Social network analysis for personalized characterization and risk assessment of alcohol use disorders in adolescents using semantic technologies

Bení­tez-Andrades, José Alberto; García-Rodríguez, Isaías; Benavides, Carmen; Aláiz‐Moretón, Héctor; Rodríguez‐González, Alejandro

doi:10.1016/j.future.2020.01.002

Cited by 15 publications

(10 citation statements)

References 66 publications

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“…SNA uses several metrics to describe the network, which can be categorized into two groups including overall structure (e.g. density and diameter) and individual actor metrics (degree, betweenness, closeness, and eigenvector centralities) [31]. Concisely, the network density defines a measure of network cohesion, and diameter gives an idea of the length of the extended geodesics of the network [31].…”

Section: Second Stepmentioning

confidence: 99%

“…density and diameter) and individual actor metrics (degree, betweenness, closeness, and eigenvector centralities) [31]. Concisely, the network density defines a measure of network cohesion, and diameter gives an idea of the length of the extended geodesics of the network [31]. Centrality measures try to determine the stakeholders and discover those who have central roles in the network [32].…”

Section: Second Stepmentioning

confidence: 99%

“…Stakeholders with high betweenness centrality, have a strategic role. Finally, eigenvector centrality demonstrates the importance and influence of a stakeholder in accordance with its connections with central actors [25,31,33]. To conduct the SNA, collected data were organized in Excel Template and then analyzed and visualized using the Gephi version 0.9.2 software [34].…”

Section: Second Stepmentioning

confidence: 99%

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Financing of physical rehabilitation services in Iran: a stakeholder and social network analysis

Shahabi

Teymourlouy

Shabaninejad

et al. 2020

BMC Health Serv Res

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Background: Inadequate financing is one of the major barriers in securing equitable access to high-quality physical rehabilitation services, without imposing financial hardship. Despite this, no sufficient attention has been paid to physical rehabilitation services and no specific financial resources have been allocated to such services in many countries including Iran. Owing to the fact that effective decision-and policy-making requires identifying possible stakeholders and actors and their characteristics, in the current study a stakeholder analysis and also a social network analysis (SNA) was conducted to identify the potential stakeholders and also their characteristics involved in physical rehabilitation financing (PRF)-related policies in Iran. Methods: The present study was performed in two phases. Firstly, semi-structured interviews and relevant document review were conducted to identify the stakeholders. Then, the position, power, interest, and influence of each stakeholder were determined using a web-based questionnaire. Secondly, SNA approach was utilized to map and visualize the interactions among stakeholders. Results: The findings showed that there are different stakeholders in PRF-related decision-and policy-making processes in Iran. In addition, the position, power, interest, and influence level of the identified stakeholders were varied. Moreover, although some stakeholders, like the Ministry of Health and the parliament have the highest level of power and position, they lack sufficient interest to participate in PRF-policies. Furthermore, SNA demonstrated that social network density was low, which indicates the lack of proper collaboration and interaction among the stakeholders. Conclusion: As many powerful and influential stakeholders had low interest levels to warrant participate in the FPRrelated decision-and policy-making processes in Iran, employing careful and effective strategies, that is ongoing negotiations, receiving advocacy, and making senior managers and policy-makers aware can be helpful.

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Section: Second Stepmentioning

confidence: 99%

Section: Second Stepmentioning

confidence: 99%

Section: Second Stepmentioning

confidence: 99%

See 1 more Smart Citation

Financing of physical rehabilitation services in Iran: a stakeholder and social network analysis

Shahabi

Teymourlouy

Shabaninejad

et al. 2020

BMC Health Serv Res

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“…Hummon and Dereian (1989) took the lead in analysing the citation network of DNA papers through the main path. Since main path analysis can find citation relations in social networks, an increasing number of scholars use it to explore the development path and knowledge evolution processes in various fields (Ben ıtez-Andrades et al, 2020;Djomba & Zaletel-Kragelj, 2016;Lu & Liu, 2013).…”

Section: Introductionmentioning

confidence: 99%

Dynamic changes and multi-dimensional evolution of portfolio optimization

Zhou

Zhu

Chen

et al. 2021

Economic Research-Ekonomska Istraživanja

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Although there has been an increasing number of studies investigate portfolio optimization from different perspectives, few attempts could be found that focus on the development trend and hotspots of this research area. Therefore, it motivates us to comprehensively investigate the development of portfolio optimization research and give some deep insights into this knowledge domain. In this paper, some bibliometric methods are utilized to analyse the status quo and emerging trends of portfolio optimization research on various aspects such as authors, countries and journals. Besides, 'theories', 'models' and 'algorithms', especially heuristic algorithms are identified as the hotspots in the given periods. Furthermore, the evolutionary analysis tends to presents the dynamic changes of the cutting-edge concepts of this research area in the time dimension. It is found that more portfolio optimization studies were at an exploration stage from mean-variance analysis to consideration of multiple constraints. However, heuristic algorithms have become the driving force of portfolio optimization research in recent years. Multidisciplinary analyses and applications are also the main trends of portfolio optimization research. By analysing the dynamic changes and multi-dimensional evolution in recent decades, we contribute to presenting some deep insights of the portfolio optimization research directly, which assists researchers especially beginners to comprehensively learn this research field.

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“…Network analysis has become an important tool to study systems composed of interacting agents, such as proteins or human societies [1,2,3,4,5]. One of the key ideas in social sciences is the one that we, human beings, are embedded by our own social nature in a complex web of social relations and interactions.…”

Section: Introductionmentioning

confidence: 99%

Community detection and social network analysis based on the Italian wars of the 15th century

Fumanal-Idocin

Alonso‐Betanzos

Cordón

et al. 2020

Future Generation Computer Systems

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In this contribution we study social network modelling by using human interaction as a basis. To do so, we propose a new set of functions, affinities, designed to capture the nature of the local interactions among each pair of actors in a network. By using these functions, we develop a new community detection algorithm, the Borgia Clustering, where communities naturally arise from the multi-agent interaction in the network. We also discuss the effects of size and scale for communities regarding this case, as well as how we cope with the additional complexity present when big communities arise. Finally, we compare our community detection solution with other representative algorithms, finding favourable results.

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Social network analysis for personalized characterization and risk assessment of alcohol use disorders in adolescents using semantic technologies

Cited by 15 publications

References 66 publications

Financing of physical rehabilitation services in Iran: a stakeholder and social network analysis

Financing of physical rehabilitation services in Iran: a stakeholder and social network analysis

Dynamic changes and multi-dimensional evolution of portfolio optimization

Community detection and social network analysis based on the Italian wars of the 15th century

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