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Social Network Analysis

John Scott
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TLDR
In this article, the development of social network analysis, tracing its origins in classical sociology and its more recent formulation in social scientific and mathematical work, is described and discussed. But it is argued that the analysis of social networks is not a purely static process.
Abstract
This paper reports on the development of social network analysis, tracing its origins in classical sociology and its more recent formulation in social scientific and mathematical work. It is argued...

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Racial Homophily and Its Persistence in Newcomers' Social Networks

TL;DR: Over the time period studied there was no significant change in homophily among the racial groups' networks, despite the explicit promotion of diversity in recruitment of students, formation of heterogeneous classes and teams, and active support by the MBA program administrators.
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Formal versus informal knowledge networks in R&D: a case study using social network analysis

TL;DR: Despite the knowledge-intensive nature of research and development (RD), despite the growing interest in knowledge management practices, more attention is being paid to social network analysis as a tool for mapping the nature and membership of informal networks.
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Global research priorities to mitigate plastic pollution impacts on marine wildlife

TL;DR: In this paper, a growing concern related to threats posed to marine wildlife from microplastics and frag- ment debris, the need for data at scales relevant to management, and the urgent need to develop interdisciplinary research and management partnerships to limit the release of plastics into the environment and curb the future impacts of plastic pollution is highlighted.
Book ChapterDOI

Mining Social Networks: Uncovering Interaction Patterns in Business Processes

TL;DR: This paper introduces the approach, defines metrics, and presents a tool to mine social networks from event logs, combining concepts from workflow management and social network analysis.
Book ChapterDOI

Epidemics and immunization in scale‐free networks

TL;DR: The authors offer concepts to model network structures and dynamics, focussing on approaches applicable across disciplines, and focus on networks that change their topology as in morphogenesis and self-organization.
References
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Journal ArticleDOI

The Strength of Weak Ties

TL;DR: In this paper, it is argued that the degree of overlap of two individuals' friendship networks varies directly with the strength of their tie to one another, and the impact of this principle on diffusion of influence and information, mobility opportunity, and community organization is explored.
Journal ArticleDOI

Centrality in social networks conceptual clarification

TL;DR: In this article, three distinct intuitive notions of centrality are uncovered and existing measures are refined to embody these conceptions, and the implications of these measures for the experimental study of small groups are examined.
Journal ArticleDOI

Power and Centrality: A Family of Measures

TL;DR: In this article, the rank orderings by the four networks whose analysis forms the heart of this paper were analyzed and compared to the rank ordering by the three centrality measures, i.e., betweenness, nearness, and degree.
Journal ArticleDOI

Network data and measurement

TL;DR: Continued research on data quality is needed; beyond improved samples and further investigation of the informant accuracy/reliability issue, this should cover common indices of network structure, address the consequences of sampling portions of a network, and examine the robustness of indicators ofnetwork structure and position to both random and nonrandom errors of measurement.
Journal ArticleDOI

Social Structure from Multiple Networks. I. Blockmodels of Roles and Positions

TL;DR: In this paper, Boorman and White proposed a dual model that partitions a population while simultaneously identifying patterns of relations and role and position concepts in the concrete social structure of small populations.