The graph represents a network of 15,180 Twitter users whose recent tweets contained "#GetMePPE", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 26 March 2020 at 18:15 UTC.
The tweets in the network were tweeted over the 2-day, 19-hour, 59-minute period from Monday, 23 March 2020 at 21:17 UTC to Thursday, 26 March 2020 at 17:16 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 15180
Unique Edges : 24499
Edges With Duplicates : 6661
Total Edges : 31160
Number of Edge Types : 5
Replies to : 2230
Mentions : 6784
MentionsInRetweet : 12343
Retweet : 8261
Tweet : 1542
Self-Loops : 1580
Reciprocated Vertex Pair Ratio : 0.00551174766655938
Reciprocated Edge Ratio : 0.0109630696595047
Connected Components : 706
Single-Vertex Connected Components : 416
Maximum Vertices in a Connected Component : 13711
Maximum Edges in a Connected Component : 29473
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.433972
Graph Density : 0.000108468455612823
Modularity : 0.668967
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 15,180 Twitter users whose recent tweets contained "#GetMePPE", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 26 March 2020 at 18:15 UTC.
The tweets in the network were tweeted over the 2-day, 19-hour, 59-minute period from Monday, 23 March 2020 at 21:17 UTC to Thursday, 26 March 2020 at 17:16 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #GetMePPE
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3645] healthcare,workers [3503] protective,equipment [2065] n95,masks [1838] equipment,need [1831] workers,frontlines [1821] please,visit [1817] make,masks [1814] effort,#getmeppe [1813] frontlines,#covid19 [1811] masks,please Top Word Pairs in Tweet in G1:
[860] health,care [855] care,workers [766] n95,masks [749] workers,need [747] introduced,bill [747] bill,senatorbaldwin [747] senatorbaldwin,require [747] require,immediate [747] immediate,government [747] government,purchase Top Word Pairs in Tweet in G2:
[895] protective,equipment [835] personal,protective [676] healthcare,workers [572] test,kits [568] front,lines [540] need,more [536] more,ppe [533] workers,front [532] physicians,healthcare [530] lines,fighting Top Word Pairs in Tweet in G3:
[1405] ll,deliver [1405] deliver,copy [1405] copy,officials [1405] officials,last [1405] last,delivered [1361] signing,need [1361] need,rapidly [1361] rapidly,increase [1361] increase,ppe [1361] ppe,mass Top Word Pairs in Tweet in G4:
[1648] protective,equipment [1647] healthcare,workers [1618] workers,frontlines [1618] frontlines,#covid19 [1617] #covid19,day [1617] day,don [1617] don,protective [1617] equipment,need [1617] need,keep [1617] keep,themselves Top Word Pairs in Tweet in G5:
[913] n95,masks [911] project,n95 [804] breaking,big [804] big,news [804] news,national [804] national,resource [804] resource,clearinghouse [804] clearinghouse,n95 [804] masks,place [804] place,go Top Word Pairs in Tweet in G6:
[230] 24,hr [181] cloth,masks [177] masks,#getmeppe [175] surgical,masks [174] appropriate,ppe [173] nurses,wearing [173] wearing,cloth [173] masks,evidence [173] evidence,shows [173] shows,ineffective Top Word Pairs in Tweet in G7:
[1160] health,workers [580] white,house [580] house,playbook [580] playbook,obtained [580] obtained,nahaltoosi [580] nahaltoosi,urges [580] urges,leaders [580] leaders,consider [580] consider,key [580] key,questions Top Word Pairs in Tweet in G8:
[364] icu,nyc [364] nyc,#covid19 [364] #covid19,#covid_19 [364] #covid_19,#ppe [364] #ppe,#getmeppe [364] #getmeppe,#healthcareworkers [364] #healthcareworkers,#doctor [364] #doctor,#medtwitter [30] safe,#getmeppe [29] one,n95 Top Word Pairs in Tweet in G9:
[43] protective,equipment [40] personal,protective [38] covid,19 [31] equipment,ppe [31] #getmeppe,#covid19 [28] ppe,work [28] care,covid [28] possible,#getmeppe [27] experiencing,severe [27] severe,shortages Top Word Pairs in Tweet in G10:
[211] #projectn95,#pn95 [211] #pn95,#getmeppe [207] rapidly,growing [207] growing,numbers [207] numbers,available [207] available,realtime [207] realtime,currently [207] currently,600 [207] 600,institution [207] institution,requests Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: