The graph represents a network of 15,805 Twitter users whose recent tweets contained "#PPEShortage", 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 Sunday, 22 March 2020 at 18:35 UTC.
The tweets in the network were tweeted over the 2-day, 18-hour, 42-minute period from Thursday, 19 March 2020 at 22:09 UTC to Sunday, 22 March 2020 at 16:51 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 : 15805
Unique Edges : 25092
Edges With Duplicates : 2789
Total Edges : 27881
Number of Edge Types : 5
Retweet : 10187
Tweet : 1869
Replies to : 2588
MentionsInRetweet : 10009
Mentions : 3228
Self-Loops : 1915
Reciprocated Vertex Pair Ratio : 0.00319398398964987
Reciprocated Edge Ratio : 0.00636762987143836
Connected Components : 1074
Single-Vertex Connected Components : 687
Maximum Vertices in a Connected Component : 13810
Maximum Edges in a Connected Component : 25700
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.636394
Graph Density : 9.93385357852933E-05
Modularity : 0.773369
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 15,805 Twitter users whose recent tweets contained "#PPEShortage", 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 Sunday, 22 March 2020 at 18:35 UTC.
The tweets in the network were tweeted over the 2-day, 18-hour, 42-minute period from Thursday, 19 March 2020 at 22:09 UTC to Sunday, 22 March 2020 at 16:51 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 : #PPEShortage
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:
[2011] front,line [1856] health,workers [1839] national,stockpile [1836] strategic,national [1833] line,health [1826] ppe,front [1824] workers,never [1821] wait,strategic [1821] stockpile,ppe [1821] never,mentioned Top Word Pairs in Tweet in G1:
[161] healthcare,workers [130] #ppeshortage,potus [128] mess,presidents [128] presidents,stood [128] stood,allowed [128] allowed,90 [128] 90,drugs [128] drugs,goods [128] goods,made [128] made,#china Top Word Pairs in Tweet in G2:
[300] healthcare,workers [237] press,conference [235] #ppeshortage,#saveworkers [227] masks,ppe [224] trump,pence [223] pence,straight [223] straight,lying [223] lying,press [223] conference,masks [223] ppe,insane Top Word Pairs in Tweet in G3:
[1540] wait,strategic [1540] strategic,national [1540] national,stockpile [1540] stockpile,ppe [1540] ppe,front [1540] front,line [1540] line,health [1540] health,workers [1540] workers,never [1540] never,mentioned Top Word Pairs in Tweet in G4:
[678] masks,#ppeshortage [641] health,care [637] respond,projected [637] projected,covid [637] covid,19 [637] 19,outbreak [637] outbreak,heard [637] heard,health [637] care,providers [637] providers,reusing Top Word Pairs in Tweet in G5:
[326] #ppeshortage,#ppeisnotoptional [316] spent,afternoon [316] afternoon,many [316] many,hopkinsmedicine [316] hopkinsmedicine,colleagues [316] colleagues,making [316] making,#ppe [316] #ppe,staff [316] staff,sharing [316] sharing,permission Top Word Pairs in Tweet in G6:
[474] trump,administration [474] administration,itself [474] itself,knew [474] knew,long [474] long,advance [474] advance,there'd [474] there'd,#ppeshortage [474] #ppeshortage,read [474] read,#crimsoncontagion [474] #crimsoncontagion,report Top Word Pairs in Tweet in G7:
[379] #ppeshortage,#millionmaskmayday [260] face,shields [232] need,masks [228] please,share [225] central,point [225] patterns,information [225] desperate,need [223] point,patterns [223] information,support [223] share,medical Top Word Pairs in Tweet in G8:
[44] #ppe,#ppeshortage [34] #ppeshortage,#ppe [31] #covid19,#ppeshortage [28] healthcare,workers [28] #covid_19,#ppeshortage [26] #ppeshortage,#ppenow [25] #ppeshortage,#covid_19 [23] #ppeshortage,#ppeisnotoptional [20] #ppeshortage,#covid19 [20] face,masks Top Word Pairs in Tweet in G9:
[440] sadly,week [440] week,two [440] two,behind [440] behind,#italy [440] #italy,#coronavirusoutbreak [440] #coronavirusoutbreak,warned [440] warned,expect [440] expect,explosion [440] explosion,#coronavirus [440] #coronavirus,cases Top Word Pairs in Tweet in G10:
[478] #ppeshortage,win [478] win,tested [478] tested,fire [478] fire,crisis [478] crisis,trump [478] trump,showed [478] showed,always [478] always,weak [478] weak,spoiled [478] spoiled,intellectually Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: