activity
20192022
most citedA Path-based Approach to Analyzing the Global Liner Shipping Network

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2022

Sequential Motifs in Observed Walks

Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad

The structure of complex networks can be characterized by counting and analyzing network motifs. Motifs are small subgraphs that occur repeatedly in a network, such as triangles or…

physics.soc-ph20211 cited

A Path-based Approach to Analyzing the Global Liner Shipping Network

Timothy LaRock, Mengqiao Xu, Tina Eliassi-Rad

The maritime shipping network is the backbone of global trade. Data about the movement of cargo through this network comes in various forms, from ship-level Automatic Identificatio…

cs.SI2020

netrd: A library for network reconstruction and graph distances

Stefan McCabe, Leo Torres, Timothy LaRock +4

Over the last two decades, alongside the increased availability of large network datasets, we have witnessed the rapid rise of network science. For many systems, however, the data…

cs.LG2020

Understanding the Limitations of Network Online Learning

Timothy LaRock, Timothy Sakharov, Sahely Bhadra +1

Studies of networked phenomena, such as interactions in online social media, often rely on incomplete data, either because these phenomena are partially observed, or because the da…

cs.SI2019

HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks

Timothy LaRock, Vahan Nanumyan, Ingo Scholtes +3

The unsupervised detection of anomalies in time series data has important applications in user behavioral modeling, fraud detection, and cybersecurity. Anomaly detection has, in fa…