Social Network Analysis: a Practical Case Study

Kuz, Antonieta; Falco, Mariana; Giandini, Roxana Silvia

doi:10.13053/cys-20-1-2321

Cited by 27 publications

(25 citation statements)

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“…The research team chose betweenness centrality in preference to other centrality parameters due to its greater effectiveness in ranking and identifying nodes with the strongest influence on transfer between nodes (Divya & Reghuraj, 2014). In network analysis of small worlds as densely interconnected as that of this study, betweenness centrality is more effective for pinpointing the central nodes with the strongest direct and indirect influence on all the other nodes in the network (Divya & Reghuraj, 2014; Kuz et al, 2016).…”

Section: Methodsmentioning

confidence: 96%

Unravelling social barriers in ecological restoration decision‐making: A network analysis approach

et al. 2023

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Ecological restoration (ER hereafter) is situated within a complex socio‐political landscape, characterized by competing interests that can hinder effective decision‐making and implementation of ER initiatives. Despite its importance, these social factors influencing ER decision‐making processes have not been comprehensively examined or interconnected in a systemic manner. This research aims to identify and systematically analyse the social barriers that obstruct ER decision‐making processes in the case of the Valencian Autonomous Region, Spain. Employing a qualitative methodological approach, this study utilized causal maps and network analysis to create a systemic representation of social barriers impacting ER, as identified by the key actors involved in the decision‐making process. The findings establish a relational model of social barriers that influence ER decision‐making. Central nodes of the process, as revealed by this network analysis, include the lack of private sector interest in ER initiatives, the excessive electoral motivation of political decisions and the inefficient civil service structure. This research contributes to a better understanding of the socio‐political dimensions of ER and provides valuable insights for overcoming barriers in the decision‐making process.

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Section: Methodsmentioning

confidence: 96%

Unravelling social barriers in ecological restoration decision‐making: A network analysis approach

et al. 2023

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“…The web 2.0 or social web allows the connection of communities with common interests, which facilitates bidirectional interactions between users, interactions that are the basis of social networks (García et al, 2022). The term social network originated before the emergence of the internet and the platforms observed today (Kuz et al, 2016). Initially, the term social network referred to the ties existing in kinship groups, mainly in families that form a network where all family members, parents, their relatives and friends are found (Hariri & Anbari, 2022).…”

Section: Social Networkingmentioning

confidence: 99%

Digital transformation in the tourism sector: the key role of social networks

Morelos-Gómez,

Cardona-Arbeláez,

Lora-Guzmán

2024

rev. investig. desarro. innov

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The research seeks to establish the use of social networks in companies in the tourism sector, especially to identify the most popular networks, their type and the role they play in these companies. The problem was approached through a systematic literature review, focused on the use of social networks in tourism companies. The Scopus database was consulted, initially finding 179 articles, using the keywords: social media, tourism and hotels. After applying the exclusion criteria, 15 articles were identified. The findings indicate that the Tripadvisor network, specialized in the tourism sector, is the most used, followed by Facebook and Twitter, which are generalist networks. It is concluded that social networks have transformed the way in which users in the hotel sector interact, research and make decisions about their accommodations, consulting the opinions and previous experiences of other users.

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“…Basados en los aportes de (Tabassum et al, 2018;Kuz et al, 2016;Brandes, 2001;Freeman, 1977;1979;Shaw, 1954), algunas de las métricas para el análisis de redes sociales más importantes son: Grado de entrada: representa el número de interacciones que recibe un nodo de otros Comercialización de banano en la Unión Europea: interacción proveedores e importadores mediante redes sociales actores de la red, o sea el recibo de banano de un país desde otros. Grado de salida: son las interacciones que surgen del nodo hacia otros actores en la red, o sea el envío de banano hacia otros países desde el país analizado Grado con pesos: el valor promedio de la interacción, medido por el valor económico de cada transacción.…”

Section: Referente Teóricounclassified

Comercialización de banano en la Unión Europea: interacción proveedores e importadores mediante redes sociales

Solis Rivera,

Solórzano Thompson,

Paniagua Molina

2023

e-Agronegocios

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Debido a la importancia del mercado de la Unión Europea en la comercialización del banano y la relevancia que tiene el sector bananero en los países productores como Costa Rica, resulta de interés estudiar la estructura del mercado de banano en la Unión Europea. El objetivo de ésta investigación fue caracterizar los flujos comerciales de banano en el mercado europeo por medio del análisis de redes sociales. La investigación fue desarrollada en el periodo agosto-diciembre del año 2021. Se construyó una base de datos de comercio internacional de banano, la cual fue analizada mediante el enfoque de redes sociales. El principal algoritmo de distribución utilizado fue Yifan Hu Proporcional. Adicionalmente, se utilizaron métricas complementarias como grado de entrada, grado de salida, grado con pesos, centralidad de cercanía, centralidad de intermediación, centralidad de vector propio y longitud media del camino. Se identificaron cinco perfiles de relaciones comerciales, lo cual permitió dimensionar la estructura de mercado del banano en la Unión Europea y las oportunidades potenciales de interacción entre socios comerciales. El comportamiento de los flujos de comercialización de banano en el mercado de la Unión Europea, se caracterizó por su alta complejidad debido que evidenció grados de interacción heterogéneos entre países socios, abastecimiento global de la fruta y comercio intrarregional. Se recomienda ampliar la investigación con estudios posteriores de carácter longitudinal que permitan identificar cambios estructurales a través del tiempo.

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Social Network Analysis: a Practical Case Study

Cited by 27 publications

References 0 publications

Unravelling social barriers in ecological restoration decision‐making: A network analysis approach

Unravelling social barriers in ecological restoration decision‐making: A network analysis approach

Digital transformation in the tourism sector: the key role of social networks

Comercialización de banano en la Unión Europea: interacción proveedores e importadores mediante redes sociales

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