The graph represents a network of 10,266 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, 05 September 2022 at 05:11 UTC.
The requested start date was Monday, 05 September 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, 41-minute period from Thursday, 01 September 2022 at 10:27 UTC to Sunday, 04 September 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 : 10266
Unique Edges : 6767
Edges With Duplicates : 11546
Total Edges : 18313
Number of Edge Types : 5
Retweet : 5045
MentionsInRetweet : 6909
Replies to : 1131
Mentions : 3161
Tweet : 2067
Self-Loops : 2118
Reciprocated Vertex Pair Ratio : 0.00973046608932568
Reciprocated Edge Ratio : 0.0192733930808519
Connected Components : 2273
Single-Vertex Connected Components : 803
Maximum Vertices in a Connected Component : 1966
Maximum Edges in a Connected Component : 4033
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 10.575528
Graph Density : 9.84717379848964E-05
Modularity : 0.593347
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 10,266 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, 05 September 2022 at 05:11 UTC.
The requested start date was Monday, 05 September 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, 41-minute period from Thursday, 01 September 2022 at 10:27 UTC to Sunday, 04 September 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:
[860] massive,#nftgiveaway [860] #nftgiveaway,prize [860] prize,3x [860] 3x,superwalk_ [860] superwalk_,nft [860] nft,sneakers [860] sneakers,enter [860] enter,follow [860] follow,superwalk_ [813] superwalk_,tag Top Word Pairs in Tweet in G1:
[860] massive,#nftgiveaway [860] #nftgiveaway,prize [860] prize,3x [860] 3x,superwalk_ [860] superwalk_,nft [860] nft,sneakers [860] sneakers,enter [860] enter,follow [860] follow,superwalk_ [813] superwalk_,tag Top Word Pairs in Tweet in G2:
[59] healthcare,conference [34] wells,fargo [31] healthcare,system [29] 2022,healthcare [28] fargo,2022 [27] #health,#healthcare [27] global,healthcare [25] morgan,stanley [23] healthcare,services [21] healthcare,professionals Top Word Pairs in Tweet in G3:
[158] someone,explain [158] explain,pay [158] pay,tax [158] tax,nhs [158] nhs,gets [158] gets,budget [158] budget,spend [158] spend,12bn [158] 12bn,budget [158] budget,contracting Top Word Pairs in Tweet in G4:
[76] healthcare,facilities [39] tigray,due [39] due,blockade [39] blockade,famine [39] famine,healthcare [39] facilities,closed [39] closed,electricity [39] electricity,bank [39] bank,list [38] healthcare,system Top Word Pairs in Tweet in G5:
[11] healthcare,system [11] public,healthcare [8] government,taken [8] taken,direct [8] direct,responsibility [8] responsibility,hosting [8] hosting,medical [8] medical,product [8] product,remit [8] remit,usually Top Word Pairs in Tweet in G6:
[13] #datascience,#bigdata [12] #healthtech,#health [11] #applications,#ai [11] #ai,#healthcare [11] #health,#datascience [8] #research,#algorithms [8] #algorithms,#python [8] #python,#programming [8] #programming,#cloud [6] #innovation,#healthcare Top Word Pairs in Tweet in G7:
[44] easily,conclude [44] conclude,democrat [44] democrat,accuses [44] accuses,republican [44] republican,being [44] being,fascist [44] fascist,rest [44] rest,assured [44] assured,projecting [44] projecting,democrats Top Word Pairs in Tweet in G8:
[83] private,healthcare [82] qld,health [82] health,revoked [82] revoked,mandates [82] mandates,private [82] healthcare,catch [82] catch,covid [82] covid,public [82] public,hospitals [82] hospitals,reason Top Word Pairs in Tweet in G9:
[55] tories,cut [55] cut,22 [55] 22,000 [55] 000,beds [55] beds,nhs [55] nhs,reduces [55] reduces,amount [55] amount,bed [55] bed,spaces [55] spaces,nhs Top Word Pairs in Tweet in G10:
[17] sandybrowne7,thehill [12] cdc,director [12] director,rochelle [12] rochelle,walensky [12] walensky,signs [12] signs,omicron [12] omicron,booster [12] booster,green [12] green,lighting [12] lighting,fall Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G8:
Top Replied-To in G9:
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 G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G10: