Categorization of mergers and acquisitions using transaction network features
Sign Up to like & getrecommendations! Published in 2021 at "Research in International Business and Finance"
DOI: 10.1016/j.ribaf.2021.101421
Abstract: Abstract Mergers and acquisitions (M&A) have occurred among tens of thousands of companies. Categorization of M&A is important to both corporate strategy and academic research. Previous research largely uses case studies and econometric data analysis… read more here.
Keywords: transaction networks; mergers acquisitions; transaction; categorization ... See more keywords
Finding groups with maximum betweenness centrality
Sign Up to like & getrecommendations! Published in 2017 at "Optimization Methods and Software"
DOI: 10.1080/10556788.2016.1167892
Abstract: In this paper we consider the problem of identifying the most influential (or central) group of nodes (of some predefined size) in a network. Such a group has the largest value of betweenness centrality or… read more here.
Keywords: betweenness centrality; finding groups; group; maximum betweenness ... See more keywords
Effectiveness of hierarchical medical system policy: an interrupted time series analysis of a pilot scheme in China
Sign Up to like & getrecommendations! Published in 2023 at "Health Policy and Planning"
DOI: 10.1093/heapol/czad018
Abstract: Abstract The Chinese healthcare system faces a dilemma between its hospital-centric approach to healthcare delivery and a rapidly ageing population that requires strong primary care. To improve system efficiency and continuity of care, the Hierarchical… read more here.
Keywords: system; time; centrality; betweenness centrality ... See more keywords
An Efficient Approximation of Betweenness Centrality for Uncertain Graphs
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DOI: 10.1109/access.2019.2915974
Abstract: Betweenness centrality measures the centrality of nodes and edges in a graph based on the concept of shortest paths. However, such a definition is unsuitable for uncertain graphs due to the uncertainty of links. In… read more here.
Keywords: uncertain graphs; centrality; centrality uncertain; shortest paths ... See more keywords
A spatial interaction incorporated betweenness centrality measure
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0268203
Abstract: Betweenness centrality (BC) is widely used to identify critical nodes in a network by exploring the ability of all nodes to act as intermediaries for information exchange. However, one of its assumptions, i.e., the contributions… read more here.
Keywords: interaction incorporated; spatial interaction; network; betweenness centrality ... See more keywords