The graph represents a network of 9,174 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 September 2022 at 05:09 UTC.
The requested start date was Monday, 19 September 2022 at 00:01 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 2-day, 0-hour, 33-minute period from Wednesday, 14 September 2022 at 10:36 UTC to Friday, 16 September 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 : 9174
Unique Edges : 4824
Edges With Duplicates : 11903
Total Edges : 16727
Number of Edge Types : 5
Replies to : 891
Mentions : 2149
Retweet : 5518
MentionsInRetweet : 6464
Tweet : 1705
Self-Loops : 1751
Reciprocated Vertex Pair Ratio : 0.0105394378966455
Reciprocated Edge Ratio : 0.0208590333071661
Connected Components : 2021
Single-Vertex Connected Components : 737
Maximum Vertices in a Connected Component : 2795
Maximum Edges in a Connected Component : 7013
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 9.079871
Graph Density : 0.000105961631693624
Modularity : 0.561699
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 9,174 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 September 2022 at 05:09 UTC.
The requested start date was Monday, 19 September 2022 at 00:01 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 2-day, 0-hour, 33-minute period from Wednesday, 14 September 2022 at 10:36 UTC to Friday, 16 September 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:
[783] allies,forces [783] forces,pillaged [783] pillaged,targeted [783] targeted,homes [776] homes,civilian [774] impact,destruction [760] ethiopian,allies [759] infrastructure,impact [757] civilian,infrastructure [358] island,jumped Top Word Pairs in Tweet in G1:
[23] healthcare,workers [15] #health,#healthcare [12] read,more [12] free,healthcare [12] healthcare,professionals [12] healthcare,services [11] access,healthcare [11] healthcare,system [11] united,states [11] allarity,therapeutics Top Word Pairs in Tweet in G2:
[330] island,jumped [330] jumped,action [330] action,putting [330] putting,together [330] together,50 [330] 50,beds [330] beds,giving [330] giving,everyone [330] everyone,good [330] good,meal Top Word Pairs in Tweet in G3:
[780] allies,forces [780] forces,pillaged [780] pillaged,targeted [780] targeted,homes [773] homes,civilian [771] impact,destruction [757] ethiopian,allies [756] infrastructure,impact [754] civilian,infrastructure [235] 20,ethiopian Top Word Pairs in Tweet in G4:
[299] healthcare,need [299] need,nhs [299] nhs,government [299] government,think [299] think,deserve [298] michaelrosenyes,healthcare [3] goodlawproject,thank [3] thank,speaking [3] speaking,climate [3] climate,crisis Top Word Pairs in Tweet in G5:
[97] year,old [48] yr,old [45] 41,year [45] old,physician [45] physician,health [45] health,administrator [45] administrator,married [45] married,amazing [45] amazing,children [45] children,work Top Word Pairs in Tweet in G6:
[22] liver,cancer [16] #ceo,betting [16] betting,#ai [16] #ai,solve [16] solve,world [16] world,biggest [16] biggest,problems [16] problems,psb_dc [16] psb_dc,#techforgood [15] shi4tech,#ceo Top Word Pairs in Tweet in G7:
[25] covid,19 [23] end,covid [23] never,better [23] better,position [23] position,end [21] world,never [21] pandemic,head [21] head,world [21] world,health [21] health,organization Top Word Pairs in Tweet in G8:
[134] 声明をちゃんと読みましょう,終息が視野に入ったからこそ [134] 終息が視野に入ったからこそ,しっかりとワクチンやマスク等の感染対策を油断することなく行い [134] しっかりとワクチンやマスク等の感染対策を油断することなく行い,しっかりとエンデミックにもっていこう [134] しっかりとエンデミックにもっていこう,という声明です [134] という声明です,ワクチンやマスクを止めろなんて [134] ワクチンやマスクを止めろなんて,一言も書いていません [133] mikito_777,声明をちゃんと読みましょう Top Word Pairs in Tweet in G9:
[130] thérèse,coffey [130] healthcare,workers [110] workers,telling [110] avoid,using [109] coffey,riled [109] riled,healthcare [109] telling,avoid [109] using,oxford [109] oxford,comma [107] health,secretary Top Word Pairs in Tweet in G10:
[122] occupydemocrats,breaking [75] rep,jamie [75] jamie,raskin [75] republican,party [75] busybody,theocrat [75] theocrat,politicians [72] breaking,democratic [72] democratic,rep [72] raskin,destroys [72] destroys,republican Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: