The graph represents a network of 9,216 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, 05 December 2022 at 06:09 UTC.
The requested start date was Monday, 05 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, 31-minute period from Thursday, 01 December 2022 at 10:38 UTC to Sunday, 04 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 : 9216
Unique Edges : 5718
Edges With Duplicates : 11842
Total Edges : 17560
Number of Edge Types : 5
Retweet : 5374
MentionsInRetweet : 6348
Replies to : 975
Tweet : 1761
Mentions : 3102
Self-Loops : 1812
Reciprocated Vertex Pair Ratio : 0.0109628710311304
Reciprocated Edge Ratio : 0.0216879795396419
Connected Components : 2136
Single-Vertex Connected Components : 737
Maximum Vertices in a Connected Component : 2239
Maximum Edges in a Connected Component : 7124
Maximum Geodesic Distance (Diameter) : 40
Average Geodesic Distance : 13.148356
Graph Density : 0.000115100963857238
Modularity : 0.578044
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 9,216 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, 05 December 2022 at 06:09 UTC.
The requested start date was Monday, 05 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, 31-minute period from Thursday, 01 December 2022 at 10:38 UTC to Sunday, 04 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:
[590] without,access [579] years,without [562] desperate,years [536] access,proper [516] healthcare,nutrition [499] proper,healthcare [490] people,tigray [490] tigray,desperate [445] healthcare,system [419] basic,services Top Word Pairs in Tweet in G1:
[26] healthcare,system [25] free,healthcare [24] bjp,government [16] #health,#healthcare [16] #healthcare,#health [15] find,more [15] healthcare,workers [14] healthcare,people [14] healthcare,professionals [14] covid,19 Top Word Pairs in Tweet in G2:
[239] nhs,staff [190] right,wing [188] minority,right [188] wing,selfish [188] keep,trying [188] getting,utterly [188] tiny,minority [188] selfish,nutjobs [188] utterly,sickening [188] sickening,tiny Top Word Pairs in Tweet in G3:
[590] without,access [579] years,without [562] desperate,years [536] access,proper [515] healthcare,nutrition [499] proper,healthcare [490] tigray,desperate [490] people,tigray [416] basic,services [414] commission,ichree Top Word Pairs in Tweet in G4:
[238] บคนไข,โดยเฉพาะใน [238] แต,เราเห [238] คนสงสารหมอ,แต [238] ปฏ,ส [238] นธ,แบบน [238] แบบน,นก [238] นตรงข,าม [238] าม,healthcare [238] ส,มพ [238] ถ,าหมอไม Top Word Pairs in Tweet in G5:
[36] universal,healthcare [34] far,left [33] far,right [32] right,exterminate [32] left,universal [32] exterminate,jews [32] healthcare,far [30] jews,don [30] equate,two [30] don,equate Top Word Pairs in Tweet in G6:
[54] ontario,largest [54] red,cross [50] cross,help [50] one,angry [50] call,red [50] one,ontario [50] hospitals,call [50] angry,one [50] largest,children [50] children,hospitals Top Word Pairs in Tweet in G7:
[93] employment,status [93] fact,employment [93] loved,ones [93] determines,level [93] status,determines [93] level,healthcare [93] healthcare,loved [92] ones,industrialize [92] davenewworld_2,fact [28] davenewworld_2,healthcare Top Word Pairs in Tweet in G8:
[100] voted,against [99] baby,formula [99] infrastructure,gay [99] formula,affordable [99] protecting,planet [99] insulin,protecting [99] planet,providing [99] affordable,insulin [99] against,infrastructure [99] marriage,baby Top Word Pairs in Tweet in G9:
[14] mail,headline [14] lockdown,mail [14] passage,referring [14] sgriffin_lab,passage [14] referring,talking [14] headline,claims [14] talking,lockdown [13] let's,take [13] politicians,access [13] treatments,care Top Word Pairs in Tweet in G10:
[80] kes,kat [80] macam,kes [80] sampai,ke [80] kat,gomen [80] nampak,macam [80] healthcare,workers [80] issue,healthcare [80] lah,solve [80] gomen,impak [80] cepat,lah Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: