The graph represents a network of 10,189 Twitter users whose tweets in the requested range contained "healthcare", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 19 December 2022 at 06:11 UTC.
The requested start date was Monday, 19 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 0-hour, 40-minute period from Thursday, 15 December 2022 at 10:29 UTC to Sunday, 18 December 2022 at 11:09 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 : 10189
Unique Edges : 6421
Edges With Duplicates : 11671
Total Edges : 18092
Number of Edge Types : 5
Replies to : 1357
Tweet : 2223
Retweet : 4663
MentionsInRetweet : 6878
Mentions : 2971
Self-Loops : 2279
Reciprocated Vertex Pair Ratio : 0.00825772249974513
Reciprocated Edge Ratio : 0.0163801820020222
Connected Components : 2491
Single-Vertex Connected Components : 996
Maximum Vertices in a Connected Component : 3221
Maximum Edges in a Connected Component : 8395
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 9.384161
Graph Density : 9.52743058048197E-05
Modularity : 0.582352
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 10,189 Twitter users whose tweets in the requested range contained "healthcare", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 19 December 2022 at 06:11 UTC.
The requested start date was Monday, 19 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 0-hour, 40-minute period from Thursday, 15 December 2022 at 10:29 UTC to Sunday, 18 December 2022 at 11:09 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 : GraphServerTwitterSearch
Graph Term : healthcare
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:
[571] healthcare,shouldn [563] shouldn,tied [376] tied,employment [371] employment,healthcare [364] autonomy,governors [364] governors,against [363] free,healthcare [310] healthcare,system [301] 858,billion [299] billion,dollars Top Word Pairs in Tweet in G1:
[47] education,healthcare [30] #health,#healthcare [29] healthcare,system [29] healthcare,sectors [28] three,projects [24] nepal,government [24] signs,mous [24] india,signs [24] mous,three [24] projects,nepal Top Word Pairs in Tweet in G2:
[278] pretty,weird [278] needs,toys [278] always,858 [278] lying,around [278] military,needs [278] 858,billion [278] whenever,military [278] weird,always [278] billion,dollars [278] around,whenever Top Word Pairs in Tweet in G3:
[549] healthcare,shouldn [548] shouldn,tied [363] tied,employment [360] employment,healthcare [184] amy4thepeople,healthcare [56] 000,000 [28] musk,stuff [28] stuff,distract [28] fact,last [28] senate,passed Top Word Pairs in Tweet in G4:
[76] pay,campaign [76] campaign,ys [76] nurse,tweeting [76] tweeting,healthcare [76] ys,looking [76] healthcare,pay [63] #socialistsunday,nurse [62] nurses,today [62] conducted,themselves [62] looking,conn Top Word Pairs in Tweet in G5:
[207] _africanunion,eu_commission [207] auc_moussafaki,oolusegun_obj [205] potus,statedept [204] secblinken,auc_moussafaki [200] eu_commission,secblinken [191] statedept,_africanunion [190] dear,potus [157] oolusegun_obj,phumlambongcuka [79] system,tigray [77] fighting,urgent Top Word Pairs in Tweet in G6:
[221] free,healthcare [204] biden,administration [204] healthcare,illegal [204] approving,free [204] illegal,immigrants [204] administration,approving [203] marshablackburn,biden [8] article,approval [8] purchase,health [8] read,article Top Word Pairs in Tweet in G7:
[21] healthcare,funding [20] federal,healthcare [19] healthcare,transfers [19] seems,cbc [19] narrative,trudeau [19] withholding,needed [19] government,withholding [19] cbc,pushing [19] trudeau,government [19] bump,healthcare Top Word Pairs in Tweet in G8:
[364] autonomy,governors [364] governors,against [182] governors,ones [182] against,lga [182] against,judicial [182] ones,owing [182] owing,salaries [182] judicial,autonomy [182] lga,autonomy [182] salaries,pension Top Word Pairs in Tweet in G9:
[40] private,healthcare [12] saffiya_khan1,bethrigby [11] insurance,based [10] healthcare,along [10] trying,conceal [10] barely,trying [10] conceal,wish [10] bethrigby,barely [10] based,healthcare [10] wish,install Top Word Pairs in Tweet in G10:
[36] outsourcing,kills [36] idea,ushering [36] threat,idea [36] under,threat [36] already,under [36] ushering,more [36] more,privatisation [36] kills,time [36] time,nhs [36] nhs,already Top Replied-To in Entire Graph:
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:
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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: