The graph represents a network of 7,185 Twitter users whose recent tweets contained "CFPB", 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, 02 August 2020 at 18:36 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 32-minute period from Friday, 24 July 2020 at 18:09 UTC to Sunday, 02 August 2020 at 17:42 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 : 7258
Unique Edges : 12522
Edges With Duplicates : 30840
Total Edges : 43362
Number of Edge Types : 5
Mentions : 24995
Replies to : 2206
Tweet : 2630
Retweet : 5747
MentionsInRetweet : 7784
Self-Loops : 2660
Reciprocated Vertex Pair Ratio : 0.0324912280701754
Reciprocated Edge Ratio : 0.062937538231496
Connected Components : 483
Single-Vertex Connected Components : 294
Maximum Vertices in a Connected Component : 6352
Maximum Edges in a Connected Component : 41713
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.348954
Graph Density : 0.000279336153160888
Modularity : 0.276629
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,185 Twitter users whose recent tweets contained "CFPB", 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, 02 August 2020 at 18:36 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 32-minute period from Friday, 24 July 2020 at 18:09 UTC to Sunday, 02 August 2020 at 17:42 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 : CFPB
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:
[2452] leadership,miserable [2452] miserable,failure [2064] elizabeth,warren [1997] failure,based [1997] based,actions [1997] pandemic,resign [1996] actions,pandemic [1957] consumer,financial [1950] financial,protection [1942] protection,bureau Top Word Pairs in Tweet in G1:
[1251] payday,lenders [1240] rent,due [1238] eviction,moratorium [1237] expanded,unemployment [1237] turn,payday [1237] cfpb,helped [1236] millions,work [1236] work,eviction [1236] moratorium,gone [1236] gone,expanded Top Word Pairs in Tweet in G2:
[1669] elizabeth,warren [1668] warren,trump's [1668] trump's,director [1668] director,consumer [1668] consumer,financial [1668] financial,protection [1668] protection,bureau [1668] bureau,leadership [1668] leadership,miserable [1668] miserable,failure Top Word Pairs in Tweet in G3:
[189] elizabeth,warren [161] payday,lenders [147] director,kraninger [144] credit,card [144] cfpb,returned [142] card,companies [141] over,500 [141] 500,million [141] million,consumers [141] consumers,discriminated Top Word Pairs in Tweet in G4:
[346] cfpb,usocc [341] usocc,bankofamerica [341] bankofamerica,realdonaldtrump [341] agpambondi,kamalaharris [341] kamalaharris,pambondi [341] pambondi,fanniemae [341] fanniemae,fnha [341] fnha,hud [273] realdonaldtrump,agpambondi [272] wellsfargo,cfpb Top Word Pairs in Tweet in G5:
[66] thanks,trump [66] trump,helps [66] helps,companies [66] companies,prey [66] prey,instead [65] once,defended [65] consumers,thanks [64] cfpb,once [64] defended,consumers [37] cfpb,director Top Word Pairs in Tweet in G6:
[210] once,defended [210] helps,companies [210] companies,prey [210] prey,instead [209] cfpb,once [208] defended,consumers [208] consumers,thanks [208] thanks,trump [208] trump,helps [207] opinion,cfpb Top Word Pairs in Tweet in G7:
[270] payday,lenders [133] cfpb,director [131] middle,pandemic [131] pandemic,cfpb [131] director,kathy [131] kathy,kraninger [131] kraninger,supposed [131] supposed,consumer [131] consumer,watchdog [131] watchdog,rolled Top Word Pairs in Tweet in G8:
[9] bbb_us,cfpb [8] jamesforvest,jaxlzz [8] jaxlzz,aoc [7] watch,congress [7] congress,examines [7] examines,cfpb [7] cfpb,response [7] response,protecting [7] protecting,consumers [7] consumers,amid Top Word Pairs in Tweet in G9:
[23] sallyalbright,capricornio_uno [22] safety,net [17] capricornio_uno,pwm62 [16] pwm62,aliminish [14] sallyalbright,aliminish [14] justus4evr,sallyalbright [14] today,steelewheelz [12] during,covid [11] consumer,safety [10] pwm62,blackomen2021 Top Word Pairs in Tweet in G10:
[9] consumerreports,cfpb [5] customer,service [4] help_delhivery,jagograhakjago [4] jagograhakjago,irvpaswan [4] cfpb,consumerforum_ [3] delhivery,help_delhivery [3] jagograhakjago,cfpb [3] cfpb,pmoindia [3] multiple,issues [3] flipkart,flipkartsupport Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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: