The graph represents a network of 9,229 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, 26 December 2022 at 06:11 UTC.
The requested start date was Monday, 26 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, 43-minute period from Thursday, 22 December 2022 at 10:25 UTC to Sunday, 25 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 : 9229
Unique Edges : 5635
Edges With Duplicates : 12444
Total Edges : 18079
Number of Edge Types : 5
Retweet : 5055
MentionsInRetweet : 7417
Mentions : 2461
Tweet : 2162
Replies to : 984
Self-Loops : 2230
Reciprocated Vertex Pair Ratio : 0.00814888228168704
Reciprocated Edge Ratio : 0.0161660294920808
Connected Components : 2376
Single-Vertex Connected Components : 1019
Maximum Vertices in a Connected Component : 2338
Maximum Edges in a Connected Component : 7621
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 8.429518
Graph Density : 0.000107496943705136
Modularity : 0.543625
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 9,229 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, 26 December 2022 at 06:11 UTC.
The requested start date was Monday, 26 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, 43-minute period from Thursday, 22 December 2022 at 10:25 UTC to Sunday, 25 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:
[722] medical,supplies [721] women,girls [719] provide,medical [718] icrc,provide [718] 120k,tigrayan [718] usaidgh,icrc [718] girls,brutally [718] brutally,raped [718] therefore,need [718] tigrayan,women Top Word Pairs in Tweet in G1:
[108] merry,christmas [45] healthcare,market [44] tech,group [43] group,seeks [43] bid,foothold [43] corporate,employees [43] seeks,more [43] access,corporate [43] more,access [43] 4tn,healthcare Top Word Pairs in Tweet in G2:
[239] light,decade [239] staff,really [239] refusal,negotiate [239] really,shone [239] govt,refusal [239] negotiate,nhs [239] shone,light [239] nhs,staff [238] danielgoyal,govt [80] advancements,fine Top Word Pairs in Tweet in G3:
[718] brutally,raped [718] usaidgh,icrc [718] need,usaidgh [718] medical,supplies [718] therefore,need [718] raped,therefore [718] women,girls [718] provide,medical [718] 120k,tigrayan [718] icrc,provide Top Word Pairs in Tweet in G4:
[176] reminder,10 [176] here's,xmas [176] 10,years [176] planet,ranked [176] ago,nhs [176] years,ago [176] xmas,reminder [176] healthcare,system [176] system,planet [176] nhs,best Top Word Pairs in Tweet in G5:
[171] anti,abortion [171] humiliate,two [171] setting,humiliate [171] abortion,extremists [171] healthcare,setting [171] outside,healthcare [171] two,anti [171] extremists,yeah [171] stood,outside [171] mean,stood Top Word Pairs in Tweet in G6:
[31] sansthan,video [31] video,conferencing [31] amrut,mahotav [31] today,address [31] mahotav,shree [31] address,amrut [31] rajkot,sansthan [31] gurukul,rajkot [31] shree,swaminarayan [31] 11,today Top Word Pairs in Tweet in G7:
[24] facing,lack [24] whatever,crisis [24] crisis,nhs [24] nhs,facing [24] cash,millions [24] lack,cash [24] millions,waste [24] luxury,non [24] non,jobs [24] waste,luxury Top Word Pairs in Tweet in G8:
[37] deterioration,public [37] data,avoidable [37] avoidable,deaths [37] nhs,pressures [37] public,health [37] pressures,wider [37] those,mounting [37] wider,deterioration [37] health,show [37] show,data Top Word Pairs in Tweet in G9:
[13] guinness,book [13] size,grain [13] sand,omnivision [13] world's,smallest [13] smallest,#camera [13] omnivision,ov6948 [13] grain,sand [13] book,records [13] #camera,size [13] makes,guinness Top Word Pairs in Tweet in G10:
[65] contemptuous,gross [65] uncaring,contemptuous [65] callous,cruel [65] deceitful,uncaring [65] dishonest,callous [65] cruel,disingenuous [65] disingenuous,deceitful [60] ',fuming [60] fuming,james [60] gross,' Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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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:
Top Tweeters in G1:
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Top Tweeters in G10: