Sammenlign metoder

	Ego-netværksanalyse	Exponential Random Graph Model (ERGM / p*)
Fagområde	Netværksanalyse	Netværksanalyse
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1992 (Burt); foundational measurement formalised by Marsden 2002	1986 (foundational); modern ERGM framework 1996–2007
Ophavsperson	Ronald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures)	Frank & Strauss (1986); extended by Wasserman & Pattison (1996) and Robins et al. (2007)
Type	Descriptive / relational network analysis	Probabilistic generative network model
Oprindelig kilde	Burt, R.S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 9780674843714	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.
Aliasser	personal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis)	ERGM, p-star model, p* model, Üstel Rastgele Graf Modeli (ERGM / p*)
Relaterede	6	6
Resumé	Ego network analysis examines the personal network of a focal individual — the ego — by mapping their direct contacts (alters) and the ties those contacts share with one another. Formalised through Ronald Burt's structural holes framework (1992) and Marsden's egocentric measurement approach (2002), the method produces ego-level indicators such as network size, density, constraint, and brokerage role that reveal how each individual's social position shapes their access to information, resources, and influence.	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.