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| Analiza kierunkowych sieci ego× | Analiza ważonych sieci ego× | |
|---|---|---|
| Dziedzina | Analiza sieci | Analiza sieci |
| Rodzina | Machine learning | Machine learning |
| Rok powstania≠ | 1954–2005 | 1954–2002 |
| Twórca≠ | Barnes, J. A.; Bott, E.; extended by Everett & Borgatti | Barnes, J. A.; Bott, E.; Marsden, P. V. |
| Typ≠ | Egocentric network method | Ego-centered network analysis with weighted ties |
| Źródło pierwotne≠ | Everett, M. G., & Borgatti, S. P. (2005). Ego network betweenness. Social Networks, 27(1), 31–38. DOI ↗ | Marsden, P. V. (2002). Egocentric and sociocentric measures of network centrality. Social Networks, 24(4), 407–422. DOI ↗ |
| Inne nazwy | directed personal network analysis, asymmetric ego network, directed egocentric network analysis, directed egonet analysis | weighted personal network analysis, ego-centered weighted network analysis, weighted egonet analysis, tie-strength ego network analysis |
| Pokrewne≠ | 5 | 6 |
| Podsumowanie≠ | Directed ego network analysis examines the personal network of a focal node — the ego — by distinguishing the direction of each tie: who sends resources, support, or information to the ego, and to whom the ego sends them. This asymmetric perspective reveals role differentiation, dependence, and brokerage that undirected ego networks cannot capture. | Weighted ego network analysis examines the personal network of a focal actor (the ego) and incorporates tie strength — measured as interaction frequency, closeness, or resource exchange — as edge weights. By moving beyond simple presence or absence of a tie, it captures how much each relationship matters and how those varying strengths shape outcomes such as social support, information access, or influence. |
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