مقایسهٔ روشها
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| تحلیل شبکه دووجهی جهتدار× | تحلیل مدولاریتی جهتدار× | |
|---|---|---|
| حوزه | تحلیل شبکه | تحلیل شبکه |
| خانواده | Machine learning | Machine learning |
| سال پیدایش≠ | 1997 | 2008 |
| پدیدآور≠ | Borgatti, S. P. & Everett, M. G. | Leicht, E. A. & Newman, M. E. J. |
| نوع≠ | Structural network analysis | Community detection / graph partitioning |
| منبع بنیادین≠ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications (Ch. 8). Cambridge University Press. ISBN: 978-0-521-38707-1 | Leicht, E. A., & Newman, M. E. J. (2008). Community structure in directed networks. Physical Review Letters, 100(11), 118703. DOI ↗ |
| نامهای دیگر | directed bipartite network analysis, asymmetric affiliation network analysis, directed actor-event network analysis, directed two-mode graph analysis | directed community detection via modularity, directed Q-modularity, digraph modularity optimization, Leicht-Newman modularity |
| مرتبط≠ | 6 | 5 |
| خلاصه≠ | 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. | Directed modularity analysis extends the classic Newman-Girvan modularity framework to directed graphs, where edges carry a source and a destination. Formalized by Leicht and Newman in 2008, it partitions nodes into communities by maximizing a modularity score that accounts for each node's separate in-degree and out-degree in the null model, making it the standard approach for community detection in citation networks, information flows, and other asymmetric relational data. |
| ScholarGateمجموعهداده ↗ |
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