The graph represents a network of 10,199 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 June 2021 at 05:05 UTC.
The requested start date was Monday, 21 June 2021 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, 29-minute period from Thursday, 17 June 2021 at 10:42 UTC to Sunday, 20 June 2021 at 11:11 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 : 10199
Unique Edges : 5532
Edges With Duplicates : 11768
Total Edges : 17300
Number of Edge Types : 5
Mentions : 2521
Replies to : 828
Retweet : 5428
MentionsInRetweet : 6551
Tweet : 1972
Self-Loops : 2015
Reciprocated Vertex Pair Ratio : 0.0126825109240115
Reciprocated Edge Ratio : 0.0250473584508525
Connected Components : 2186
Single-Vertex Connected Components : 721
Maximum Vertices in a Connected Component : 2190
Maximum Edges in a Connected Component : 4531
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 10.472574
Graph Density : 9.13571255798586E-05
Modularity : 0.584364
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 10,199 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 June 2021 at 05:05 UTC.
The requested start date was Monday, 21 June 2021 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, 29-minute period from Thursday, 17 June 2021 at 10:42 UTC to Sunday, 20 June 2021 at 11:11 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:
[766] healthcare,workers [335] end,nhs [332] nhs,reliance [322] honestly,pissed [322] pissed,time [322] time,country [322] country,acts [322] acts,confused [322] confused,women [322] women,having Top Word Pairs in Tweet in G1:
[48] covid,19 [41] healthcare,workers [32] 06,2021 [27] healthcare,professionals [22] healthcare,system [15] #health,#healthcare [15] loc,healthcare [15] healthcare,llp [15] llp,pmc [14] #healthcare,#health Top Word Pairs in Tweet in G2:
[318] honestly,pissed [318] pissed,time [318] time,country [318] country,acts [318] acts,confused [318] confused,women [318] women,having [318] having,babies [318] babies,less [318] less,less Top Word Pairs in Tweet in G3:
[60] narendramodi,ji [60] healthcare,workers [57] crash,course [41] ग,कर [41] frontline,workers [40] य,क [39] स,व [39] व,स [39] स,थ [39] थ,य Top Word Pairs in Tweet in G4:
[37] artificial,intelligence [18] #ai,#iot [12] mobility,device [12] device,helps [12] helps,paraplegics [12] paraplegics,stand [12] stand,upright [12] upright,mashable [12] mashable,#ai [12] #iot,#wearables Top Word Pairs in Tweet in G5:
[230] healthcare,workers [229] 000,healthcare [229] workers,philippines [229] philippines,first [229] bts,meal [227] over,000 [227] first,dibs [227] dibs,bts [227] meal,mcdonald's [227] mcdonald's,much Top Word Pairs in Tweet in G6:
[74] republican,party [43] million,americans [42] congratulations,34 [42] 34,million [42] americans,didn [42] didn,healthcare [42] healthcare,taken [42] taken,away [42] away,republican [41] adamparkhomenko,congratulations Top Word Pairs in Tweet in G7:
[320] end,nhs [320] nhs,reliance [163] dido,harding [159] harding,end [159] reliance,foreigners [159] foreigners,shortly [159] shortly,followed [159] followed,end [159] reliance,doctors [159] doctors,nurses Top Word Pairs in Tweet in G8:
[38] never,history [38] history,global [38] global,healthcare [38] healthcare,much [38] much,damage [38] damage,done [37] done,many [23] shared,decision [21] decision,making [17] angelasfreenews,flossyflange Top Word Pairs in Tweet in G9:
[160] young,cdm [160] cdm,nurse [160] nurse,became [160] became,idp [160] idp,kyah [160] kyah,state [160] state,trying [160] trying,provide [160] provide,healthcare [160] healthcare,idps Top Word Pairs in Tweet in G10:
[40] surgeon,hospital [40] hospital,dah [40] dah,orang [40] orang,dah [40] dah,angkat [40] angkat,kaki [40] kaki,keluar [40] keluar,sbb [40] sbb,covid [40] covid,dewan Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: