The graph represents a network of 9,735 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, 13 December 2021 at 06:07 UTC.
The requested start date was Monday, 13 December 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, 44-minute period from Friday, 10 December 2021 at 10:25 UTC to Sunday, 12 December 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 : 9735
Unique Edges : 5785
Edges With Duplicates : 11945
Total Edges : 17730
Number of Edge Types : 5
Retweet : 5326
MentionsInRetweet : 6615
Replies to : 876
Mentions : 3063
Tweet : 1850
Self-Loops : 1909
Reciprocated Vertex Pair Ratio : 0.00916675249768256
Reciprocated Edge Ratio : 0.0181669728516024
Connected Components : 2024
Single-Vertex Connected Components : 672
Maximum Vertices in a Connected Component : 2490
Maximum Edges in a Connected Component : 6354
Maximum Geodesic Distance (Diameter) : 35
Average Geodesic Distance : 12.868727
Graph Density : 0.000103397523588154
Modularity : 0.581617
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 9,735 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, 13 December 2021 at 06:07 UTC.
The requested start date was Monday, 13 December 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, 44-minute period from Friday, 10 December 2021 at 10:25 UTC to Sunday, 12 December 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:
[690] dec,16 [689] 16,18 [688] medi,token [688] token,erc [688] erc,20 [688] 20,token [688] token,launching [688] launching,dec [688] 18,charity [688] charity,token Top Word Pairs in Tweet in G1:
[688] medi,token [688] token,erc [688] erc,20 [688] 20,token [688] token,launching [688] launching,dec [688] dec,16 [688] 16,18 [688] 18,charity [688] charity,token Top Word Pairs in Tweet in G2:
[36] healthcare,system [34] pharma,sponsored [34] sponsored,covid [34] covid,mafia [34] mafia,invents [34] invents,more [34] more,flu [34] flu,covid [34] covid,variants [34] variants,fuel Top Word Pairs in Tweet in G3:
[297] blocking,humanitarian [297] humanitarian,aid [297] aid,majority [297] majority,#tigray [297] #tigray,ethiopian [297] ethiopian,federal [297] federal,government [297] government,weaponized [297] weaponized,hunger [180] hunger,healthcare Top Word Pairs in Tweet in G4:
[206] healthcare,workers [182] workers,energy [182] energy,another [182] another,wave [182] wave,pandemic [182] pandemic,please [182] please,retweet [182] retweet,keeping [181] karebear0517,healthcare [39] didn,dominate Top Word Pairs in Tweet in G5:
[157] scripps,memorial [117] former,nurse [117] nurse,scripps [117] memorial,hospital [117] hospital,showed [117] showed,columnist [117] columnist,davidlaz [117] davidlaz,screenshots [117] screenshots,facility [117] facility,electronic Top Word Pairs in Tweet in G6:
[24] healthcare,vaccination [24] vaccination,hit [24] hit,manufacturer [24] manufacturer,two [24] two,thirds [24] thirds,syringes [24] syringes,india [24] india,shuts [24] shuts,down [24] down,plants Top Word Pairs in Tweet in G7:
[31] raw,sewage [31] sewage,rivers [31] rivers,higher [31] higher,taxes [31] taxes,hungry [31] hungry,kids [31] kids,mps [31] mps,vote [31] vote,favour [31] favour,corruption Top Word Pairs in Tweet in G8:
[48] covid,19 [29] against,covid [25] china,vaccinates [25] vaccinates,over [25] over,80 [25] 80,people [25] people,against [24] reuters,china [20] pfizer,ceo [20] ceo,fourth Top Word Pairs in Tweet in G9:
[72] healthcare,plan [61] come,healthcare [61] plan,years [61] years,came [61] came,plan [61] plan,overthrow [61] overthrow,democracy [61] democracy,weeks [60] covie_93,come [60] weeks,priorit Top Word Pairs in Tweet in G10:
[59] nhs,based [59] based,upon [59] upon,profit [59] profit,principle [59] principle,universal [59] universal,healthcare [59] healthcare,privatized [59] privatized,stealth [58] premnsikka,nhs [30] happy,#socialistsunday Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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