The graph represents a network of 1,243 Twitter users whose recent tweets contained "#COLeg", 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, 06 May 2020 at 16:32 UTC.
The tweets in the network were tweeted over the 8-day, 10-hour, 58-minute period from Tuesday, 28 April 2020 at 05:28 UTC to Wednesday, 06 May 2020 at 16:26 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 : 1249
Unique Edges : 2402
Edges With Duplicates : 1944
Total Edges : 4346
Number of Edge Types : 5
Mentions : 1048
Tweet : 508
Retweet : 1383
MentionsInRetweet : 1032
Replies to : 375
Self-Loops : 524
Reciprocated Vertex Pair Ratio : 0.0340823970037453
Reciprocated Edge Ratio : 0.0659181455994205
Connected Components : 36
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 1190
Maximum Edges in a Connected Component : 4278
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.103458
Graph Density : 0.00177128882593254
Modularity : 0.470509
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 1,243 Twitter users whose recent tweets contained "#COLeg", 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, 06 May 2020 at 16:32 UTC.
The tweets in the network were tweeted over the 8-day, 10-hour, 58-minute period from Tuesday, 28 April 2020 at 05:28 UTC to Wednesday, 06 May 2020 at 16:26 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 : #COLeg
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[909] #copolitics,#coleg [643] #coleg,#copolitics [258] #coleg,#cogov [229] #cogov,#cosen [133] #doingmypartco,#copolitics [116] police,officer [116] himself,ex [116] ex,wife [112] #copolitics,#doingmypartco [107] kill,himself Top Word Pairs in Tweet in G1:
[416] #copolitics,#coleg [210] #coleg,#cogov [204] #cogov,#cosen [141] #coleg,#copolitics [126] #doingmypartco,#copolitics [38] #coleg,#cosen [36] #cosen,#coronavirus [36] background,checks [35] sexual,assault [34] joe,biden Top Word Pairs in Tweet in G2:
[120] #coleg,#copolitics [95] #copolitics,#coleg [56] #copolitics,#copols [56] #copols,#coleg [33] health,care [25] #coleg,#covid19 [24] during,#covid19 [24] ag,pweiser [22] more,#coleg [20] read,more Top Word Pairs in Tweet in G3:
[114] police,officer [114] himself,ex [114] ex,wife [105] police,rifle [105] rifle,colorado [105] colorado,filed [105] filed,extreme [105] extreme,risk [105] risk,protection [105] protection,order Top Word Pairs in Tweet in G4:
[130] #copolitics,#coleg [58] #coleg,#copolitics [19] #colorado,#copolitics [16] #p2,#pda [16] #pda,#1u [16] #coleg,#capolitics [16] #capolitics,#mopolitics [13] #coleg,govofco [11] public,health [11] oil,gas Top Word Pairs in Tweet in G5:
[75] #copolitics,#coleg [46] #coleg,#copolitics [22] #tcot,#gop [21] govofco,#coleg [20] #copolitics,govofco [19] #reopencolorado,#gop [18] #coleg,#reopencolorado [16] coloradans,wanted [16] wanted,live [16] live,california Top Word Pairs in Tweet in G6:
[142] #coleg,#copolitics [59] #copolitics,#doingmypartco [35] paid,family [27] state,budget [27] budget,cuts [24] local,governments [21] budget,facing [21] facing,billion [21] billion,budget [21] cuts,#covid19 Top Word Pairs in Tweet in G7:
[25] thank,govofco [24] colorado,established [24] established,worker [24] worker,racial [24] racial,health [24] health,disparities [24] disparities,hotline [24] hotline,thank [24] govofco,leadership [24] leadership,lives Top Word Pairs in Tweet in G8:
[30] #coleg,#copolitics [23] public,health [23] #copolitics,#coleg [20] ordering,postcard [20] postcard,stamps [20] stamps,tomorrow [20] tomorrow,10 [20] 10,donation [20] donation,sends [20] sends,30 Top Word Pairs in Tweet in G9:
[81] #copolitics,#coleg [25] colorado,democrats [24] #coleg,#cogov [21] democrats,abandon [21] abandon,2020 [21] 2020,effort [21] effort,pass [21] pass,public [21] public,health [21] health,insurance Top Word Pairs in Tweet in G10:
[29] #copolitics,#coleg [10] math,68 [8] reading,std [8] std,70 [8] 70,grd6 [8] 68,grd8 [8] sat,scores [8] scores,falling [6] #edcolo,#copolitics [6] #coleg,#copolitics Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: