Social network analysis provides a broad and complex perspective on animal sociality that
is widely applicable to almost any species. Recent applications demonstrate the utility of …

The increasing miniaturisation of animal-tracking technology has made it possible to gather
exceptionally detailed machine-sensed data on the social dynamics of almost entire …

We propose a methodology for extracting social network structure from spatio-temporal
datasets that describe timestamped occurrences of individuals. Our approach identifies …

This research develops a systematic methodology to deeply mine tremendous volumes of
design logs (that are generated from Building Information Model (BIM) design process) to …

Damages in critical infrastructure occur abruptly, and disruptions evolve with time
dynamically. Understanding the situation of critical infrastructure disruptions is essential to …

Purpose–The purpose of this paper is to propose a framework for data mining (DM)‐based
anti‐money laundering (AML) research. Design/methodology/approach–First, suspicion …

Unhealthy food choice is an important driver of obesity, but research examining the
relationship of food choices and social influence has been limited. We sought to assess …

We investigated whether “hidden”(or unobserved) social networks were evident in a 2011
physical activity behavior change intervention in Belfast, Northern Ireland. Results showed …

As an increasing amount of crime takes on a digital aspect, law enforcement bodies must
tackle an online environment generating huge volumes of data. With manual inspections …

Recommender systems are increasingly touted as an indispensable service of many online
stores and websites. Most existing recommendation techniques typically rely on users' …