Models and Methods in Social Network Analysis
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Machine scores (provisional)
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- Teacher spread
- 0.255 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Cambridge University Press eBooks
- Topic
- Complex Network Analysis Techniques
- Field
- Physics and Astronomy
- Canadian institutions
- University of Waterloo
- Funders
- —
- Keywords
- Social network analysisCentralityNetwork analysisOrganizational network analysisComputer scienceData scienceSocial network (sociolinguistics)Network scienceDynamic network analysisComplement (music)Network theoryExponential random graph modelsData miningRandom graphTheoretical computer scienceComplex networkWorld Wide WebStatisticsSocial mediaKnowledge managementMathematicsComputer networkGraph
- Has abstract in OpenAlex
- yes