השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח רשת דו-מצבית מכוונת× | ניתוח רשתות דו-מודאליות× | |
|---|---|---|
| תחום | ניתוח רשתות | ניתוח רשתות |
| משפחה | Machine learning | Machine learning |
| שנת המקור≠ | 1997 | 1974 |
| הוגה השיטה≠ | Borgatti, S. P. & Everett, M. G. | Breiger, R. L. |
| סוג≠ | Structural network analysis | Bipartite graph analysis |
| מקור מכונן≠ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications (Ch. 8). Cambridge University Press. ISBN: 978-0-521-38707-1 | Breiger, R. L. (1974). The duality of persons and groups. Social Forces, 53(2), 181–190. DOI ↗ |
| כינויים | directed bipartite network analysis, asymmetric affiliation network analysis, directed actor-event network analysis, directed two-mode graph analysis | bipartite network analysis, affiliation network analysis, two-mode SNA, dual-projection network analysis |
| קשורות≠ | 6 | 5 |
| תקציר≠ | Directed two-mode network analysis studies bipartite graphs in which nodes belong to two distinct sets — such as actors and events, authors and papers, or firms and markets — and edges carry a direction, capturing asymmetric relationships like citation, referral, or endorsement. Combining the duality of two-mode structure with directed tie semantics reveals flow patterns and influence asymmetries that undirected or single-mode analyses would miss. | Two-mode network analysis examines networks built from two distinct types of nodes — such as actors and events, authors and papers, or companies and board members — connected only across types. By analysing this bipartite structure directly or projecting it onto one-mode networks, researchers uncover affiliation patterns, shared memberships, and structural duality that are invisible in standard one-mode social network analysis. |
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