33 citations · 60 across the 11 of their papers we have counts for
13 papers
Do simulated agents move like real people?
Timothy LaRock, Chen Zhang, Jürgen Hackl
Human mobility is increasingly represented using synthetic populations that offer scalable alternatives when individual-level observations are unavailable or sensitive. Yet validat…
The nestedness of higher-order networks
Timothy LaRock, Yanting Zhang, Jean-Gabriel Young +3
In contrast to dyadic interactions, higher-order interactions may contain one another, with subgroups naturally embedded within larger groups. These containment patterns arise empi…
Rethinking the Sioux Falls Network: Insights from Path-Driven Higher-Order Network Analysis
Chen Zhang, Timothy LaRock, Alben Rome Bagabaldo +1
Benchmark scenarios are widely used in transportation research to evaluate routing algorithms, simulate infrastructure interventions, and test new technologies under controlled con…
Exploring the Non-uniqueness of Node Co-occurrence Matrices of Hypergraphs
Timothy LaRock, Renaud Lambiotte
Hypergraphs extend traditional networks by capturing multi-way or group interactions. Given the complexity of hypergraph data and the wide range of methodology available for pairwi…
Detection of anomalous spatio-temporal patterns of app traffic in response to catastrophic events
Sofia Medina, Shazia'Ayn Babul, Rohit Sahasrabuddhe +3
In this work, we uncover patterns of usage mobile phone applications and information spread in response to perturbations caused by unprecedented events. We focus on categorizing pa…
Encapsulation Structure and Dynamics in Hypergraphs
Timothy LaRock, Renaud Lambiotte
Hypergraphs have emerged as a powerful modeling framework to represent systems with multiway interactions, that is systems where interactions may involve an arbitrary number of age…
Non-Markovian paths and cycles in NFT trades
Haaroon Yousaf, Naomi A. Arnold, Renaud Lambiotte +5
Recent years have witnessed the availability of richer and richer datasets in a variety of domains, where signals often have a multi-modal nature, blending temporal, relational and…
Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic
Brennan Klein, Timothy LaRock, Stefan McCabe +13
The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and…
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…
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…
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…
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…
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…