scholarly journals Potencialidades del análisis de redes para el estudio de las migraciones

2020 ◽  
pp. 179
Author(s):  
Verónica De Miguel Luken
Keyword(s):  
Network Analysis ◽  
Data Collection ◽  
Methodological Approach ◽  
The Other ◽  
Statistical Techniques ◽  
Network Data ◽  
Capital Social ◽  
Redes Sociales ◽  
Migration Networks ◽  
Dual Perspective

El presente trabajo examina las principales aportaciones realizadas a la investigación de la inmigración extranjera aplicando el análisis de redes sociales, fundamentalmente en el contexto español. Para ello, se emplea una doble perspectiva. Por un lado, se atiende a la aproximación metodológica particular utilizada en la recogida de datos y en las técnicas estadísticas usadas para su análisis. Por otro, se ubican los trabajos en los ejes temáticos principales identificados. Previamente, se contextualiza la cuestión en el debate más general sobre redes migratorias y capital social, se presentan algunos conceptos sobre el análisis de redes y se proporcionan algunas claves sobre la recogida de datos reticulares y las técnicas más apropiadas para su explotación. Por último, se sugieren las fortalezas de esta perspectiva metodológica y las limitaciones a las que se enfrenta su utilización.In this paper, the main contributions to the research on foreign migration through the application of social network analysis are examined, especially for the Spanish context. A dual perspective is used. On one hand, the focus is on the specific methodological approach applied for the data collection and the statistical techniques chosen for the analysis. On the other hand, the works are classified according to a proposed thematic division. Previously, the topic is framed in the more general debate about migration networks and social capital, some concepts on network analysis are introduced and some key facts about network data collection and the appropriate techniques for their exploitation are discussed. Finally, the strengths and the limitations of this methodological approach are suggested.

scholarly journals Scientific collaboration network ammong Brazilian universities

2013 ◽  
Vol 6 (1) ◽  
Author(s):  
Maria Isabel Escalona-Fernandez ◽  
Antonio Pulgarin-Guerrero ◽  
Ely Francina Tannuri de Oliveira ◽  
Maria Cláudia Cabrini Gracio
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Scientific Collaboration ◽  
Methodological Approach ◽  
Scientific Production ◽  
Collaboration Network ◽  
Network Data ◽  
New Knowledge

This paper analyses the scientific collaboration network formed by the Brazilian universities that investigate in dentistry area. The constructed network is based on the published documents in the Scopus (Elsevier) database covering a period of 10 (ten) years. It is used social network analysis as the best methodological approach to visualize the capacity for collaboration, dissemination and transmission of new knowledge among universities. Cohesion and density of the collaboration network is analyzed, as well as the centrality of the universities as key-actors and the occurrence of subgroups within the network. Data were analyzed using the software UCINET and NetDraw. The number of documents published by each university was used as an indicator of its scientific production.

Using Social Network Analysis (SNA) to Study Members and Activists of Political Parties

2020 ◽  
Vol 147-148 (1-2) ◽  
pp. 13-48
Author(s):  
Emilien Paulis
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Political Parties ◽  
Political Party ◽  
Methodological Approach ◽  
Network Data ◽  
Party Member ◽  
Party Membership ◽  
Local Party

This article explores the development of my PhD dissertation’s methodological approach, based on Social Network Analysis (SNA), or the collection and analysis of network data, in order to deal with political parties and their members (party membership). I extensively relied on this alternative, growing methodological background in three extents. First (1), SNA was used to analyze bibliographic references related to my dissertation topic, i.e. party membership studies, and identify the most central authors, thereby illustrating the literature review while describing their key contributions. Second (2), SNA was employed to collect and analyze network data likely to better grasp how interpersonal networks affect the probability for a random citizen to turn into party member, assuming that social influence matters in the process of joining a political party. Third (3), I further capitalized on SNA to deal with the question of party activism and why some members become active whereas others remain passive, arguing theoretically and showing empirically that part of the answer lies in members’ position within their local party branch’s social network. Each of these three applications is discussed in the light of the main methodological developments, the empirical findings and their interpretation, while shortcomings and research opportunities are more systematically highlighted at the end.

scholarly journals Estimating Contextual Effects from Ego Network Data

2020 ◽  
Vol 50 (1) ◽  
pp. 215-275
Author(s):  
Jeffrey A. Smith ◽  
G. Robin Gauthier
Keyword(s):  
Mental Health ◽  
Social Context ◽  
Network Analysis ◽  
Data Collection ◽  
Regression Models ◽  
Hierarchical Linear Model ◽  
Contextual Effects ◽  
Network Data ◽  
Data Sets ◽  
The Relationship

