SK Raghavan Unnithan, B Kannan… - International Journal …, 2014 - Wiley Online Library
There are several centrality measures that have been introduced and studied for real‐world networks. They account for the different vertex characteristics that permit them to be ranked …
Social network analysis (SNA) is a well-established methodology for investigating networks through the use of mathematical formulations abstracted from graph theory. It has been …
Social network analysis (SNA) is a technique to study behavioral dynamics within a social group. In SNA, it is an open question whether it is possible to characterize animal-level …
L Li, R Zhu, S Wu, W Ding, M Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Despite significant advancements in Multi-Agent Deep Reinforcement Learning (MADRL) approaches for Traffic Light Control (TLC), effectively coordinating agents in diverse traffic …
In traditional information technology project portfolio management (ITPPM), managers often pay more attention to the optimization of portfolio selection in the initial stage. In fact, during …
Learning a proper distance for clustering from prior knowledge falls into the realm of semisupervised fuzzy clustering. Although most existing learning methods take prior …
L Geng, K Zhang - ISPRS International Journal of Geo-Information, 2022 - mdpi.com
Urban planners have been long interested in understanding how urban structure and activities are mutually influenced. Human mobility and economic activities naturally drive the …
IH El-Adaway, I Abotaleb, E Vechan - Transportation planning and …, 2018 - Taylor & Francis
Traffic congestion negatively impacts our society. Most of the traditional transportation planning techniques–though effective–require rigorous amounts of data and analysis which …
A road network can be represented as a weighted directed graph with the nodes being the traffic intersections, the edges being the road segments, and the weights being some …