The graph represents a network of 9,899 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, 25 April 2022 at 05:12 UTC.
The requested start date was Monday, 25 April 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, 45-minute period from Thursday, 21 April 2022 at 10:23 UTC to Sunday, 24 April 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 : 9899
Unique Edges : 5799
Edges With Duplicates : 11446
Total Edges : 17245
Number of Edge Types : 5
Retweet : 5109
MentionsInRetweet : 6271
Replies to : 1015
Tweet : 2117
Mentions : 2733
Self-Loops : 2160
Reciprocated Vertex Pair Ratio : 0.0118958311006323
Reciprocated Edge Ratio : 0.0235119678034315
Connected Components : 2363
Single-Vertex Connected Components : 786
Maximum Vertices in a Connected Component : 1723
Maximum Edges in a Connected Component : 4257
Maximum Geodesic Distance (Diameter) : 42
Average Geodesic Distance : 15.413996
Graph Density : 9.63663084034993E-05
Modularity : 0.585633
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,899 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, 25 April 2022 at 05:12 UTC.
The requested start date was Monday, 25 April 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, 45-minute period from Thursday, 21 April 2022 at 10:23 UTC to Sunday, 24 April 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:
[489] food,healthcare [430] healthcare,supplies [430] supplies,people [430] being,collectively [430] collectively,punished [430] punished,those [430] those,wish [430] wish,put [429] people,tigray [429] tigray,being Top Word Pairs in Tweet in G1:
[30] link,#ehr [30] #ehr,#healthcare [30] #healthcare,#emr [30] #emr,#healthcareit [26] healthcare,system [25] healthcare,services [21] healthcare,workers [20] find,more [19] learn,more [19] read,more Top Word Pairs in Tweet in G2:
[424] food,healthcare [421] healthcare,supplies [421] supplies,people [421] people,tigray [421] tigray,being [421] being,collectively [421] collectively,punished [421] punished,those [421] those,wish [421] wish,put Top Word Pairs in Tweet in G3:
[109] elderly,dad [109] dad,covid [109] covid,within [109] within,48 [109] 48,hrs [109] hrs,zealand [109] zealand,healthcare [109] healthcare,system [109] system,provided [109] provided,person Top Word Pairs in Tweet in G4:
[48] lot,news [48] news,circulating [48] circulating,madison [48] madison,cawthorn [48] cawthorn,better [48] better,time [48] time,introduce [48] introduce,myself [48] myself,name [47] electkatiedean,lot Top Word Pairs in Tweet in G5:
[29] #blockchain,#healthcare [28] opportunities,#blockchain [25] #healthcare,bbntimes_en [25] bbntimes_en,#web3 [24] khulood_almani,opportunities [24] #web3,#technolog [24] #ai,boosting [24] boosting,#healthcare [24] #healthcare,#datascience [24] #datascience,#azure Top Word Pairs in Tweet in G6:
[45] happy,#socialistsunday [43] #socialistsunday,nurse [43] healthcare,regardless [43] regardless,income [41] nurse,strongly [41] strongly,believes [41] believes,healthcare [41] income,something [40] nhsactivistrn,happy [28] saw,someone Top Word Pairs in Tweet in G7:
[28] removing,masking [28] masking,protective [28] protective,measures [28] measures,schools [28] schools,causing [28] causing,infections [28] infections,age [28] age,group [28] group,major [28] major,source Top Word Pairs in Tweet in G8:
[139] doctors,healthcare [128] one,chris [128] chris,ngige [128] ngige,declared [128] declared,presidency [128] presidency,hope [128] hope,knows [128] knows,getting [128] getting,zero [128] zero,votes Top Word Pairs in Tweet in G9:
[199] quality,healthcare [184] free,cost [167] cost,quality [166] provide,free [155] healthcare,patients [147] patients,pakistan [142] help,provide [135] fitra,ihhn [132] ihhn,help [127] pakistan,earn Top Word Pairs in Tweet in G10:
[9] #healthcare,#digitalhealth [8] digital,health [8] covid,19 [8] #strategy,#competitiveintelligence [8] #competitiveintelligence,#marketing [7] virtual,care [7] #healthcare,#health [7] #health,#healthcareit [7] #healthcareit,#ehealth [7] #ehealth,#healthcare Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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: