The graph represents a network of 10,059 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, 15 August 2022 at 05:09 UTC.
The requested start date was Monday, 15 August 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, 34-minute period from Thursday, 11 August 2022 at 10:35 UTC to Sunday, 14 August 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 : 10059
Unique Edges : 5856
Edges With Duplicates : 11596
Total Edges : 17452
Number of Edge Types : 5
Retweet : 5270
MentionsInRetweet : 6588
Tweet : 1952
Mentions : 2512
Replies to : 1130
Self-Loops : 2001
Reciprocated Vertex Pair Ratio : 0.0102686443315009
Reciprocated Edge Ratio : 0.0203285420944559
Connected Components : 2181
Single-Vertex Connected Components : 709
Maximum Vertices in a Connected Component : 2304
Maximum Edges in a Connected Component : 5389
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 8.656945
Graph Density : 9.6270342620219E-05
Modularity : 0.587377
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 10,059 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, 15 August 2022 at 05:09 UTC.
The requested start date was Monday, 15 August 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, 34-minute period from Thursday, 11 August 2022 at 10:35 UTC to Sunday, 14 August 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:
[459] healthcare,system [277] healthcare,workers [255] public,healthcare [200] part,reason [200] under,control [199] reason,disabled [199] disabled,folks [199] folks,seem [199] seem,desperate [199] desperate,re Top Word Pairs in Tweet in G1:
[123] healthcare,system [117] public,healthcare [82] privatizing,healthcare [76] covid,agencies [49] private,healthcare [48] cheridinovo,fact [47] privatize,healthcare [39] re,elected [38] pre,covid [38] agencies,charged Top Word Pairs in Tweet in G2:
[21] healthcare,system [18] nominations,closing [17] healthcare,services [16] #health,#healthcare [15] closing,healthcare [15] healthcare,influencers [15] influencers,nominations [13] taking,care [13] care,yourself [13] find,more Top Word Pairs in Tweet in G3:
[199] part,reason [199] reason,disabled [199] disabled,folks [199] folks,seem [199] seem,desperate [199] desperate,re [199] re,begging [199] begging,folks [199] folks,pandemic [199] pandemic,under Top Word Pairs in Tweet in G4:
[77] healthcare,plan [75] found,trump [75] trump,top [75] top,secret [75] secret,stolen [75] stolen,nuclear [75] nuclear,documents [75] documents,before [75] before,saw [75] saw,healthcare Top Word Pairs in Tweet in G5:
[4] voted,against [2] gop,sorry [2] sorry,won [2] won,vote [2] vote,party [2] party,waves [2] waves,confederate [2] confederate,nazi [2] nazi,flags [2] flags,won Top Word Pairs in Tweet in G6:
[53] free,education [48] free,healthcare [25] mohalla,clinics [25] healthcare,free [24] developed,countries [24] provide,free [24] invest,people [22] aam,aadmi [22] aadmi,mohalla [22] clinics,punjab Top Word Pairs in Tweet in G7:
[20] human,right [20] socialists,need [20] need,healthcare [20] healthcare,housing [20] housing,country [20] country,liberals [20] liberals,need [20] need,fbi [20] fbi,dig [20] dig,trump Top Word Pairs in Tweet in G8:
[103] pay,taxes [103] taxes,men [103] men,live [103] live,hotel [103] hotel,rooms [103] rooms,meals [103] meals,day [103] day,175 [103] 175,month [103] month,spending Top Word Pairs in Tweet in G9:
[32] healthcare,system [30] rape,survivors [28] tigray,blockade [28] blockade,harms [28] harms,rape [28] allies,decimated [28] decimated,healthcare [28] system,#tigray [27] human,rights [26] #ethiopia,consistently Top Word Pairs in Tweet in G10:
[72] marco,rubio [72] rubio,done [72] done,gun [72] gun,safety [72] safety,state [72] state,done [72] done,protecting [72] protecting,women [72] women,rights [72] rights,marriage 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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Top Tweeters in G10: