The graph represents a network of 9,965 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, 12 December 2022 at 06:24 UTC.
The requested start date was Monday, 12 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 2-day, 0-hour, 46-minute period from Wednesday, 07 December 2022 at 10:22 UTC to Friday, 09 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 : 9965
Unique Edges : 6048
Edges With Duplicates : 11209
Total Edges : 17257
Number of Edge Types : 5
Retweet : 4858
MentionsInRetweet : 6245
Tweet : 2232
Replies to : 977
Mentions : 2945
Self-Loops : 2310
Reciprocated Vertex Pair Ratio : 0.0116689861899154
Reciprocated Edge Ratio : 0.0230687830687831
Connected Components : 2374
Single-Vertex Connected Components : 953
Maximum Vertices in a Connected Component : 2997
Maximum Edges in a Connected Component : 6972
Maximum Geodesic Distance (Diameter) : 42
Average Geodesic Distance : 14.79472
Graph Density : 9.51745400350444E-05
Modularity : 0.585149
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 9,965 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, 12 December 2022 at 06:24 UTC.
The requested start date was Monday, 12 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 2-day, 0-hour, 46-minute period from Wednesday, 07 December 2022 at 10:22 UTC to Friday, 09 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:
[782] ø,ø [568] ù,ø [428] ø,ù [410] ãƒ,ム[381] healthcare,system [286] healthcare,crisis [240] private,healthcare [235] crisis,saying [235] œpatients,risk [235] downplaying,healthcare Top Word Pairs in Tweet in G1:
[624] ø,ø [465] ù,ø [299] ø,ù [159] _ø,ù [138] ù,ù [120] ãƒ,ム[86] ø,_ø [78] øªù,ø [56] #ø,ù [49] ø,øªù Top Word Pairs in Tweet in G2:
[233] healthcare,crisis [213] saying,œpatients [213] harmâ,honest [213] stop,downplaying [213] risk,severe [213] downplaying,healthcare [213] œpatients,risk [213] severe,harmâ [213] crisis,saying [212] danielgoyal,stop Top Word Pairs in Tweet in G3:
[163] bus,way [163] access,good [163] good,healthcare [163] #sarawak,everyone [163] baby,dies [163] clear,access [163] healthcare,malaysia [163] dies,bus [163] everyone,clear [163] malaysia,baby Top Word Pairs in Tweet in G4:
[41] forbes,healthcare [41] healthcare,summit [29] summit,#forbeshealth [14] chief,executive [12] executive,officer [10] president,ceo [10] #healthcare,#digitalhealth [9] talk,catch [9] interview,tech [9] catch,interview Top Word Pairs in Tweet in G5:
[178] healthcare,tied [178] use,strikebreaking [178] companies,healthcare [178] employment,use [178] tied,employment [177] fringetracker,companies [6] premiums,healthcare [6] stop,paying [6] decision,stop [6] made,difficult Top Word Pairs in Tweet in G6:
[180] claiming,encouraged [180] committee,justified [180] internally,claiming [180] encouraged,online [180] online,harassment [180] harassment,œhospitals [180] 20,committee [180] justified,suspensions [180] suspensions,internally [179] bariweiss,20 Top Word Pairs in Tweet in G7:
[39] education,healthcare [36] deliberate,shutdowns [36] healthcare,businesses [36] peopleâ,ability [36] ability,access [36] interfere,peopleâ [36] shutdowns,interfere [36] access,education [35] healthcare,system [33] businesses,services Top Word Pairs in Tweet in G8:
[23] throwing,everything [21] asked,overcrowding [21] premier,ford [21] healthcare,systemâ [21] everything,healthcare [21] œweâ,re [21] ford,asked [21] re,throwing [21] systemâ,œ [21] overcrowding,hospitals Top Word Pairs in Tweet in G9:
[12] drone,delivery [10] delivery,hub [8] many,people [8] representatives,make [8] results,change [8] make,basic [8] election,results [8] kakape,scbriand [8] celebrating,mcd [8] basic,difference Top Word Pairs in Tweet in G10:
[30] wesstreeting,ippr [20] free,healthcare [20] fuel,forcing [20] electricity,free [20] providing,free [20] free,education [20] banks,offer [20] education,free [20] free,fuel [20] free,electricity 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:
Top Tweeters in G1:
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Top Tweeters in G10: