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Social Network Analysis
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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...read more
Citations
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The SocialTrust framework for trusted social information management: Architecture and algorithms
TL;DR: The SocialTrust framework for enabling trusted social information management in Internet-scale social information systems is presented and it is found that SocialTrust supports robust trust establishment even in the presence of large-scale collusion by malicious participants.
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Gravity's Rainbow: A dynamic latent space model for the world trade network
TL;DR: This work combines a gravity model specification with “latent space” networks to develop a dynamic mixture model for real-valued directed graphs that substantially outperforms standard accounts in terms of both in- and out-of-sample predictive heuristics.
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The small-world effect: The influence of macro-level properties of developer collaboration networks on open-source project success
TL;DR: It is argued that OSS community networks characterized by small-world properties would positively influence the productivity of the member developers by providing them with speedy and reliable access to more quantity and variety of information and knowledge resources.
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What sort of community is the European Conference on Information Systems? A social network analysis 1993?2005.
TL;DR: A social network analysis (SNA) of the European Conference on Information Systems (ECIS) community based on patterns of co-authorship is presented, considering the usefulness of SNA as a method to support IS research.
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Spatial Decision Support Systems: Three decades on
TL;DR: Examination of the growth of and changes in the Spatial Decision Support Systems field over the past three decades shows that despite conceptual links rooted in DSS, the field of SDSS developed largely independently from D SS, with little interaction between both.
References
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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.
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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.
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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.
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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.
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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.