Network concepts are often used to characterize the features of a social context. For example, past work has asked if individuals in more socially cohesive neighborhoods have better mental health outcomes. Despite the ubiquity of use, it is relatively rare for contextual studies to use the methods of network analysis. This is the case, in part, because network data are difficult to collect, requiring information on all ties between all actors. In this article the authors ask whether it is possible to avoid such heavy data collection while still retaining the best features of a contextual-network study. The basic idea is to apply network sampling to the problem of contextual models, in which one uses sampled ego network data to infer the network features of each context and then uses the inferred network features as second-level predictors in a hierarchical linear model. The authors test the validity of this idea in the case of network cohesion. Using two complete data sets as a test, the authors find that ego network data are sufficient to capture the relationship between cohesion and important outcomes, such as attachment and deviance. The hope, going forward, is that researchers will find it easier to incorporate holistic network measures into traditional regression models.

scholarly journals CAPITAL SOCIAL E TURISMO SOLIDÁRIO: A INCOESÃO DA COESÃO NA POLÍTICA DE DESENVOLVIMENTO SUSTENTÁVEL PARA O SERRO

GEOgraphia ◽  
2021 ◽  
Vol 23 (51) ◽  
Author(s):  
Weber Soares ◽  
Maria Flávia Pires Barbosa
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Sustainable Development ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Collective Action ◽  
Methodological Framework ◽  
Capital Social ◽  
Redes Sociales

Decorrente do tipo de capital social que consiste em laços de reciprocidade e de confiança mútua entre atores envolvidos na ação coletiva, a cooperação constitui a chave mestra do desenvolvimento sustentável para os formuladores do Programa Turismo Solidário – PTS. Se para a plena realização dos objetivos desse Programa, fazia-se necessário um estoque satisfatório de capital social circulante nas redes sociais das localidades serranas que foram por ele contempladas, então, analisar as conexões entre a perspectiva relacional do capital social e o problema da ação coletiva sumariza a ordem de preocupações que leva à consecução deste artigo. O recurso ao arcabouço teórico e metodológico da Análise de Redes Sociais para lançar luz sobre essas conexões mostrou que a concepção e a forma pela qual o PTS foi implantado em São Gonçalo do Rio das Pedras, Milho Verde e Capivari responderam pela incoesão das redes sociais do turismo e, com isso, pelo insucesso do PTS. Palavras-chave: Capital Social. Ação Coletiva. Turismo Solidário. Desenvolvimento Sustentável. Análise de Redes Sociais. SOCIAL CAPITAL AND SOLIDARITY TOURISM: THE DISCOHESION OF COHESION IN THE SUSTAINABLE DEVELOPMENT POLICY FOR SERRO Abstract: For the creators of the Programa Turismo Solidário – PTS (Solidarity Tourism Program), cooperation is the master key of sustainable development. It results from a kind of social capital that consists of bonds of mutual trust among the actors involved in the collective action. Therefore, the complete fulfillment of the program's objectives demanded a sufficient supply of social capital circulating through the social networks of the localities in the Serro area included in the PTS. This paper aims to analyze the connections between the relational perspective of social capital and the problem of collective action in this sociospatial context in Minas Gerais. Resorting to the theoretical and methodological framework of Social Network Resorting to the theoretical and methodological framework of Social Network Analysis in order to clarify these connections allowed us to see that the formulation of PTS and how it was implemented in São Gonçalo do Rio das Pedras, Milho Verde e Capivari contributed to the lack of cohesion in the tourism social networks and, as a result, the failure of PTS. Keywords: Social Capital. Collective Action. Solidarity Tourism. Sustainable Development. Social Network Analysis. CAPITAL SOCIAL Y TURISMO SOLIDARIO: LA DESCOHESIÓN DE LA COHESIÓN EN LA POLÍTICA DE DESARROLLO SOSTENIBLE PARA SERRO Resumen: Para los creadores del Programa Turismo Solidario – PTS, la cooperación es la llave maestra del desarrollo sostenible. Ella es el resultado de una especie de capital social que consiste en lazos de confianza mutua entre los actores involucrados en la acción colectiva. Por tanto, el pleno cumplimiento de los objetivos del programa exigía una oferta suficiente de capital social circulando a través de las redes sociales de las localidades del Serro incluidas en el PTS. Este artículo tiene como objetivo analizar las conexiones entre la perspectiva relacional del capital social y el problema de la acción colectiva en este contexto socioespacial en Minas Gerais. Recurrir al marco teórico y metodológico del Análisis de Redes Sociales para aclarar estas conexiones nos permitió ver que la formulación del PTS y cómo se implementó en São Gonçalo do Rio das Pedras, Milho Verde e Capivari contribuyeron a la descohesión en las redes sociales turísticas y, como consecuencia, al fracaso del PTS. Palabras clave: Capital social. Acción colectiva. Turismo solidario. Desarrollo sostenible. Análisis de redes sociales

Introduzione alla personal network analysis e alle statistiche tie churn attraverso l'uso di E-NET

2012 ◽  
pp. 27-54
Author(s):  
Daniel S. Halgin ◽  
Stephen P. Borgatti
Keyword(s):  
Network Analysis ◽  
Data Collection ◽  
Computer Program ◽  
Size Composition ◽  
Network Data ◽  
Personal Network ◽  
Network Change ◽  
Composition And Structure

In this article we review foundational aspects of personal network analysis (also called Ego network analysis) and introduce E-NET (Borgatti 2006), a computer program designed specifically for personal network analysis. We present the basic steps for personal network data collection and use E-NET to review key measures of personal network analysis such as size, composition and structure. We close by introducing longitudinal measures of personal network change, including tie churn, brokerage elasticity, and triad change. We argue that these measures can help reveal change patterns consistent with tie formation strategies that would otherwise be missed using more traditional analytic approaches.

scholarly journals Citizen participation in Twitter: Anti-vaccine controversies in times of COVID-19

Comunicar ◽  
2021 ◽  
Vol 29 (69) ◽  
Author(s):  
Rafael Carrasco-Polaino ◽  
Miguel-Ángel Martín-Cárdaba ◽  
Ernesto Villar-Cirujano
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Citizen Participation ◽  
Language Processing ◽  
The Other ◽  
Citizen Engagement ◽  
Redes Sociales ◽  
Other Hand ◽  
First Time

Twitter has transformed into one of the main platforms for citizen engagement today. However, even though previous studies have focused on opinions about vaccines in general or about specific vaccines, opinions towards COVID-19 vaccines on Twitter have not been researched to date. The objective of this research is, by using social network analysis and language processing tools, to examine the degree to which the opinions and interactions present on Twitter are favorable or unfavorable towards the main COVID-19 vaccines. In addition, the relevance of each of the vaccines is studied, as well as their level of controversy. Likewise, the present study investigates, for the first time, the conversation from different perspectives including the content and also the participants, by analyzing in detail the verified accounts and using tools for the detection of bots. In global terms, the results from verified accounts show a moderate favorability towards the COVID-19 vaccines, the most accepted being those of Oxford-AstraZeneca, Pfizer, Moderna, and Sputnik V. On the other hand, the vaccine that attracts the most attention is the Russian Sputnik V, which is also the most controversial, behind those developed in China. Finally, verified users are shown to be relevant agents in the conversation due to their greater capacity for dissemination and reach, while the presence of bots is practically non-existent. Twitter se ha transformado en una de las principales plataformas de participación ciudadana hoy en día. Sin embargo, aun cuando estudios similares previos se han centrado en la opinión sobre las vacunas en general o sobre otras vacunas específicas, hasta la fecha no se han investigado las opiniones hacia las vacunas contra la COVID-19 en Twitter. El objetivo de esta investigación es, mediante el uso de herramientas de análisis de redes sociales y de herramientas de procesamiento del lenguaje, examinar el grado en el que las opiniones e interacciones presentes en Twitter son favorables o no hacia las principales vacunas de la COVID-19. Además, se estudia la relevancia de cada una de las principales vacunas, así como su nivel de controversia (polemicidad). Igualmente, el presente estudio investiga por primera vez la conversación no solo desde el punto de vista del contenido, sino también de los participantes que la integran, analizando en detalle las cuentas verificadas y empleando herramientas para la detección de bots. En términos globales, los resultados muestran una moderada favorabilidad hacia las vacunas de la COVID-19, siendo las más aceptadas las de Oxford-AstraZeneca, Pfizer y Moderna, y la de Sputnik V en el caso concreto de las cuentas verificadas. Por otro lado, la vacuna que más atención acapara es la rusa Sputnik V, que es además la más polémica por detrás de las de origen chino. Por último, los usuarios verificados se muestran como agentes relevantes de la conversación por su mayor capacidad de difusión y alcance, mientras que la presencia de bots es prácticamente inexistente.

scholarly journals Young People and Social Networks: Motivations and Preferred Uses

Comunicar ◽  
2013 ◽  
Vol 20 (40) ◽  
pp. 15-23 ◽  
Author(s):  
Pilar Colás-Bravo ◽  
Teresa González-Ramírez ◽  
Juan de-Pablos-Pons
Keyword(s):  
Gender Differences ◽  
Social Networks ◽  
Young People ◽  
The Other ◽  
Active Citizenship ◽  
Capital Social ◽  
Redes Sociales ◽  
Frequency Of Use ◽  
Participatory Training ◽  
Capital Development

This article presents the results of a study on the use of social networks among young Andalusians. The main objectives are to know the uses of social networks, their frequency and the motives behind their use. A questionnaire was used to collect the data. The sample includes 1487 adolescents in Andalusia. The results show that young people, for the most part, consistently used social networks. We identified two motivational aspects in this use: one social and the other psychological. There are not significant gender differences in frequency of use, but rather in the motivations for access. Boys tend to be the more emotional type, while girls were dominated by a more relational motivation. The results show similarities with international researches in environments that vary greatly from the present work. The conclusions suggest the need for future lines of work. This study also identifies the implications of social network uses for active citizenship and participatory training and social integration. These results are also important for the enrichment of dimensions such as social capital development and education. Este artículo presenta los resultados de un estudio sobre la utilización que hacen los jóvenes andaluces de las redes sociales. Los objetivos fundamentales son: conocer los usos preferentes de las redes sociales, su frecuencia y los motivos que les impulsan a su utilización. Además se estudia si existen diferencias de sexo tanto en la frecuencia como en las motivaciones de uso. Se aplica un cuestionario para la recogida de datos. La muestra es de 1.487 adolescentes de Andalucía. Los resultados muestran que los jóvenes en su mayoría usan de manera habitual las redes sociales y se identifican dos vertientes motivacionales en su uso: una social y otra psicológica. No se hallan diferencias significativas entre sexos en cuanto a frecuencia de uso, pero sí en las motivaciones para su acceso. Las de los chicos son de tipo emocional, mientras que en las chicas predomina la motivación de carácter relacional. Los resultados obtenidos muestran coincidencias con investigaciones internacionales realizadas en contextos muy diferentes al presente estudio. En la discusión de resultados se plantean futuras líneas de trabajo, a la vez que se identifican implicaciones que los usos de las redes sociales tienen para la formación e integración social de una ciudadanía activa y participativa, así como para el enriquecimiento de dimensiones como el desarrollo del capital social y la educación.

Relational Concepts, Measurement, and Data Collection

2016 ◽  
Author(s):  
Justin H. Gross ◽  
Joshua M. Jansa
Keyword(s):  
Missing Data ◽  
Network Analysis ◽  
Data Collection ◽  
Network Measurement ◽  
Concept Development ◽  
Network Data ◽  
Measurement Models ◽  
Common Practices ◽  
Relational Concepts ◽  
Methodological Problems

Political phenomena are inherently relational, so it is natural that network analysis should come to play an important role in the study of politics. And yet relational data present special practical and methodological problems. The network data scholars would like to collect are often incomplete or altogether inaccessible. It is tempting to take whatever data are available and treat these as a proxy for the desired variables. This chapter reviews the most prominent relational concepts in political science and the operationalization strategies and data collection techniques typically employed. It then examines common practices for handling missing data and identifies recent innovations in this area. Finally, the chapter recommends that political scientists give more consideration to the concept development and measurement phases of research design and proposes possible directions for the development of network measurement models.

ANALISIS KOHESI DAN KOHORENSI DALAM WACANA BERITA KEMISKINAN DAN RAMADHAN DALAM KORAN REPUBLIKA

2019 ◽  
Vol 1 (01) ◽  
pp. 1-6
Author(s):  
Resdianto Permata Raharjo ◽  
Ahmad Sudali
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
The Other ◽  
Coherence Analysis ◽  
Lexical Cohesion ◽  
News Discourse ◽  
The Relationship

This journal explains the results of cohesion and coherence analysis in the current new news discourse in Indonesia published by Republika, Thursday 16 May 2019. The research uses descriptive methods by describing and explaining the results of the analysis found in the study. This research is a type of qualitative research because the results tend to be released and descriptive. the technique used in this study is to take data, data collection is done in two ways, namely listening and taking notes. This study found the results of the use of cohesion and and the use of coherence. Cohesion is the integration between the parts that are characterized by the use of language elements. Cohesion is divided into two parts, lexical cohesion and grammatical cohesion. Grammatical cohesion includes conjunction, reference, release, substitution. Lexical cohesion includes antonyms, synonyms, repetitions, metonymy, and hypomini. Whereas, cohorence is the relationship between elements one with the other elements so that it has an integrated meaning.  

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