Modeling and predicting individual transitions within the homelessness system-Reference-Cited by-同舟云学术

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Modeling and predicting individual transitions within the homelessness system

Published:2023-04-25 Issue:1 Volume:13 Page:
ISSN:1869-5469
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Rahman Khandker Sadia,Chelmis Charalampos

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s13278-023-01083-y.pdf

Reference25 articles.

1. Abbott A, Tsay A (2000) Sequence analysis and optimal matching methods in sociology: review and prospect. Sociol Methods Res 29(1):3–33

2. Albert R, Barabási A-L (2002) Statistical mechanics of complex networks. Rev Modern Phys 74(1):47

3. Brugere I, Gallagher B, Berger-Wolf TY (2018) Network structure inference, a survey: motivations, methods, and applications. ACM Comput Surv (CSUR) 51(2):1–39

4. Chelmis C, Qi W, Lee W, Duncan S (2021) Smart homelessness service provision with machine learning. Proc Comput Sci 185:9–18

5. Chelmis C, Rahman KS (2021) Peeking through the homelessness system with a network science lens. In: Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp 69–73

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