Discovering Sets of Key Players in Social Networks

Ortiz-Arroyo, Daniel

doi:10.1007/978-1-84882-229-0_2

Cited by 45 publications

(27 citation statements)

References 22 publications

(46 reference statements)

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“…The measure eigenvector centrality measures the levels of connectivity of a node's adjacent nodes, meaning that it captures which nodes have more connections to other higher scoring nodes [58]. Betweenness and eigenvector centrality evaluate the impact of a node on the structure or transmission of information within the network [58].…”

Section: Methodsmentioning

confidence: 99%

“…The second pathway outlines alternative non-financialised strategies and is centred around the Single Market, the Circular Economy agenda together with CSR policies. Betweenness and eigenvector centrality evaluate the impact of a node on the structure or transmission of information within the network [58].…”

Section: Analysis Of the Findings: Institutional Network Analysis Andmentioning

confidence: 99%

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Policy Hotspots for Sustainability: Changes in the EU Regulation of Sustainable Business and Finance

Ahlström

2019

Sustainability

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To ensure sustainable development, there is not only a need to re-think how the economic playing field is structured, but also the regulatory system that governs it. Business and finance law reforms will represent a crucial element of such a transition. However, little progress has been made to date. The European Union (EU) business and financial market law have been analysed systematically in relation to sustainability to a limited extent. This study aims to contribute to this gap through a reflexive governance analysis of corporate financialisation in the EU business and financial market law. I identify ‘policy hotspots’ with the potential to advance the EU’s commitment to sustainable development. I use a mixed-methods approach consisting of social network analysis and semi-structured interviews. This approach allows me to perform a structural analysis of the formal institutional processes, complemented by a qualitative analysis that unpacks the potential of the identified policy hotspots. I argue that the EU’s action has a path dependency created by two major policy approaches that have informed the EU business and financial market law. These approaches build on the shareholder maximisation norm and an action agenda on non-binding measures. This has contributed to internalising the corporate financialisation processes in EU policy-making and seems to limit the EU’s ability to create sustainable legislation. While these approaches may represent barriers, the findings show that the identified policy hotspots represent two tentative pathways of action for achieving sustainable business and finance in the EU: the Sustainable Finance initiative and the Single Market.

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Section: Methodsmentioning

confidence: 99%

Section: Analysis Of the Findings: Institutional Network Analysis Andmentioning

confidence: 99%

Policy Hotspots for Sustainability: Changes in the EU Regulation of Sustainable Business and Finance

Ahlström

2019

Sustainability

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“…In a directed network, where Environmental Hazards the direction of the relations is significant, the degree is divided into in-degree and out-degree centrality (Furht, 2010;Song & Miskel, 2005;Wasi, Usman, & Shoab, 2014) that indicated power and influence members in the network respectively (Abdel-Ghany, 2012;Ortiz-Arroyo, 2010). In-degree implies the number of coming-in connections or selections that a given actor receives.…”

Section: Degree Centralitymentioning

confidence: 99%

Applying social network analysis to evaluate preparedness through coordination and trust in emergency management

Mohammadfam

Bastani

Golmohamadi

et al. 2015

Environmental Hazards

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The purpose of this paper is to examine the status of the preparedness within emergency response team (ERT) in a refinery. Preparedness was investigated through trust and coordination relationships. Social network analysis as a quantitative approach was utilized in this research. To do this, social network analysis (SNA) indicators including density, degree, reciprocity and transitivity were utilized as a whole network. These indicators were calculated at the levels of first-line, supportive and whole teams. The required data were collected through structured interviews and were analyzed using UCINET 6.0 social network analysis program. The results of this study indicate that first-line teams can play a critical role in ERT, which is related to a higher level of SNA indicators and consequently the preparedness between team members can be easily achieved. In addition, the findings for the supportive teams revealed that they had relatively a low level of cohesion. However, the results of whole networks among all of teams had low level of cohesion that is a key challenge for performance of ERT. According to statistical results, there is a high correlation (82%) between trust and coordination networks. The finding of SNA provides a main opportunity for managers and planners to detect preparedness challenges based on coordination and trust ties among response teams of emergency management. This research suggests that fundamental efforts along with evaluation of the effectiveness of programs are needed to improve the presented situations and in order to optimize preparedness between response teams.

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“…One of the applications of the centrality measures used in SNA is to discover key players [8]. Key players are these nodes in the network that are considered "important" in regard to some criteria, such as number its connections, their role in diusing information, and their inuence on the network, among other criteria.…”

Section: Social Network Analysis Modulementioning

confidence: 99%