The graph represents a network of 10,848 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, 08 November 2021 at 05:06 UTC.
The requested start date was Monday, 08 November 2021 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 2-day, 0-hour, 42-minute period from Friday, 05 November 2021 at 10:27 UTC to Sunday, 07 November 2021 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 : 10848
Unique Edges : 6917
Edges With Duplicates : 11197
Total Edges : 18114
Number of Edge Types : 5
Retweet : 4994
MentionsInRetweet : 6371
Mentions : 3511
Replies to : 1259
Tweet : 1979
Self-Loops : 2043
Reciprocated Vertex Pair Ratio : 0.00852408773106024
Reciprocated Edge Ratio : 0.0169040835707502
Connected Components : 2241
Single-Vertex Connected Components : 692
Maximum Vertices in a Connected Component : 3703
Maximum Edges in a Connected Component : 7674
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 10.977311
Graph Density : 8.94888762522324E-05
Modularity : 0.611281
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,848 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, 08 November 2021 at 05:06 UTC.
The requested start date was Monday, 08 November 2021 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 2-day, 0-hour, 42-minute period from Friday, 05 November 2021 at 10:27 UTC to Sunday, 07 November 2021 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:
[691] healthcare,workers [360] covid,19 [333] healthcare,system [258] #aimx,#aimxtoken [257] #aimedis,#aimx [256] #token,#blockchain [253] #aimxtoken,#token [232] public,health [220] corporate,capture [217] #ehealth,#healthcare Top Word Pairs in Tweet in G1:
[243] #aimx,#aimxtoken [242] #aimedis,#aimx [242] #token,#blockchain [238] #aimxtoken,#token [193] #ehealth,#healthcare [191] #healthcare,#ido [181] #ido,#ieo [176] #ieo,#metaverse [170] #blockchain,#aimedisnft [170] #aimedisnft,#nft Top Word Pairs in Tweet in G2:
[47] covid,19 [24] healthcare,system [23] healthcare,workers [19] healthcare,professionals [18] healthcare,conference [16] #health,#healthcare [12] healthcare,services [10] learn,more [10] antiviral,pill [9] hims,health Top Word Pairs in Tweet in G3:
[194] sajid,javid [177] healthcare,workers [173] latest,edition [173] edition,levelling [173] levelling,sajid [173] javid,going [173] going,slash [173] slash,take [173] take,home [173] home,pay Top Word Pairs in Tweet in G4:
[214] corporate,capture [207] capture,public [207] public,health [207] health,collusion [207] collusion,senior [207] senior,scientists [207] scientists,politicians [207] politicians,industry [207] industry,financial [206] draseemmalhotra,corporate Top Word Pairs in Tweet in G5:
[44] artificial,intelligence [26] #ai,#healthcare [24] covid,19 [13] healthy,medical [13] medical,healthcare [13] healthcare,google [13] google,slides [13] slides,pitch [13] pitch,deck [13] deck,#digitalmarketing Top Word Pairs in Tweet in G6:
[81] healthcare,worker [78] retweet,healthcare [78] worker,vaccinated [78] vaccinated,taking [78] taking,care [78] care,sick [78] sick,family [78] family,member [78] member,hospital [77] grittynurse,retweet Top Word Pairs in Tweet in G7:
[78] health,secretary [75] hi,mr [75] mr,javid [75] javid,wanted [75] wanted,check [75] check,briefly [75] briefly,today [75] today,health [75] secretary,currently [75] currently,overseeing Top Word Pairs in Tweet in G8:
[52] let's,go [52] go,balls [52] balls,start [52] start,teaching [52] teaching,wanna [52] wanna,open [52] open,pandora's [52] pandora's,box [52] box,fuck [52] fuck,let's Top Word Pairs in Tweet in G9:
[67] nurse,tweeting [61] happy,#socialistsunday [61] #socialistsunday,nurse [61] tweeting,healthcare [61] healthcare,system [61] system,ground [61] ground,perspective [60] nhsactivistrn,happy [60] perspective,belon [44] support,free Top Word Pairs in Tweet in G10:
[81] covid,19 [43] 19,antiviral [38] uk,roll [38] roll,covid [38] antiviral,drug [38] drug,trial [38] trial,month [38] month,health [38] health,security [38] security,agency Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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