The graph represents a network of 9,715 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, 21 March 2022 at 05:03 UTC.
The requested start date was Monday, 21 March 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 3-day, 0-hour, 35-minute period from Thursday, 17 March 2022 at 10:33 UTC to Sunday, 20 March 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 : 9715
Unique Edges : 5680
Edges With Duplicates : 11437
Total Edges : 17117
Number of Edge Types : 5
Retweet : 5174
MentionsInRetweet : 6400
Tweet : 2026
Mentions : 2702
Replies to : 815
Self-Loops : 2066
Reciprocated Vertex Pair Ratio : 0.0130528586839266
Reciprocated Edge Ratio : 0.0257693536364604
Connected Components : 2302
Single-Vertex Connected Components : 849
Maximum Vertices in a Connected Component : 2257
Maximum Edges in a Connected Component : 5757
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 10.258323
Graph Density : 9.95109646968667E-05
Modularity : 0.582617
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,715 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, 21 March 2022 at 05:03 UTC.
The requested start date was Monday, 21 March 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 3-day, 0-hour, 35-minute period from Thursday, 17 March 2022 at 10:33 UTC to Sunday, 20 March 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:
[746] hospitals,very [746] very,short [746] short,supplies [746] supplies,water [746] water,entire [746] entire,region [746] region,affected [746] affected,fuel [746] fuel,shortage [745] shortage,healthcare Top Word Pairs in Tweet in G1:
[30] healthcare,workers [27] covid,19 [24] healthcare,system [21] healthcare,professionals [17] healthcare,providers [14] healthcare,services [13] #health,#healthcare [13] learn,more [13] free,healthcare [12] find,more Top Word Pairs in Tweet in G2:
[746] hospitals,very [746] very,short [746] short,supplies [746] supplies,water [746] water,entire [746] entire,region [746] region,affected [746] affected,fuel [746] fuel,shortage [745] shortage,healthcare Top Word Pairs in Tweet in G3:
[223] greg,hunt [223] free,healthcare [223] healthcare,system [222] hunt,calls [222] calls,dismantling [222] dismantling,australia [222] australia,free [222] system,maiden [222] maiden,speech [221] melaniedoak,greg Top Word Pairs in Tweet in G4:
[185] reminder,johnson [185] johnson,plan [185] plan,manage [185] manage,current [185] current,surge [185] surge,covid [185] covid,cases [185] cases,further [185] further,ration [185] ration,healthcare Top Word Pairs in Tweet in G5:
[202] covid,money [201] screaming,covid [201] money,stimmys [201] stimmys,rent [201] rent,control [201] control,relief [201] relief,healthcare [201] healthcare,nothing [201] nothing,both [201] both,parties Top Word Pairs in Tweet in G6:
[29] link,#ehr [29] #ehr,#healthcare [29] #healthcare,#emr [29] #emr,#healthcareit [24] covid,19 [22] read,article [15] gain,more [15] more,insight [15] insight,link [15] learn,more Top Word Pairs in Tweet in G7:
[147] health,insurance [146] 2021,top [146] top,health [146] insurance,companies [146] companies,spent [146] spent,28m [146] 28m,lobbying [146] lobbying,received [146] received,35b [146] 35b,back Top Word Pairs in Tweet in G8:
[69] healthcare,housing [68] first,capital [68] capital,seeks [68] seeks,privatize [68] privatize,enclose [68] enclose,key [68] key,goods [68] goods,need [68] need,order [68] order,live Top Word Pairs in Tweet in G9:
[91] pro,tip [91] tip,another [91] another,surge [91] surge,coming [91] coming,few [91] few,weeks [91] weeks,stay [91] stay,vigilant [91] vigilant,omicron [91] omicron,double Top Word Pairs in Tweet in G10:
[49] healthcare,science [19] science,week [12] healthcare,scientists [9] really,something [9] something,everyone [8] nearing,end [8] end,#healthcarescienceweek2022 [8] #healthcarescienceweek2022,healthcare [8] scientists,nuthpathology [8] nuthpathology,beyond Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: