A Grey Approach to Online Social Networks Analysis

Delcea, Camelia; Cotfas, Liviu‐Adrian; Paun, Ramona; Maracine, Virginia; Scarlat, Emil

doi:10.1007/978-3-662-49619-0_4

Cited by 3 publications

(3 citation statements)

References 23 publications

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“…The grey incidence analysis based on the grey systems theory is a common method that has been applied to social network analysis. The relationships among some factors in the online social network have been analyzed by calculating the degree of grey incidence, and a comparative study has been conducted in Romania and Thailand [60]. The grey incidence analysis can be used to describe the strength, size, and order of the relationships between factors by calculating the absolute degree, the relative degree, and the synthetic degree.…”

Section: Discussionmentioning

confidence: 99%

Toward a Stakeholder Perspective on Social Stability Risk of Large Hydraulic Engineering Projects in China: A Social Network Analysis

Huang

Zhang

et al. 2018

Sustainability

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In China, large hydraulic engineering projects have made a great contribution to social economic development; at the same time, they also lead to social risks that affect social stability. The pluralism of stakeholders in large hydraulic engineering projects and the complex interrelationship among stakeholders are the important factors affecting social stability risk. Previous studies of social stability risk have mainly focused on risk identification and risk assessment, without considering the relationships among stakeholders and their linkages of risks. For large hydraulic engineering projects, this paper investigated the relevant risk factors and their interrelationships through a literature review and interviews that represented stakeholder perspectives. The key social stability risk factors were identified based on social network analysis. A multi-channel project financial system, a perfect interest compensation mechanism, an efficient prevention mechanism of group events, and a complete project schedule control system were proposed to mitigate the social stability risks. This study combined stakeholder management with risk management by using social network analysis, providing reference for the social stability risk management of large engineering projects in China.

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Section: Discussionmentioning

confidence: 99%

Toward a Stakeholder Perspective on Social Stability Risk of Large Hydraulic Engineering Projects in China: A Social Network Analysis

Huang

Zhang

et al. 2018

Sustainability

View full text Add to dashboard Cite

show abstract

“…Assume that there are n objects to be clustered according to m cluster criteria into s different grey classes [26,30,31] A function noted f k j (·) is called the "whitenization" weight function of the kth subclass of the j criterion, with: i = 1, 2, . .…”

Section: Grey Clustering Analysismentioning

confidence: 99%

“…, m; 1 ≤ k ≤ s [26]. Consider a typical whitenization function as described by [25,30,31] with four turning points noted as:…”

Section: Grey Clustering Analysismentioning

confidence: 99%