The graph represents a network of 10,189 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, 09 May 2022 at 05:09 UTC.
The requested start date was Monday, 09 May 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, 22-minute period from Thursday, 05 May 2022 at 10:46 UTC to Sunday, 08 May 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 : 10189
Unique Edges : 5547
Edges With Duplicates : 11383
Total Edges : 16930
Number of Edge Types : 5
Retweet : 5279
MentionsInRetweet : 6257
Tweet : 1902
Mentions : 2403
Replies to : 1089
Self-Loops : 1943
Reciprocated Vertex Pair Ratio : 0.00766936514699617
Reciprocated Edge Ratio : 0.0152219873150106
Connected Components : 2284
Single-Vertex Connected Components : 684
Maximum Vertices in a Connected Component : 1305
Maximum Edges in a Connected Component : 3048
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 9.732021
Graph Density : 9.1131944682871E-05
Modularity : 0.595749
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 10,189 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, 09 May 2022 at 05:09 UTC.
The requested start date was Monday, 09 May 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, 22-minute period from Thursday, 05 May 2022 at 10:46 UTC to Sunday, 08 May 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:
[555] healthcare,system [466] last,year [458] forgotten,last [458] year,blatant [458] blatant,breach [458] breach,ministerial [458] ministerial,code [458] code,priti [458] priti,patel [458] patel,lobbied Top Word Pairs in Tweet in G1:
[30] healthcare,systems [28] healthcare,system [28] contracts,services [28] services,usa [28] agencies,healthcare [28] loi,06 [28] 06,01 [28] 01,2022 [26] healthcare,education [22] access,healthcare Top Word Pairs in Tweet in G2:
[454] forgotten,last [454] last,year [454] year,blatant [454] blatant,breach [454] breach,ministerial [454] ministerial,code [454] code,priti [454] priti,patel [454] patel,lobbied [454] lobbied,gove Top Word Pairs in Tweet in G3:
[335] fight,bullies [111] bullies,schools [111] schools,universities [111] universities,fight [111] bullies,police [111] police,force [111] force,army [111] army,fight [111] bullies,finance [111] finance,fight Top Word Pairs in Tweet in G4:
[367] healthcare,system [338] due,deliberate [338] deliberate,destruction [338] destruction,healthcare [338] invading,forces [338] forces,humanitarian [338] humanitarian,blockade [335] system,tigray [335] tigray,invading [208] blockade,rape Top Word Pairs in Tweet in G5:
[115] women,reported [115] reported,changes [115] changes,menstrual [115] menstrual,cycles [115] cycles,taking [115] taking,covid [115] covid,shot [115] shot,gaslit [115] gaslit,ignored [114] galexybrane,women Top Word Pairs in Tweet in G6:
[30] bloodwork,done [30] done,tech [30] tech,advised [30] advised,labs [30] labs,being [30] being,privatized [30] privatized,watch [30] watch,useage [30] useage,fee [30] fee,come Top Word Pairs in Tweet in G7:
[82] north,carolina [74] name,katie [74] katie,dean [74] dean,proud [74] proud,resident [74] resident,north [74] carolina,democrat [74] democrat,running [74] running,defeat [74] defeat,madison Top Word Pairs in Tweet in G8:
[52] think,cis [52] cis,people [52] people,whining [52] whining,being [52] being,afraid [52] afraid,talking [52] talking,trans [52] trans,issues [52] issues,pathetic [52] pathetic,thing Top Word Pairs in Tweet in G9:
[8] top,cybersecurity [8] cybersecurity,threats [8] threats,healthcare [8] healthcare,2022 [8] #cybersecurity,#digital [7] #ml,#machinelearning [6] gt,gt [6] healthcare,technology [6] 2022,#digitalhealth [6] #digitalhealth,#cybersecurity Top Word Pairs in Tweet in G10:
[35] obvious,point [35] point,healthcare [35] healthcare,worker [35] worker,contract [35] contract,allowed [35] allowed,kind [35] kind,gag [35] gag,clause [35] clause,free [34] youarelobbylud,obvious Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G6:
Top Replied-To in G7:
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:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: