A disparate literature hypothesizes what can broadly be described as the common‐enemy
effect: the fact that the interaction with a common enemy (formed by Nature, an individual, or …

Nodes in real-world networks are repeatedly observed to form dense clusters, often referred
to as communities. Methods to detect these groups of nodes usually maximize an objective …

Examining coauthorship networks is key to study scientific collaboration patterns and
structural characteristics of scientific communities. Here, we studied coauthorship networks …

This chapter is concerned with signed networks, where each link is associated with either a
positive (+) or negative sign (‐). Blockmodeling, as a way of partitioning social networks …

Permanent partitioning represents one of the more effective approaches for an innovative
management of water distribution networks (WDNs) because it allows simplification of the …

ABSTRACT Contemporary West European shantytowns have essentially been studied with
qualitative methods. Questions related to their ethnic structure, homophily and interaction …

This paper proposes a general framework to adjust water distribution network (WDN)
partitioning algorithms to account for the real positions of isolation valves. It is based on …

This paper proposes a method for detecting a network of bots in the recommendation system
based on graph clustering and analysis of user actions. This method is proposed to be used …

Centrality measures are used in network science to assess the centrality of vertices or the
position they occupy in a network. There are a large number of centrality measures …

딥페이크는 실제로 일어나지 않았지만 디지털화된 조작으로 가공된 극사실적 영상을 말하며,
인간의 특징을 그대로 따라할 수 있도록 훈련받아 일련의 정보샘플을 분석하는 신경망을 …