Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Development of a Python Package to Create and Analyze Mobility Networks.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Development of a Python Package to Create and Analyze Mobility Networks./
Author:
Janardhanan, Abhilash.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:
34 p.
Notes:
Source: Masters Abstracts International, Volume: 83-05.
Contained By:
Masters Abstracts International83-05.
Subject:
Operations research. -
Online resource:
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:
573517
Operations research.
Subjects--Index Terms:
Covid-19
Development of a Python Package to Create and Analyze Mobility Networks.
LDR
:02011nam a2200385 4500
001
1067255
005
20220823142329.5
008
221020s2021 ||||||||||||||||| ||eng d
020
$a
9798480644944
035
$a
(MiAaPQ)AAI28769405
035
$a
AAI28769405
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Janardhanan, Abhilash.
$3
1372752
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
Operations research.
$3
573517
650
4
$a
Information science.
$3
561178
650
4
$a
Computer science.
$3
573171
650
4
$a
Artificial intelligence.
$3
559380
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.
790
$a
0160
791
$a
M.Sc.
792
$a
2021
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28769405
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login