Zobrazeno 1 - 10
of 22
pro vyhledávání: '"LaRock, Timothy"'
Autor:
Medina, Sofia, Babul, Shazia'Ayn, Sahasrabuddhe, Rohit, LaRock, Timothy, Lambiotte, Renaud, Pedreschi, Nicola
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 patterns of response in both space and time and tracking their relaxatio
Externí odkaz:
http://arxiv.org/abs/2409.01355
Autor:
LaRock, Timothy, Lambiotte, Renaud
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 agents. Here we explore the properties of real-world hypergraphs, focusin
Externí odkaz:
http://arxiv.org/abs/2307.04613
Autor:
Yousaf, Haaroon, Arnold, Naomi A., Lambiotte, Renaud, LaRock, Timothy, Clegg, Richard G., Zhong, Peijie, Alnaimi, Alhamza, Steer, Ben
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 semantic information. Within this context, several works have shown t
Externí odkaz:
http://arxiv.org/abs/2303.11181
Autor:
Klein, Brennan, LaRock, Timothy, McCabe, Stefan, Torres, Leo, Friedland, Lisa, Kos, Maciej, Privitera, Filippo, Lake, Brennan, Kraemer, Moritz U. G., Brownstein, John S., Gonzalez, Richard, Lazer, David, Eliassi-Rad, Tina, Scarpino, Samuel V., Vespignani, Alessandro, Chinazzi, Matteo
The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and endogenous (spontaneous reaction to infection risks) origin. Here, we
Externí odkaz:
http://arxiv.org/abs/2212.08873
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 chains. Recent work has generalized motifs to temporal and dynamic ne
Externí odkaz:
http://arxiv.org/abs/2112.05642
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 Identification System (AIS) data, to aggregated bilateral trade volume statistics.
Externí odkaz:
http://arxiv.org/abs/2110.11925
Autor:
McCabe, Stefan, Torres, Leo, LaRock, Timothy, Haque, Syed Arefinul, Yang, Chia-Hung, Hartle, Harrison, Klein, Brennan
Publikováno v:
Journal of Open Source Software, 2021
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 we have access to is not a direct description of the underlying networ
Externí odkaz:
http://arxiv.org/abs/2010.16019
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 data is too large or expensive to acquire all at once. Analysis of incom
Externí odkaz:
http://arxiv.org/abs/2001.07607
Autor:
LaRock, Timothy, Nanumyan, Vahan, Scholtes, Ingo, Casiraghi, Giona, Eliassi-Rad, Tina, Schweitzer, Frank
Publikováno v:
Proceedings of the 2020 SIAM International Conference on Data Mining (SDM) (2020) 460 - 468
The unsupervised detection of anomalies in time series data has important applications in user behavioral modeling, fraud detection, and cybersecurity. Anomaly detection has, in fact, been extensively studied in categorical sequences. However, we oft
Externí odkaz:
http://arxiv.org/abs/1905.10580
Autor:
Klein, Brennan, LaRock, Timothy, McCabe, Stefan, Torres, Leo, Friedland, Lisa, Kos, Maciej, Privitera, Filippo, Lake, Brennan, Kraemer, Moritz U. G., Brownstein, John S., Gonzalez, Richard, Lazer, David, Eliassi-Rad, Tina, Scarpino, Samuel V., Vespignani, Alessandro, Chinazzi, Matteo
Publikováno v:
PLoS Digital Health; 2/6/2024, Vol. 3 Issue 2, p1-19, 19p
