The graph represents a network of 18,393 Twitter users whose recent tweets contained "#COVIDActNow", 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 18:24 UTC.
The tweets in the network were tweeted over the 2-day, 4-hour, 13-minute period from Tuesday, 24 March 2020 at 13:02 UTC to Thursday, 26 March 2020 at 17:15 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 : 18393
Unique Edges : 21980
Edges With Duplicates : 3587
Total Edges : 25567
Number of Edge Types : 5
Retweet : 10878
Replies to : 1627
MentionsInRetweet : 5500
Tweet : 3347
Mentions : 4215
Self-Loops : 3517
Reciprocated Vertex Pair Ratio : 0.00206876169835484
Reciprocated Edge Ratio : 0.00412898151789225
Connected Components : 2873
Single-Vertex Connected Components : 1787
Maximum Vertices in a Connected Component : 12313
Maximum Edges in a Connected Component : 18507
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.404291
Graph Density : 6.01388083155773E-05
Modularity : 0.775487
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 18,393 Twitter users whose recent tweets contained "#COVIDActNow", 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 18:24 UTC.
The tweets in the network were tweeted over the 2-day, 4-hour, 13-minute period from Tuesday, 24 March 2020 at 13:02 UTC to Thursday, 26 March 2020 at 17:15 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 : #COVIDActNow
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:
[3322] #stayathomeorder,#covidactnow [3035] back,work [2929] medicare,paid [2929] paid,sick [2929] sick,leave [2929] leave,ubi [2929] ubi,stimulus [2919] going,back [2919] living,expenses [2918] need,#generalstrike Top Word Pairs in Tweet in G1:
[2751] medicare,paid [2751] paid,sick [2751] sick,leave [2751] leave,ubi [2751] ubi,stimulus [2742] #stayathomeorder,#covidactnow [2740] listen,#trump [2740] #trump,one [2740] one,going [2740] going,back Top Word Pairs in Tweet in G2:
[271] point,return [271] hospital,system [270] system,being [270] being,overloaded [268] intervention,prevent [267] return,intervention [265] overloaded,coronavirus [263] coronavirus,#covidactnow [239] #covid19,#covidactnow [236] covid,19 Top Word Pairs in Tweet in G3:
[177] #covid19,#covidactnow [92] #covidactnow,#covidー19 [77] #stayathomeorder,#covidactnow [76] social,distancing [68] #covidactnow,#covid19 [63] back,work [60] help,#covidactnow [60] need,help [58] yorkers,died [58] died,being Top Word Pairs in Tweet in G4:
[1056] spoke,owner [1056] owner,south [1056] south,carolina [1056] carolina,company [1056] company,repurposed [1056] repurposed,make [1056] make,n95 [1056] n95,masks [1056] masks,company [1056] company,capable Top Word Pairs in Tweet in G5:
[176] speakerpelosi,senschumer [142] senate,worked [142] worked,weekend [142] weekend,negotiate [142] negotiate,bill [142] bill,assist [142] assist,americans [142] americans,pelosi [142] pelosi,flies [142] flies,last Top Word Pairs in Tweet in G6:
[545] #covid19,#covidactnow [487] front,lines [485] exciting,update [485] update,health [485] health,canada [485] canada,certification [485] certification,ll [485] ll,shields [485] shields,way [485] way,front Top Word Pairs in Tweet in G7:
[333] n95,masks [319] obama,admin [319] admin,depleted [319] depleted,stockpile [319] stockpile,n95 [319] masks,used [319] used,fight [319] fight,h1n1 [319] h1n1,virus [319] virus,outbreak Top Word Pairs in Tweet in G8:
[81] hell,facebook [81] facebook,doing [81] doing,sitting [81] sitting,750 [81] 750,000 [81] 000,face [81] face,masks [81] masks,#covidactnow [81] #covidactnow,#lockdownnow [69] hey,dimwits Top Word Pairs in Tweet in G9:
[220] signing,act [220] act,ll [220] ll,deliver [220] deliver,copy [220] copy,officials [220] officials,last [220] last,delivered [52] point,return [50] being,overloaded [49] hospital,system Top Word Pairs in Tweet in G10:
[228] friend,nurse [228] nurse,people [228] people,hospitalized [228] hospitalized,#covid19 [228] #covid19,unit [228] unit,currently [228] currently,between [228] between,ages [228] ages,30 [228] 30,50 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: