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Journal ArticleDOI

Network analysis of 2-mode data

Stephen P. Borgatti, +1 more
- 01 Aug 1997 - 
- Vol. 19, Iss: 3, pp 243-269
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TLDR
Traditional network analytic techniques to 2-mode data, as well as developing new techniques are presented and three areas are covered in detail: displaying 2- mode data as networks, detecting clusters and measuring centrality.
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This article is published in Social Networks.The article was published on 1997-08-01. It has received 971 citations till now. The article focuses on the topics: Dynamic network analysis & Network science.

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Plant-Animal Mutualistic Networks: The Architecture of Biodiversity

TL;DR: The mutually beneficial interactions between plants and their animal pollinators and seed dispersers have been paramount in the generation of Earth's biodiversity and understanding how coevolution proceeds in these highly diversified mutualisms among free-living species presents a conceptual challenge.
Journal ArticleDOI

What's different about social media networks? a framework and research agenda

TL;DR: Several key differences between traditional offline social networks and online social media networks are outlined by juxtaposing an established typology of social network research with a well-regarded definition of social media platforms that articulates four key features.
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Networks beyond pairwise interactions: Structure and dynamics

TL;DR: A complete overview of the emerging field of networks beyond pairwise interactions, and focuses on novel emergent phenomena characterizing landmark dynamical processes, such as diffusion, spreading, synchronization and games, when extended beyond Pairwise interactions.
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Basic notions for the analysis of large two-mode networks

TL;DR: This work proposes here an extension of the most basic notions used nowadays to analyse large one-mode networks (the classical case) to the two-mode case, and introduces a set of simple statistics, which are discussed by comparing their values on a representative set of real-world networks and on their random versions.
References
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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.
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Tabu Search—Part II

TL;DR: The elements of staged search and structured move sets are characterized, which bear on the issue of finiteness, and new dynamic strategies for managing tabu lists are introduced, allowing fuller exploitation of underlying evaluation functions.
Proceedings ArticleDOI

On genetic algorithms

TL;DR: C Culling is near optimal for this problem, highly noise tolerant, and the best known a~~roach in some regimes, and some new large deviation bounds on this submartingale enable us to determine the running time of the algorithm.
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Factoring and weighting approaches to status scores and clique identification

TL;DR: In this paper, Factoring and weighting approaches to status scores and clique identification were proposed, and the results showed that the weighting approach is more accurate than the factoring approach.
Journal ArticleDOI

The Cambridge encyclopedia of language

David Crystal
- 01 Jun 1992 - 
TL;DR: The structure of language and identity, child language acquisition, language, brain and handicap, and language and communication are discussed.