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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…
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Keywords:
transaction networks;
mergers acquisitions;
transaction;
categorization ... See more keywords
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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…
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Keywords:
betweenness centrality;
finding groups;
group;
maximum betweenness ... See more keywords
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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…
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Keywords:
system;
time;
centrality;
betweenness centrality ... See more keywords
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Published in 2019 at "IEEE Access"
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…
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Keywords:
uncertain graphs;
centrality;
centrality uncertain;
shortest paths ... See more keywords
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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…
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Keywords:
interaction incorporated;
spatial interaction;
network;
betweenness centrality ... See more keywords
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Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14104197
Abstract: Modularity and resilience are fundamental properties of brain network organization and function. The interplay of these network characteristics is integral to understanding brain vulnerability, network efficiency, and neurocognitive disorders. One potential methodology to explore brain…
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Keywords:
methodology;
brain;
modularity;
betweenness centrality ... See more keywords