ScholarGate
Асистент

Сравнение на методи

Прегледайте избраните методи един до друг; редовете с разлики са откроени.

Анализ на мрежи с малък свят и без мащаб×Модел на експоненциален случаен граф (ERGM / p*)×
ОбластМрежови анализМрежови анализ
СемействоProcess / pipelineProcess / pipeline
Година на възникване1998 (small-world); 1999 (scale-free)1986 (foundational); modern ERGM framework 1996–2007
СъздателFrank & Strauss (1986); extended by Wasserman & Pattison (1996) and Robins et al. (2007)
ТипDescriptive / exploratory network analysisProbabilistic generative network model
Основополагащ източникWatts, 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 ↗
Други названияKüçük 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*)
Свързани96
РезюмеSmall-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.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

Към търсенето Изтегляне на слайдове

ScholarGateСравнение на методи: Small-World and Scale-Free Network Analysis · Exponential Random Graph Model. Извлечено на 2026-06-18 от https://scholargate.app/bg/compare