[HTML][HTML] Using optimal foraging theory to infer how groups make collective decisions

GH Davis, MC Crofoot, DR Farine - Trends in Ecology & Evolution, 2022 - cell.com
Studying animal behavior as collective phenomena is a powerful tool for understanding
social processes, including group coordination and decision-making. However, linking …

Learning to represent the evolution of dynamic graphs with recurrent models

A Taheri, K Gimpel, T Berger-Wolf - … proceedings of the 2019 world wide …, 2019 - dl.acm.org
Graph representation learning for static graphs is a well studied topic. Recently, a few
studies have focused on learning temporal information in addition to the topology of a graph …

Variable-lag granger causality and transfer entropy for time series analysis

C Amornbunchornvej, E Zheleva… - ACM Transactions on …, 2021 - dl.acm.org
Granger causality is a fundamental technique for causal inference in time series data,
commonly used in the social and biological sciences. Typical operationalizations of Granger …

Observing leadership as behavior in teams and herds–An ethological approach to shared leadership research

AS Cook, A Zill, B Meyer - The Leadership Quarterly, 2020 - Elsevier
Abstract Both Shared Leadership Theory and evolutionary theories of leadership emphasize
the role of team-level patterns of influence on team or group success. Yet, most of the …

Variable-lag granger causality for time series analysis

C Amornbunchornvej, E Zheleva… - … Conference on Data …, 2019 - ieeexplore.ieee.org
Granger causality is a fundamental technique for causal inference in time series data,
commonly used in the social and biological sciences. Typical operationalizations of Granger …

Predictive temporal embedding of dynamic graphs

A Taheri, T Berger-Wolf - Proceedings of the 2019 IEEE/ACM …, 2019 - dl.acm.org
In recent years, substantial effort has been devoted to learning to represent the static graphs
and their substructures. A few studies explored utilizing temporal information available in a …

[HTML][HTML] An investigation of the impact of COVID-19 on health-related cryptocurrencies using time-varying parameters and impulse responses

T Daglis - Healthcare Analytics, 2023 - Elsevier
This study examines the impact of COVID-19 on health-related cryptocurrencies. More
precisely, we use the variable-Lag time-series (VLT) causality to test whether the pandemic …

The dynamic relationship of cryptocurrencies with supply chain and logistics stocks–the impact of COVID-19

T Daglis - Journal of Economic Studies, 2022 - emerald.com
Purpose The COVID-19 pandemic is known to have affected the logistics and supply chains;
however, there is no adequate empirical evidence to prove in which way it has affected the …

Predicting influential users in online social network groups

A De Salve, P Mori, B Guidi, L Ricci… - ACM Transactions on …, 2021 - dl.acm.org
The widespread adoption of Online Social Networks (OSNs), the ever-increasing amount of
information produced by their users, and the corresponding capacity to influence markets …

Trajectory is not enough: Hidden following detection

D Xu, R Hu, Z Xiong, Z Wang, L Luo, D Li - Proceedings of the 29th ACM …, 2021 - dl.acm.org
In outdoor crimes such as robbery and kidnapping, suspects generally secretly follow their
victims in public places and then look for opportunities to commit crimes. Video anomaly …