Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Modeli i Grafëve të Rastit Eksponencialë të Drejtuar× | Analiza e Modulacionit të Drejtuar× | |
|---|---|---|
| Fusha | Analiza e rrjeteve | Analiza e rrjeteve |
| Familja | Machine learning | Machine learning |
| Viti i origjinës≠ | 1986 (foundations); 2007 (modern directed ERGM formulation) | 2008 |
| Krijuesi≠ | Frank, O. & Strauss, D.; extended by Robins, Pattison, Kalish & Lusher | Leicht, E. A. & Newman, M. E. J. |
| Lloji≠ | Statistical generative model for directed networks | Community detection / graph partitioning |
| Burimi themelues≠ | 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. DOI ↗ | Leicht, E. A., & Newman, M. E. J. (2008). Community structure in directed networks. Physical Review Letters, 100(11), 118703. DOI ↗ |
| Emërtime të tjera | Directed ERGM, p-star model (directed), directed p* model, directed Markov graph model | directed community detection via modularity, directed Q-modularity, digraph modularity optimization, Leicht-Newman modularity |
| Të lidhura≠ | 4 | 5 |
| Përmbledhja≠ | The Directed Exponential Random Graph Model (Directed ERGM) is a family of statistical models for directed networks that estimates the probability of observing a given directed graph as a function of structural configurations — such as reciprocity, transitive triads, and in-degree centralization — and node or dyad covariates, enabling principled inference about the social processes that generate directed ties. | 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. |
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