scholarly journals Prosopography, Networks, Life Course Sequences, and so on. Quantifying with or beyond Bourdieu?

2019 ◽  
Vol 144 (1) ◽  
pp. 6-39 ◽  
Author(s):  
Thierry Rossier
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Sequence Analysis ◽  
Network Analysis ◽  
Multiple Correspondence Analysis ◽  
Research Programme ◽  
Doctoral Dissertation ◽  
Methodological Development ◽  
Course Sequences ◽  
Further Development

This article focuses on the importance of quantifying Bourdieu’s “research programme”, linked with the concepts of field, habitus, and capital. It presents possible ways of doing statistics within this framework and argues that continuous methodological development should be pursued. To support this argument, the article highlights the methodology and empirical results of a doctoral dissertation on the Swiss field of economic sciences. It stresses the relevance of using a prosopographical strategy and advocates further development of multiple correspondence analysis, and the use of sequence analysis and social network analysis. The main contributions of these methods concern the investigation of subgroup profiles in fields, the trajectories of accumulation and conversion of capitals and the structure of social capital. When asking whether or not we should think with or beyond Bourdieu when suggesting new methodological developments to his programme, this article argues that we ought to think beyond his strict written work, but still within his theoretical framework, which proves particularly relevant to the study of power relations among individuals.

Understanding Knowledge Networks Through Social Network Analysis

2017 ◽  
Vol 13 (2) ◽  
pp. 1-17 ◽  
Author(s):  
Ronel Davel ◽  
Adeline S. A. Du Toit ◽  
Martie M Mearns
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Communities Of Practice ◽  
Knowledge Networks ◽  
Informal Networks ◽  
Process Map ◽  
Knowledge Maps

Social network analysis (SNA) is being increasingly deployed as an instrument to plot knowledge and expertise as well as to confirm the character of connections in informal networks within organisations. This study investigated how the integration of networking into KM can produce significant advantages for organisations. The aim of the research was to examine how the interactions between SNA, Communities of Practice (CoPs) and knowledge maps could potentially influence knowledge networks. The researchers endeavour to illustrate via this question that cultivating synergies between SNA, CoPs and knowledge maps will enable organisations to produce stronger knowledge networks and ultimately increase their social capital. This article intends to present a process map that can be useful when an organisation wants to positively increase its social capital by examining influencing interactions between SNA, CoPs and knowledge maps, thereby enhancing the manner in which they share and create knowledge.

scholarly journals Homophily and Social Capital in a Network of Religious Congregations

Religions ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 653
Author(s):  
Jennifer M. McClure
Keyword(s):  
United States ◽  
Social Capital ◽  
Social Network ◽  
Network Analysis ◽  
Southeastern United States ◽  
Sociology Of Religion ◽  
Religious Congregations ◽  
Major Metropolitan Area ◽  
Curvilinear Relationships ◽  
The Relationship

This article investigates the relationship between homophily, the tendency for relationships to be more common among similar actors, and social capital in a social network of religious congregations from eight counties encompassing and surrounding a major metropolitan area in the southeastern United States. This network is inter-congregational, consisting of congregations and the relationships between them. Two types of social capital are investigated: the first involves the extent to which congregations bridge across structural holes, or bridge together otherwise disconnected congregations within the network; secondly, network closure involves the extent to which congregations are embedded in tight-knit clusters. Analyses use two types of homophily (religious and racial) to predict both outcomes, and they test linear and curvilinear relationships between both forms of homophily and the outcomes. Results indicate that congregations with moderate levels of religious homophily are more likely to bridge between otherwise disconnected congregations; however, congregations with low or high religious homophily as well as congregations with high racial homophily are more likely to be embedded in tight-knit relational clusters. This article contributes additional social network research on congregations and evidence of curvilinear relationships between homophily and social capital to the fields of social network analysis and sociology of religion.

Egonetwork e capitale sociale degli imprenditori. Un'analisi micro

2009 ◽  
pp. 51-65
Author(s):  
Antonello Podda
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Network Analysis ◽  
Key Words ◽  
Rational Choice ◽  
Social Relationships ◽  
Local Development ◽  
Methodological Tool

- The aim of this paper is to focus the attention to the actor and its social network in the analysis of social capital. The Egonetwork's methodological tool allows the analysis to focus on resources embedded in the network as well as on the influence of structure on social relationships.Key words: social capital, network analysis, Egonetwork, entrepreneurship, local development, rational choice

scholarly journals Using Social Network Analysis and Social Capital to Identify User Roles on Polarized Political Conversations on Twitter

2019 ◽  
Vol 5 (2) ◽  
pp. 205630511984874 ◽  
Author(s):  
Raquel Recuero ◽  
Gabriela Zago ◽  
Felipe Soares
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Opinion Leaders ◽  
Information Flows ◽  
Network Metrics ◽  
Network Analysis Metrics

In this article, we discuss the roles users play in political conversations on Twitter. Our case study is based on data collected in three dates during the former Brazilian president Lula’s corruption trial. We used a combination of social network analysis metrics and social capital to identify the users’ roles during polarized discussions that took place in each of the dates analyzed. Our research identified four roles, each associated with different aspects of social capital and social network metrics: activists, news clippers, opinion leaders, and information influencers. These roles are particularly useful to understand how users’ actions on political conversations may influence the structure of information flows.

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