The graph represents a network of 7,599 Twitter users whose recent tweets contained ""@RachelBitecofer"", 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, 06 February 2020 at 15:39 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 5-minute period from Wednesday, 29 January 2020 at 15:30 UTC to Thursday, 06 February 2020 at 15:36 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 : 7599
Unique Edges : 13165
Edges With Duplicates : 13185
Total Edges : 26350
Self-Loops : 224
Reciprocated Vertex Pair Ratio : 0.0253274567012229
Reciprocated Edge Ratio : 0.0494036447296725
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 7599
Maximum Edges in a Connected Component : 26350
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.267551
Graph Density : 0.000286072054548123
Modularity : 0.367814
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 7,599 Twitter users whose recent tweets contained ""@RachelBitecofer"", 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, 06 February 2020 at 15:39 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 5-minute period from Wednesday, 29 January 2020 at 15:30 UTC to Thursday, 06 February 2020 at 15:36 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 : "@RachelBitecofer"
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Relationship
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1061] trump,campaign [839] failed,convict [839] refused,convict [838] acquitted,failed [837] senate,acquitted [837] convict,even [837] even,refused [836] media,instead [836] instead,senate [836] convict,s Top Word Pairs in Tweet in G1:
[652] failed,convict [651] acquitted,failed [650] convict,even [650] even,refused [650] refused,convict [649] media,instead [649] instead,senate [649] senate,acquitted [649] convict,s [649] s,thing Top Word Pairs in Tweet in G2:
[186] rachelbitecofer,petebuttigieg [173] trump,campaign [147] right,now [110] petebuttigieg,joebiden [109] rachelbitecofer,parscale [107] rachelbitecofer,morning_joe [102] morning_joe,hardballchris [99] remind,everyone [90] adamschiff,question [89] set,up Top Word Pairs in Tweet in G3:
[277] paper,trail [275] ia,caucus [274] highly,regulated [273] regulated,paper [272] results,caucus [272] caucus,delayed [272] delayed,amp [272] amp,mess [272] mess,actually [272] actually,reliable Top Word Pairs in Tweet in G4:
[489] trump,campaign [240] put,out [237] being,paid [236] drjillstein,being [236] paid,put [236] out,dem [236] dem,exit [236] exit,tweets [236] tweets,gop [236] gop,trump Top Word Pairs in Tweet in G5:
[174] civil,rights [173] dougjones,american [173] american,hero [173] hero,civil [173] rights,champion [173] champion,oath [173] oath,keeper [65] oath,office [64] rule,law [63] tell,dougjones Top Word Pairs in Tweet in G6:
[46] mittromney,donations [45] everyone,flood [45] flood,mittromney [45] donations,calls [45] calls,thanking [45] thanking,service [45] service,america [43] rashidatlaib,hillaryclinton [43] rachelbitecofer,petebuttigieg [39] rachelbitecofer,rashidatlaib Top Word Pairs in Tweet in G7:
[192] politics_polls,ppollingnumbers [121] jmilescoleman,rachelbitecofer [121] rachelbitecofer,marcushjohnson [121] marcushjohnson,drjasonjohnson [121] drjasonjohnson,frankluntz [121] frankluntz,gelliottmorris [120] ppollingnumbers,senhorraposa [120] senhorraposa,jmilescoleman [82] ppollingnumbers,jmilescoleman [82] 2020delegates,rachelbitecofer Top Word Pairs in Tweet in G8:
[46] amjoyshow,rachelbitecofer [29] joyannreid,amjoyshow [28] rachelbitecofer,msnbc [23] msnbc,joyannreid [15] put,out [14] 7,15 [13] tune,msnbc [13] msnbc,7 [13] 15,join [13] join,fabulous Top Word Pairs in Tweet in G9:
[23] rachelbitecofer,ronlpitts [8] don,t [5] isn,t [5] trump,supporters [4] ben,jealous [4] el,sayed [3] both,sides [3] rachelbitecofer,very [3] very,positive [3] positive,act Top Word Pairs in Tweet in G10:
[54] seungminkim,jessicataylor [33] anti,trump [30] lol,tell [30] tell,election [30] election,forecaster [30] forecaster,anti [30] trump,voters [30] voters,pissed [30] pissed,before [30] before,now Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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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:
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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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: