Detecting latent communities in network formation models
This paper proposes a logistic undirected network formation model which allows for assortative matching on observed individual characteristics and the presence of edge-wise fixed effects. We model the coefficients of observed characteristics to have a latent community structure and the edge-wise fixed eff...
Saved in:
Main Authors: | MA, Shujie, SU, Liangjun, ZHANG, Yichong |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2020
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/soe_research/2377 https://ink.library.smu.edu.sg/context/soe_research/article/3376/viewcontent/MSZ_20200508_.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Singapore Management University |
語言: | English |
相似書籍
-
Strong consistency of spectral clustering for stochastic block models
由: SU, Liangjun, et al.
出版: (2017) -
Strong consistency of spectral clustering for stochastic block models
由: SU, Liangjun, et al.
出版: (2019) -
Strong consistency of spectral clustering for stochastic block models
由: SU, Liangjun, et al.
出版: (2020) -
Determining the number of communities in degree-corrected stochastic block models
由: MA, Shujie, et al.
出版: (2018) -
Determining the number of communities in degree-corrected stochastic block models
由: MA, Shujie, et al.
出版: (2021)