國立虎尾科技大學 |

Development of a Python Package to Create and Analyze Mobility Networks.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Development of a Python Package to Create and Analyze Mobility Networks./
作者:	Janardhanan, Abhilash.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	34 p.
附註:	Source: Masters Abstracts International, Volume: 83-05.
Contained By:	Masters Abstracts International83-05.
標題:	Artificial intelligence. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28769405
ISBN:	9798480644944

Development of a Python Package to Create and Analyze Mobility Networks.
Janardhanan, Abhilash.

Development of a Python Package to Create and Analyze Mobility Networks. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 34 p.

Source: Masters Abstracts International, Volume: 83-05.

Thesis (M.Sc.)--Northeastern University, 2021.

This item must not be sold to any third party vendors.

With the Covid-19 pandemic at large people followed social distancing norms either due to government policy or as a response of self preservation. To gain situational awareness of the human movement and to understand efficacy of policies in place we can use Mobility data. SafeGraph is a company that provides one such mobility data that has been used by multiple researchers in their analysis towards understanding the response to Covid-19. In this thesis,we present a python package that allows researchers to perform quick and reproducible data wrangling operations on the SafeGraph social distancing metrics dataset to obtain mobility networks. We walkthrough the different functionalities that the package offers in obtaining variations on the mobility networks as well as provide additional helper functions that allow users to perform common tasks with the mobility networks.

ISBN: 9798480644944Subjects--Topical Terms:

559380
Artificial intelligence.
Subjects--Index Terms:

Covid-19

Development of a Python Package to Create and Analyze Mobility Networks.
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245 1 0 $a Development of a Python Package to Create and Analyze Mobility Networks.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 34 p.
500 $a Source: Masters Abstracts International, Volume: 83-05.
500 $a Advisor: Heydari, Babak.
502 $a Thesis (M.Sc.)--Northeastern University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a With the Covid-19 pandemic at large people followed social distancing norms either due to government policy or as a response of self preservation. To gain situational awareness of the human movement and to understand efficacy of policies in place we can use Mobility data. SafeGraph is a company that provides one such mobility data that has been used by multiple researchers in their analysis towards understanding the response to Covid-19. In this thesis,we present a python package that allows researchers to perform quick and reproducible data wrangling operations on the SafeGraph social distancing metrics dataset to obtain mobility networks. We walkthrough the different functionalities that the package offers in obtaining variations on the mobility networks as well as provide additional helper functions that allow users to perform common tasks with the mobility networks.
590 $a School code: 0160.
650 4 $a Artificial intelligence. $3 559380
650 4 $a Computer science. $3 573171
650 4 $a Information science. $3 561178
650 4 $a Operations research. $3 573517
653 $a Covid-19
653 $a Mobility networks
653 $a Network science
653 $a Python
653 $a SafeGraph
690 $a 0796
690 $a 0723
690 $a 0984
690 $a 0800
710 2 $a Northeastern University. $b Mechanical and Industrial Engineering. $3 845717
773 0 $t Masters Abstracts International $g 83-05.
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791 $a M.Sc.
792 $a 2021
793 $a English
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