Quantifying Node Influence in Networks: Isolating-Betweenness Centrality for Improved Ranking
In complex networks, node impact refers to an individual node’s significance or influence within the structure. The evaluation of the impact of the nodes in information transmission, prevention of pandemics, and resilience applications of the ...
Mondikathi Chiranjeevi +4 more
doaj +1 more source
Network effects on scientific collaborations. [PDF]
BACKGROUND: The analysis of co-authorship network aims at exploring the impact of network structure on the outcome of scientific collaborations and research publications.
Shahadat Uddin +2 more
doaj +1 more source
ESG Decoupling Phenomenon: A Systematic and Bibliometric Analysis
ABSTRACT ESG decoupling, defined as the gap between a firm's ESG disclosures and its actual practices, poses a critical challenge to corporate sustainability. Using the PRISMA protocol, 451 articles were selected for a comprehensive bibliometric and systematic literature review to map the intellectual structure and thematic evolution of the research on
Maryam Laeeq +2 more
wiley +1 more source
A network perspective on the topological importance of enzymes and their phylogenetic conservation
Background A metabolic network is the sum of all chemical transformations or reactions in the cell, with the metabolites being interconnected by enzyme-catalyzed reactions. Many enzymes exist in numerous species while others occur only in a few.
Jordán Ferenc +5 more
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Board Networks and Corporate Carbon Emissions: A Cross‐Country Analysis of Causal Effects
ABSTRACT This study examines whether board networks influence corporate carbon emissions and the strategic pathways through which firms decarbonize. Using a sample of 1952 firms across 48 countries from 2003 to 2020, we employ dynamic stacked regressions that exploit exogenous carbon‐regulation shocks affecting firms connected through shared third ...
Katarzyna Burzynska +3 more
wiley +1 more source
An Adaptive Version of Brandes' Algorithm for Betweenness Centrality
Betweenness centrality-measuring how many shortest paths pass through a vertex-is one of the most important network analysis concepts for assessing the relative importance of a vertex. The well-known algorithm of Brandes [J. Math. Sociol.
Matthias Bentert +4 more
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From Text to Value: Measuring and Pricing Firm Climate Risk Exposure
ABSTRACT We examine how the prominence and tone of climate risk disclosures affect firm value and strategic climate positioning for large European nonfinancial companies. We developed a firm‐level climate risk exposure (CRE) index that assesses climate risks within corporate narratives across four EU categories: transition risk, physical risk ...
Stefano Dell'Atti +2 more
wiley +1 more source
From Centrality to Sustainability: How Connected Boards Shape Waste Management Outcomes
ABSTRACT The escalating climate crisis has elevated waste management from an operational concern to a critical issue of corporate governance. However, the role of board connectedness in shaping firms' waste practices remains largely unexplored. Drawing on resource dependency and social capital theories, this study examines how board network centrality ...
Irfan Haider Shakri +2 more
wiley +1 more source
From Waste to Value: A Bibliometric‐Systematic Review of Biogas and Biomethane Business Literature
ABSTRACT In response to escalating environmental challenges and the growing demand for sustainable energy solutions, the agri‐food sector is increasingly exploring business models grounded in circular economy (CE) principles based on the production of biogas and biomethane.
Silvia Cantele +3 more
wiley +1 more source
Percolation centrality: quantifying graph-theoretic impact of nodes during percolation in networks. [PDF]
A number of centrality measures are available to determine the relative importance of a node in a complex network, and betweenness is prominent among them.
Mahendra Piraveenan +2 more
doaj +1 more source

