The graph represents a network of 20,682 Twitter users whose recent tweets contained "Bankruptcy", 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, 03 May 2020 at 13:09 UTC.
The tweets in the network were tweeted over the 1-day, 12-hour, 25-minute period from Saturday, 02 May 2020 at 00:12 UTC to Sunday, 03 May 2020 at 12:38 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 : 20682
Unique Edges : 28303
Edges With Duplicates : 3033
Total Edges : 31336
Number of Edge Types : 5
Replies to : 5283
Retweet : 13318
MentionsInRetweet : 6074
Tweet : 2102
Mentions : 4559
Self-Loops : 2198
Reciprocated Vertex Pair Ratio : 0.00555313588850174
Reciprocated Edge Ratio : 0.0110449377368706
Connected Components : 2622
Single-Vertex Connected Components : 1101
Maximum Vertices in a Connected Component : 12679
Maximum Edges in a Connected Component : 22779
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 5.598063
Graph Density : 6.47730110312471E-05
Modularity : 0.831219
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 20,682 Twitter users whose recent tweets contained "Bankruptcy", 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, 03 May 2020 at 13:09 UTC.
The tweets in the network were tweeted over the 1-day, 12-hour, 25-minute period from Saturday, 02 May 2020 at 00:12 UTC to Sunday, 03 May 2020 at 12:38 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 : Bankruptcy
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:
[2153] tara,reade [1794] declaring,bankruptcy [1585] 2017,tara [1486] file,bankruptcy [1425] sexual,assault [1418] few,months [1414] next,bankruptcy [1414] fox,news [1413] bankruptcy,2017 [1410] bankruptcy,nyc Top Word Pairs in Tweet in G1:
[713] student,debt [635] discharge,student [515] voted,against [440] slate,bankruptcy [432] trillion,#studentdebtcrisis [382] clean,slate [380] joebiden,voted [368] american,families [345] debt,bankruptcy [327] financial,crisis Top Word Pairs in Tweet in G2:
[1240] sexual,assault [1237] tara,reade [1229] declaring,bankruptcy [1228] shortly,declaring [1228] bankruptcy,2017 [1228] 2017,tara [1228] reade,suddenly [1228] suddenly,became [1228] became,vocal [1228] vocal,supporter Top Word Pairs in Tweet in G3:
[1352] bankruptcy,nyc [1351] next,bankruptcy [1351] nyc,reopening [1351] reopening,still [1351] still,'a [1351] 'a,few [1351] few,months [1351] months,away [1351] away,minimum' [1351] minimum',blasio Top Word Pairs in Tweet in G4:
[103] file,bankruptcy [50] declare,bankruptcy [49] small,businesses [40] one,thing [40] thing,still [39] businesses,sba [39] sba,paycheck [39] paycheck,protection [39] protection,program [39] program,loans Top Word Pairs in Tweet in G5:
[718] file,bankruptcy [671] states,file [669] mitch,states [669] bankruptcy,republican [669] republican,democratic [669] democratic,governors [669] governors,know [669] know,destroy [669] destroy,efforts [669] efforts,rebuild Top Word Pairs in Tweet in G6:
[450] knew,managing [450] managing,pandemic [450] pandemic,harder [450] harder,running [450] running,sleazy [450] sleazy,casino [450] casino,bankruptcy [21] stonecold2050,accused [21] accused,different [21] different,people Top Word Pairs in Tweet in G7:
[142] declaring,bankruptcy [137] states,declaring [137] pure,evil [136] sen,kaine [136] kaine,senate [136] senate,majority [136] majority,leader [136] leader,mcconnell's [136] mcconnell's,remark [136] remark,states Top Word Pairs in Tweet in G8:
[438] tara,reade [340] filed,bankruptcy [328] praising,putin [325] remember,tara [325] reade,attacking [325] attacking,putin [325] putin,praising [325] praising,biden [325] biden,twitter [325] twitter,2017 Top Word Pairs in Tweet in G9:
[317] lisatjohansen,angrierwhstaff [317] angrierwhstaff,wagner_rob [317] wagner_rob,2017 [317] 2017,biden [317] biden,cheerleader [317] cheerleader,files [317] files,bankruptcy [317] bankruptcy,400k [317] 400k,2018 [317] 2018,becomes Top Word Pairs in Tweet in G10:
[55] #katyayan,#shameonmedia [55] #shameonmedia,#shameonmodi [55] #shameonmodi,#economiccrisis [55] #economiccrisis,#bankruptcy [55] #bankruptcy,#banks [55] #banks,#bjpagainstmaharashtra [55] #bjpagainstmaharashtra,#rbi [55] #rbi,#modimadedisaster [55] #modimadedisaster,#mumbai [35] file,bankruptcy Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: