Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Analīze virzītajos ego tīklos× | Vērstā sociālo tīklu analīze× | |
|---|---|---|
| Nozare | Tīklu analīze | Tīklu analīze |
| Saime | Machine learning | Machine learning |
| Izcelsmes gads≠ | 1954–2005 | 1994 |
| Autors≠ | Barnes, J. A.; Bott, E.; extended by Everett & Borgatti | Wasserman, S. & Faust, K. |
| Tips≠ | Egocentric network method | Structural analysis of directed graphs |
| Pirmavots≠ | Everett, M. G., & Borgatti, S. P. (2005). Ego network betweenness. Social Networks, 27(1), 31–38. DOI ↗ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 |
| Citi nosaukumi | directed personal network analysis, asymmetric ego network, directed egocentric network analysis, directed egonet analysis | directed SNA, digraph analysis, directed graph network analysis, asymmetric network analysis |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | 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. | Directed Social Network Analysis (directed SNA) studies networks in which every tie has an explicit direction — from a sender to a receiver — rather than treating relationships as symmetric. It extends the classical SNA toolkit with in-degree, out-degree, reciprocity, and asymmetric path measures, making it the appropriate framework wherever relationship direction carries substantive meaning, such as citation flows, advice-seeking, follower graphs, or information cascades. |
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