The graph represents a network of 14,694 Twitter users whose recent tweets contained "#BailOutPeopleNotCorporations", 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 Wednesday, 25 March 2020 at 04:23 UTC.
The tweets in the network were tweeted over the 1-day, 2-hour, 42-minute period from Tuesday, 24 March 2020 at 00:29 UTC to Wednesday, 25 March 2020 at 03:11 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 : 14694
Unique Edges : 21578
Edges With Duplicates : 2430
Total Edges : 24008
Number of Edge Types : 5
Replies to : 2911
Retweet : 12320
Tweet : 2024
Mentions : 2079
MentionsInRetweet : 4674
Self-Loops : 2073
Reciprocated Vertex Pair Ratio : 0.000523709769567701
Reciprocated Edge Ratio : 0.00104687128241732
Connected Components : 993
Single-Vertex Connected Components : 669
Maximum Vertices in a Connected Component : 13069
Maximum Edges in a Connected Component : 22239
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.225801
Graph Density : 9.73372069604676E-05
Modularity : 0.710058
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 14,694 Twitter users whose recent tweets contained "#BailOutPeopleNotCorporations", 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 Wednesday, 25 March 2020 at 04:23 UTC.
The tweets in the network were tweeted over the 1-day, 2-hour, 42-minute period from Tuesday, 24 March 2020 at 00:29 UTC to Wednesday, 25 March 2020 at 03:11 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 : #BailOutPeopleNotCorporations
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:
[1842] people,help [1838] help,need [1837] saying,#bailoutpeoplenotcorporations [1834] back,taxpayers [1834] need,keep [1834] keep,saying [1833] once,bailout [1833] bailout,genie [1833] genie,bottle [1833] bottle,nothing Top Word Pairs in Tweet in G1:
[1632] once,bailout [1632] bailout,genie [1632] genie,bottle [1632] bottle,nothing [1632] nothing,government [1632] government,back [1632] back,taxpayers [1632] taxpayers,shafted [1632] shafted,people [1632] people,help Top Word Pairs in Tweet in G2:
[341] save,lives [293] pushing,#bailoutpeoplenotcorporations [284] test,kits [284] kits,masks [284] masks,ventilators [284] ventilators,necessary [284] necessary,supplies [284] supplies,save [284] lives,those [284] those,risk Top Word Pairs in Tweet in G3:
[379] realdonaldtrump,stand [379] stand,#bailoutpeoplenotcorporations [116] american,people [108] #trumpliespeopledie,#bailoutpeoplenotcorporations [106] #bailoutpeoplenotcorporations,#bailoutpeoplenotcorporations [106] speak,clairecmc [106] clairecmc,straight [106] straight,truth [106] truth,realdonaldtrump [106] realdonaldtrump,incompetence Top Word Pairs in Tweet in G4:
[880] #covid19,#coronavirus [880] #bailoutpeoplenotcorporations,#gopslushfund [880] #trumpvirus,#lockdownnow [879] #coronavirus,#trumpdemic [879] #trumpdemic,#coronapocalypse [879] #coronapocalypse,#bailoutpeoplenotcorporations [879] #gopslushfund,#lockdown [879] #lockdown,#pressbriefing [879] #pressbriefing,#trumpvirus [877] #trumpliesamericansdie,#covid19 Top Word Pairs in Tweet in G5:
[473] speakerpelosi,senschumer [426] #senatedemocrats,blocking [425] #trumpcrash,#bailoutpeoplenotcorporations [424] americans,infuriated [424] infuriated,speakerpelosi [424] senschumer,#senatedemocrats [424] blocking,desperately [424] desperately,needed [424] needed,assistance [424] assistance,businesses Top Word Pairs in Tweet in G6:
[30] #bailoutpeoplenotcorporations,#bailoutthepeople [14] #notdying4wallstreet,#bailoutpeoplenotcorporations [13] wall,street [13] #coronavirus,#bailoutpeoplenotcorporations [12] #bailoutpeoplenotcorporations,#trumpslushfund [11] #bailoutpeoplenotcorporations,#bailoutpeoplenotcorporations [11] 000,000 [10] #covid19,#coronavirus [9] need,help [9] #bailoutthepeople,#bailoutpeoplenotcorporations Top Word Pairs in Tweet in G7:
[1196] million,lost [598] '08,fed [598] fed,treasury [598] treasury,gave [598] gave,bank [598] bank,824 [598] 824,billion [598] billion,bailout [598] bailout,strings [598] strings,attached Top Word Pairs in Tweet in G8:
[512] #nocorporatebailouts,#bailoutpeoplenotcorporations [508] getting,right [508] right,senategop [508] senategop,believes [508] believes,single [508] single,mother [508] mother,needs [508] needs,pull [508] pull,herself [508] herself,bootstraps Top Word Pairs in Tweet in G9:
[463] slush,fund [463] big,corporations [463] people,first [462] clear,mitch [462] mitch,mcconnell's [462] mcconnell's,slush [462] fund,isn [462] isn,workers [462] workers,families [462] families,big Top Word Pairs in Tweet in G10:
[373] #bailoutpeoplenotcorporations,#covidactnow [369] reminder,trump [369] trump,won [369] won,order [369] order,vital [369] vital,coronavirus [369] coronavirus,supplies [369] supplies,ceos [369] ceos,asked [369] asked,re Top Replied-To in Entire Graph:
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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 G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G10: