scholarly journals Social Networks and Transnational Social Fields: A Review of Quantitative and Mixed-Methods Approaches

2018 ◽  
Vol 54 (1) ◽  
pp. 177-204 ◽  
Author(s):  
Miranda Jessica Lubbers ◽  
Ashton M. Verdery ◽  
José Luis Molina
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Mixed Methods ◽  
Social Fields ◽  
Transnational Social Fields ◽  
Small Set ◽  
Individual Household ◽  
Place Of Origin ◽  
Definition Of ◽  
Transnational Social Networks

Scholars of transnationalism have argued that migrants create transnational social fields or spaces that connect their place of origin to destination areas. Despite the centrality that social networks have in the definition of these concepts, quantitative and mixed-methods social network research is rare in research on transnationalism. This situation, however, has changed over the last decade, and the transnational social networks of migrants have been studied with multiple methodologies. So far, this literature has not been systematically evaluated. With the aim of taking stock of this research, we classify the literature into four types of approaches (individual, household, dyad/small set, and community) and review their distinct contributions regarding the functioning of immigrants’ transnational networks, as well as the relative strengths and limitations of each approach. On the basis of our analysis, we discuss pathways for future investigation.

scholarly journals Determining the proximity of groups in social networks based on text analysis using big data

2019 ◽  
pp. 521-526
Author(s):  
A S Mukhin ◽  
I A Rytsarev ◽  
R A Paringer ◽  
A V Kupriyanov ◽  
D V Kirsh
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Social Network ◽  
Data Collection ◽  
Text Analysis ◽  
Software Tool ◽  
Text Data ◽  
The Social ◽  
Information Research ◽  
Definition Of

The article is devoted to the definition of such groups in social networks. The object of the study was selected data social network Vk. Text data was collected, processed and analyzed. To solve the problem of obtaining the necessary information, research was conducted in the field of optimization of data collection of the social network Vk. A software tool that provides the collection and subsequent processing of the necessary data from the specified resources has been developed. The existing algorithms of text analysis, mainly of large volume, were investigated and applied.

scholarly journals Structural Embeddedness in Transnational Social Fields: Personal Networks, International (Im)Mobilities, and the Migratory Capital Paradox

2021 ◽  
Vol 9 (4) ◽  
pp. 278-290 ◽  
Author(s):  
Renáta Hosnedlová ◽  
Ignacio Fradejas‐García ◽  
Miranda J. Lubbers ◽  
José Luis Molina
Keyword(s):  
High Mobility ◽  
International Mobility ◽  
Mobility Patterns ◽  
Personal Network ◽  
Structural Embeddedness ◽  
Transnational Mobility ◽  
Composition And Structure ◽  
Social Fields ◽  
Transnational Social Fields ◽  
Place Of Origin

In this article we focus on individuals’ structural embeddedness in transnational social fields (TSFs) and examine how this is related to patterns of international mobility. The main argument is that the structure of TSFs matters for (im)mobility trajectories, and thus all actors (migrants, non‐migrants, and returnees) need to be examined as a whole to obtain a deeper understanding of the role of social networks in processes of transnational mobility. Taking the case of Romanian migrants in Spain as a TSF connecting their place of origin (Dâmbovița in Romania) with their destination (Castelló in Spain), we analyze survey data for 303 migrants, non‐migrants, and returnees, sampled through an RDS‐like binational link‐tracing design. We then categorize types of personal network using an international mobility scale to assess the degree of structural embeddedness in the TSF. An important contribution is the rigorous operationalization of TSF and assessment of the level of migratory capital of each individual. Our results reveal that migratory capital is not always linked positively with high mobility patterns and that its role is strongly related to the overall composition and structure of the TSF.

scholarly journals Measuring transnational social fields through binational link-tracing sampling

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253042
Author(s):  
Marian-Gabriel Hâncean ◽  
Miranda Jessica Lubbers ◽  
José Luis Molina
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Sampling Design ◽  
Personal Networks ◽  
Future Research ◽  
Structured Interviews ◽  
Face To Face ◽  
Social Fields ◽  
Transnational Social Fields ◽  
Layered Complex

We advance bi-national link-tracing sampling design, an innovative data collection methodology for sampling from so-called “transnational social fields”, i.e. transnational networks embedding migrants, returned migrants and non-migrants. This paper describes our contributions to this methodology and its empirical implementation, and evaluates the features of the resulting networks (sample), with the aim to guide future research. We performed 303 face-to-face structured interviews on sociodemographic variables, migration trajectories and personal networks of people living in a Romanian migration sending community (Dâmbovița) and in a migration receiving Spanish town (Castellón). Inter-connecting the personal networks, we built a multi-layered complex network structure embedding 4,855 nominated people, 5,477 directed ties (nominations) and 2,540 edges. Results indicate that the link-tracing nomination patterns are affected by sex and residence homophily. Our research contributes to the emerging efforts of applying social network analysis to the study of international migration.

Analysis of Social Network Mutate in Start-Up Enterprises Evolution

2011 ◽  
Vol 181-182 ◽  
pp. 9-13
Author(s):  
Min Wang ◽  
Hua Tao Peng
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Environmental Changes ◽  
Network Evolution ◽  
Reverse Direction ◽  
Start Up ◽  
Mutation Theory ◽  
Basic Concepts ◽  
Definition Of ◽  
Social Network Evolution

In the process of evolution in Start-up Enterprises, its social networks will often occurred Mutations phenomenon because of environmental changes, the changing conditions, the reverse direction, management of error, etc. This paper analyzed the evolution in social network of Start-up Enterprises through the basic concepts of the theory of mutations, definition of mutations in Start-up Enterprises′ social network evolution, and the using of swallow-tail mutation theory; proposed countermeasures of how to make full use of social network to facilitate Start-up Enterprises timely and accurately identify mutations, take measures, reduce the loss which mutations brought.

scholarly journals The relevance of mixed methods for network analysis in tourism and hospitality research

2020 ◽  
Vol 32 (4) ◽  
pp. 1643-1673 ◽  
Author(s):  
Marcello Mariani ◽  
Rodolfo Baggio
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Mixed Methods ◽  
Network Analysis ◽  
Quantitative Methods ◽  
Statistical Analyses ◽  
Sequential Designs ◽  
Content Type ◽  
Qualitative Approaches ◽  
Tourism And Hospitality

Purpose Taking stock of extant hospitality and tourism research using social network analysis approaches, this study highlights why using either quantitative or qualitative approaches to examine social networks can be misleading and generate potentially biased findings. Indeed, purely qualitative and purely quantitative studies display limitations. The purpose of this study is to provide methodological insights by suggesting that mixed methods can be suitably used, depending on the specific research questions. Design/methodology/approach The study consists of an analysis and critical discussion of the methods used in a number of papers leveraging social network approaches to study social networks in tourism and hospitality. The authors describe the benefits and limitations of each method studies considered are examined based on a number of aspects. Findings More than half of the studies classified as network studies adopt quantitative designs and quantitative methods including statistical analyses and observational data. Mixed methods study is a minority and they are almost never labeled as mixed methods. A relevant portion of qualitative studies increasingly embeds a number of rudimentary statistical analyses. With an example, the authors also discuss that purely quantitative or purely qualitative methods can lead to discrepant results, and thus, the authors encourage scholars to embrace mixed method research designs such as explanatory or exploratory sequential designs. Advanced researchers might attempt in the future to embrace transformative, embedded or multiphase mixed methods. Research limitations/implications This study is based on academic papers and research published before 2019. A rich research agenda is designed. Originality/value This study contributes to explore the way social networks have been dealt with in tourism and hospitality research so far, by advancing a proposal to adopt mixed methods in the form of explanatory or exploratory sequential designs. To the best of the knowledge, it is the first study addressing methodological pitfalls in extant network-based research within the tourism and hospitality domain.

scholarly journals Conceptualising the social networks of vulnerable children and young people: a systematic review and narrative synthesis

2020 ◽  
Author(s):  
Imogen Nevard ◽  
Chloe Green ◽  
Vicky Bell ◽  
Judith Gellatly ◽  
Helen Brooks ◽  
...  
Keyword(s):  
Systematic Review ◽  
Social Networks ◽  
Social Network ◽  
Mixed Methods ◽  
Young People ◽  
Narrative Synthesis ◽  
Vulnerable Children ◽  
Children And Young People ◽  
Vulnerable Child ◽  
Minority Ethnic

Abstract Purpose The relationship between social networks and health and wellbeing is increasingly demonstrated in vulnerable adult populations. This relationship for vulnerable children and young people has not hitherto been systematically reviewed. This narrative synthesis aims to consolidate research to provide a foundational basis for future health-related social network research and interventions for children and young people. Methods This mixed methods systematic review synthesises research investigating whole, egocentric social networks of 32 vulnerable child groups with a mean age below 18. There were no setting, language or date restrictions. The quality was assessed using the Mixed Methods Appraisal Tool. Of 6360 search results, 49 were included for narrative synthesis. Results The majority of pertinent research originates from the USA; the most frequently investigated vulnerabilities were minority ethnic status, homelessness and the presence of special educational needs. Research aims and methodologies varied significantly between studies. Key findings included (i) vulnerable (excluding minority ethnic) children and young people have impoverished networks (ii) access to networks is a protective factor against negative outcomes (iii) social ties, primarily immediate family, provide access to personal resources and (iv) network ties are to a degree substitutable. Conclusions Networks are associated with wellbeing and vulnerable children and young people commonly have impoverished networks, excluding cases where vulnerability classification relates to minority ethnic status. Network embeddedness is associated with positive outcomes, particularly for homeless children. Family are typically primary providers of support, but ties are substitutable when networks are restricted. Egocentric social network research is currently limited for vulnerable child populations. Further research could inform interventions that harness networks to improve health, wellbeing and functional outcomes for these child groups.

scholarly journals SOCIAL NETWORKS IN THE CONTEXT OF SOCIAL CAPITAL: A REVIEW OF FOREIGN THEORETICAL APPROACHES

2020 ◽  
Vol 3 (3) ◽  
pp. 146-166
Author(s):  
Darya A. Lastovkina
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Network ◽  
Social System ◽  
Structural Element ◽  
Theoretical Approaches ◽  
Communication Space ◽  
Characteristic Features ◽  
Developing Area ◽  
Definition Of

Currently, society lives in the conditions of continuous expansion of the communication space. This is manifested in the transformation of old and the emergence of new types of interaction of individuals in the economic, political, social, spiritual spheres of society. The study of social networks is an actively developing area in theoretical sociology, and the concept of social networks is the most natural in the description and construction of a social structure. In a broad sense, a social network is understood as many points (members of a social system), to a greater or lesser extent, related to each other. In this article we will illustrate the main stages of the evolution of the concept of “social network” in the works of foreign researchers. Let's take a closer look at foreign theoretic approaches to the study of social networks as a structural element of social capital. In the conclusion of our analysis, we will list the main characteristic features of a social network, on the basis of which we will formulate a generalized definition of this phenomenon.

The role of social networking in the life of under-age persons with special needs

Servis plus ◽  
10.12737/5533 ◽  
2014 ◽  
Vol 8 (3) ◽  
pp. 16-21
Author(s):  
Артур Михеев ◽  
Artur Mikheev
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Special Needs ◽  
Major Element ◽  
Social Adaptation ◽  
User Needs ◽  
The Social ◽  
Definition Of

The article present the results of research into the role of social networking in the life of under-age (aged 10–18) people with special needs (the number of respondents —120 under-age people). The aim of the research is to identify the degree of influence that social networks have on the process of social adaptation of under-age people with special needs. Each of the social networks under scrutiny was analyzed as to the user opportunities it has to offer and the user needs it can satisfy. The author also provides a definition of (1) the concept of a social network, (2) a social graph as a major element of a social network, (3) a person with special needs, and (4) population disability.

Unveiling Network Data Patterns in Social Media

2022 ◽  
pp. 571-588
Author(s):  
Maria Prosperina Vitale ◽  
Maria Carmela Catone ◽  
Ilaria Primerano ◽  
Giuseppe Giordano
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Data ◽  
Online Data ◽  
Complex Picture ◽  
Definition Of ◽  
Network Patterns

The present study focuses on the usefulness of social network analysis in unveiling network patterns in social media. Specifically, the propagation and consumption of information on Twitter through network analysis tools are investigated to discover the presence of specific conversational patterns in the derived online data. The choosing of Twitter is motivated by the fact that it induces the definition of relationships between users by following communication flows on specific topics of interest and identifying key profiles who influence debates in the digital space. Further lines of research are discussed regarding the tools for discovering the spread of fake news. Considerable disinformation can be generated on social networks, offering a complex picture of informational disorientation in the digital society.

Near consensus complex linear and nonlinear social networks

2014 ◽  
Vol 28 (13) ◽  
pp. 1450106 ◽  
Author(s):  
Bingo Wing-Kuen Ling ◽  
Charlotte Yuk-Fan Ho ◽  
Lidong Wang ◽  
Kok-Lay Teo ◽  
Chi K. Tse ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Steady State ◽  
Optimization Problem ◽  
Threshold Value ◽  
Weight Matrix ◽  
Initial State ◽  
Complex Linear ◽  
Definition Of ◽  
The Given

Some of the nodes of complex social networks may support for a given proposal, while the rest of the nodes may be against the given proposal. Even though all the nodes support for or are against the given proposal, the decision certitudes of individual nodes may be different. In this case, the steady state values of the decision certitudes of the majority of the nodes are either higher than or lower than a threshold value. Deriving the near consensus property is a key to the analysis of the behaviors of complex social networks. So far, no result on the behaviors of the complex social networks satisfying the near consensus property has been reported. Hence, it is useful to extend the definition of the exact consensus property to that of a near consensus property and investigate the behaviors of the complex social networks satisfying the near consensus property. This paper extends the definition of exact consensus complex social networks to that of near consensus complex social networks. For complex linear social networks, this paper investigates the relationships among the vectors representing the steady state values of the decision certitudes of the nodes, the influence weight matrix and the set of vectors representing the initial state values of the decision certitudes of the nodes under a given near consensus specification. The above analysis is based on the Eigen theory. For complex nonlinear social networks with certain types of nonlinearities, the relationship between the influence weight matrix and the vectors representing the steady state values of the decision certitudes of the nodes is studied. When a complex nonlinear social network does not achieve the exact consensus property, the optimal near consensus condition that the complex social network can achieve is derived. This problem is formulated as an optimization problem. The total number of nodes that the decision certitudes of the nodes are either higher than or lower than a threshold value is maximized subject to the corresponding near consensus specification. The optimization problem is a nonsmooth optimization problem. The nonsmooth constraints are first approximated by smooth constraints. Then, the approximated optimization problem is solved via a conventional smooth optimization approach. Computer numerical simulation results as well as the comparisons of the behaviors of complex nonlinear social networks to those of the complex linear social networks are presented. The obtained results demonstrate that some complex social networks can satisfy the near consensus property but not the exact consensus property. Also, the conditions for the near consensus property are dependent on the types of nonlinearities, the influence weight matrix and the vectors representing the initial state values of the decision certitudes of the nodes.

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