jian Xu, Salvatore R. Curasi +3

Rapid climate change has wide-ranging implications for the Arctic region, including sea ice loss, increased geopolitical attention, and expanding economic activity, including a dra…

cs.SI2017★ 1 cited

Representing Big Data as Networks: New Methods and Insights

Jian Xu

Our world produces massive data every day; they exist in diverse forms, from pairwise data and matrix to time series and trajectories. Meanwhile, we have access to the versatile to…

cs.SI2017★ 46 cited

Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection

Mandana Saebi, Jian Xu, Lance M. Kaplan +2

Complex systems, represented as dynamic networks, comprise of components that influence each other via direct and/or indirect interactions. Recent research has shown the importance…

cs.SI2017

Mining Features Associated with Effective Tweets

Jian Xu, Nitesh Chawla

What tweet features are associated with higher effectiveness in tweets? Through the mining of 122 million engagements of 2.5 million original tweets, we present a systematic review…

cs.GR2017★ 9 cited

HoNVis: Visualizing and Exploring Higher-Order Networks

Jun Tao, Jian Xu, Chaoli Wang +1

Unlike the conventional first-order network (FoN), the higher-order network (HoN) provides a more accurate description of transitions by creating additional nodes to encode higher-…

cs.SI2016★ 2 cited

Structural Diversity and Homophily: A Study Across More than One Hundred Big Networks

Yuxiao Dong, Reid A. Johnson, Jian Xu +1

A widely recognized organizing principle of networks is structural homophily, which suggests that people with more common neighbors are more likely to connect with each other. Howe…

cs.SI2015★ 220 cited

Representing higher-order dependencies in networks

Jian Xu, Thanuka L. Wickramarathne, Nitesh V. Chawla

To ensure the correctness of network analysis methods, the network (as the input) has to be a sufficiently accurate representation of the underlying data. However, when representin…

cs.SI2014★ 4 cited

Patterns of Ship-borne Species Spread: A Clustering Approach for Risk Assessment and Management of Non-indigenous Species Spread

J Xu, TL Wickramarathne, EK Grey +5

The spread of non-indigenous species (NIS) through the global shipping network (GSN) has enormous ecological and economic cost throughout the world. Previous attempts at quantifyin…