Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Saray Shai"'
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-20 (2021)
Abstract Online political advertising is becoming increasingly popular as political campaigns recognize the utility of social network platforms, like Facebook, for reaching and engaging with voters. Yet, contrary to the wealth of information about ca
Externí odkaz:
https://doaj.org/article/2a337f58cc74463baaf6a7561dcad248
Autor:
Emanuele Strano, Andrea Giometto, Saray Shai, Enrico Bertuzzo, Peter J. Mucha, Andrea Rinaldo
Publikováno v:
Royal Society Open Science, Vol 4, Iss 10 (2017)
Because of increasing global urbanization and its immediate consequences, including changes in patterns of food demand, circulation and land use, the next century will witness a major increase in the extent of paved roads built worldwide. To model th
Externí odkaz:
https://doaj.org/article/8d755b74fc344c89baff557890fa20fa
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-20 (2021)
Online political advertising is becoming increasingly popular as political campaigns recognize the utility of social network platforms, like Facebook, for reaching and engaging with voters. Yet, contrary to the wealth of information about campaign ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c3905cc1889d5bac731a202db3d286e
https://doaj.org/article/2a337f58cc74463baaf6a7561dcad248
https://doaj.org/article/2a337f58cc74463baaf6a7561dcad248
Autor:
Noa Pinter-Wollman, Nina H. Fefferman, Saray Shai, Daniel B. Larremore, Matthew J. Silk, Elizabeth A. Hobson, M. Puck Rombach
Publikováno v:
Biological reviews of the Cambridge Philosophical Society, vol 96, iss 6
Analyzing social networks is challenging. Key features of relational data require the use of non-standard statistical methods such as developing system-specific null, or reference, models that randomize one or more components of the observed data. He
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6301b6e82634218d653a576deec28683
https://escholarship.org/uc/item/3s696912
https://escholarship.org/uc/item/3s696912
Community structure describes the organization of a network into subgraphs that contain a prevalence of edges within each subgraph and relatively few edges across boundaries between subgraphs. The development of community-detection methods has occurr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da0696234a4afca78f4e2c4e2f06167e
https://doi.org/10.1093/oxfordhb/9780190251765.013.16
https://doi.org/10.1093/oxfordhb/9780190251765.013.16
Autor:
Ruijin Du, Lixin Tian, Jingfang Fan, Louis M. Shekhtman, Saray Shai, Gaogao Dong, Shlomo Havlin, Xiaosong Chen, H. Eugene Stanley
Publikováno v:
Proceedings of the National Academy of Sciences. 115:6911-6915
Detecting and characterizing community structure plays a crucial role in the study of networked systems. However, there is still a lack of understanding of how community structure affects the systems' resilience and stability. Here, we develop a fram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3a83800e676512349e83d09d2094217
https://doi.org/10.1073/pnas.1801588115
https://doi.org/10.1073/pnas.1801588115
Autor:
Karen B Stitzenberg, Peter J. Mucha, Tzy Mey Kuo, Yunkyung Chang, Saray Shai, Justin G. Trogdon, Anne M. Meyer
Publikováno v:
Medical Care. 56:430-435
To estimate the association between provider and team experience and adherence to guidelines, survival, and utilization among colorectal cancer patients in North Carolina.The analysis cohort included 7295 patients diagnosed with incident stage II/III
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e33677affda1628a62b888233b3ea8
https://doi.org/10.1097/mlr.0000000000000906
https://doi.org/10.1097/mlr.0000000000000906
Publikováno v:
New Journal of Physics, Vol 17, Iss 12, p 123007 (2015)
Many infrastructure networks have a modular structure and are also interdependent with other infrastructures. While significant research has explored the resilience of interdependent networks, there has been no analysis of the effects of modularity.
Externí odkaz:
https://doaj.org/article/2f0285c2290b46faa1f7ef205ec999de
Autor:
William Weir, Justin G. Trogdon, Saray Shai, Karen B Stitzenberg, Tzy-Mey Kuo, Peter J. Mucha, Anne Marie Meyer
Publikováno v:
J Gen Intern Med
BACKGROUND: Measuring care coordination in administrative data facilitates important research to improve care quality. OBJECTIVE: To compare shared patient networks constructed from administrative claims data across multiple payers. DESIGN: Social ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4309a130212512930592f51edf4639c5
https://europepmc.org/articles/PMC6816773/
https://europepmc.org/articles/PMC6816773/
Publikováno v:
IEEE Transactions on Network Science and Engineering. 3:95-105
Multilayer networks are a useful data structure for simultaneously capturing multiple types of relationships between a set of nodes. In such networks, each relational definition gives rise to a layer. While each layer provides its own set of informat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f22490b47e5465140b5ae8d49e9c8b8
https://doi.org/10.1109/tnse.2016.2537545
https://doi.org/10.1109/tnse.2016.2537545