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Comparar métodos

Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Análise de Redes de Pequeno Mundo e Livres de Escala×Modelo de Grafos Aleatórios Exponenciais (ERGM / p*)×
ÁreaAnálise de redesAnálise de redes
FamíliaProcess / pipelineProcess / pipeline
Ano de origem1998 (small-world); 1999 (scale-free)1986 (foundational); modern ERGM framework 1996–2007
Autor originalFrank & Strauss (1986); extended by Wasserman & Pattison (1996) and Robins et al. (2007)
TipoDescriptive / exploratory network analysisProbabilistic generative network model
Fonte seminalWatts, D.J. & Strogatz, S.H. (1998). Collective Dynamics of 'Small-World' Networks. Nature, 393(6684), 440-442. DOI ↗Robins, G., Pattison, P., Kalish, Y., & Lusher, D. (2007). An introduction to exponential random graph (p*) models for social networks. Social Networks, 29(2), 173-191. DOI ↗
Outros nomesKüçük Dünya ve Ölçek-Bağımsız Ağ Analizi, small-world network, scale-free network, preferential attachment analysisERGM, p-star model, p* model, Üstel Rastgele Graf Modeli (ERGM / p*)
Relacionados96
ResumoSmall-world and scale-free network analysis tests whether a real-world network exhibits two landmark topological signatures identified in 1998-1999: the Watts-Strogatz small-world property (high local clustering combined with short average path lengths) and the Barabási-Albert scale-free property (a degree distribution that follows a power law, meaning a small number of hubs connect to a disproportionately large share of other nodes). Together these frameworks transformed network science by showing that many social, biological, and technological networks share a common structural grammar.The Exponential Random Graph Model (ERGM), also known as the p* model, is a statistical framework for network analysis that models the probability of an observed network as a function of its local structural features — such as reciprocity, triangles, and degree distribution. Developed from the foundational work of Frank and Strauss (1986) and extended into the modern framework by Wasserman and Pattison (1996) and Robins et al. (2007), ERGM is the inferential standard for social network analysis, capable of testing whether observed network structures arise by chance or reflect genuine social processes.
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ScholarGateComparar métodos: Small-World and Scale-Free Network Analysis · Exponential Random Graph Model. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare