The graph represents a network of 10,323 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, 16 May 2022 at 05:09 UTC.
The requested start date was Monday, 16 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, 26-minute period from Thursday, 12 May 2022 at 10:43 UTC to Sunday, 15 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 : 10323
Unique Edges : 6004
Edges With Duplicates : 11465
Total Edges : 17469
Number of Edge Types : 5
Retweet : 5128
MentionsInRetweet : 6301
Tweet : 2136
Replies to : 1020
Mentions : 2884
Self-Loops : 2201
Reciprocated Vertex Pair Ratio : 0.00891172153491298
Reciprocated Edge Ratio : 0.0176660085212512
Connected Components : 2364
Single-Vertex Connected Components : 802
Maximum Vertices in a Connected Component : 2517
Maximum Edges in a Connected Component : 5414
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 12.280833
Graph Density : 9.03110109252955E-05
Modularity : 0.589102
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 10,323 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, 16 May 2022 at 05:09 UTC.
The requested start date was Monday, 16 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, 26-minute period from Thursday, 12 May 2022 at 10:43 UTC to Sunday, 15 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:
[530] healthcare,system [247] #ヤマダtwitterハンディ吸入器プレゼントキャンペーン,花粉の季節 [247] 花粉の季節,のどのイガイガに [247] のどのイガイガに,微細ミストでたっぷり潤す [247] 微細ミストでたっぷり潤す,水道水で使えます [247] 水道水で使えます,オムロン [247] オムロン,ハンディ吸入器を抽選で1名様にプレゼント [236] 開催中,#ヤマダtwitterハンディ吸入器プレゼントキャンペーン [235] yamada_official,開催中 [200] universal,healthcare Top Word Pairs in Tweet in G1:
[37] support,worker [33] nurses,day [31] healthcare,system [30] hour,shaw [30] shaw,healthcare [30] healthcare,delighted [30] delighted,announce [28] international,nurses [24] healthcare,workers [21] link,#ehr Top Word Pairs in Tweet in G2:
[90] healthcare,system [83] deliberate,destruction [82] due,deliberate [82] destruction,healthcare [82] invading,forces [82] forces,humanitarian [82] humanitarian,blockade [80] system,tigray [80] tigray,invading [63] blockade,rape Top Word Pairs in Tweet in G3:
[56] risk,nurses [32] nursing,shortage [28] two,nurses [28] nurses,acute [28] acute,medical [28] medical,unit [28] unit,patient [28] patient,safety [28] safety,risk [28] nurses,license Top Word Pairs in Tweet in G4:
[247] #ヤマダtwitterハンディ吸入器プレゼントキャンペーン,花粉の季節 [247] 花粉の季節,のどのイガイガに [247] のどのイガイガに,微細ミストでたっぷり潤す [247] 微細ミストでたっぷり潤す,水道水で使えます [247] 水道水で使えます,オムロン [247] オムロン,ハンディ吸入器を抽選で1名様にプレゼント [236] 開催中,#ヤマダtwitterハンディ吸入器プレゼントキャンペーン [235] yamada_official,開催中 [10] yamada_official,#ヤマダtwitterハンディ吸入器プレゼントキャンペーン [2] ハンディ吸入器を抽選で1名様にプレゼント,応募方法 Top Word Pairs in Tweet in G5:
[158] living,under [149] two,groups [149] groups,living [149] under,control [149] control,single [149] single,government [149] government,access [149] access,such [149] such,different [149] different,standards Top Word Pairs in Tweet in G6:
[137] salute,nurses [137] nurses,backbone [137] backbone,healthcare [137] healthcare,system [137] system,hard [137] hard,work [137] work,dedication [137] dedication,keeps [137] keeps,indians [137] indians,healthy Top Word Pairs in Tweet in G7:
[22] 60,favor [21] universal,healthcare [15] healthcare,human [14] human,right [12] free,healthcare [12] public,safety [11] healthcare,system [11] #notmeus,#singlepayersunday [11] single,payer [11] 70,ppl Top Word Pairs in Tweet in G8:
[79] danielgoyal,government [70] government,provide [70] provide,food [70] food,security [70] security,access [70] access,healthcare [70] healthcare,affordable [70] affordable,housing [70] housing,job [70] job,opportunities Top Word Pairs in Tweet in G9:
[94] wall,street [93] law,school [93] school,offers [93] offers,work [93] work,wall [93] street,chose [93] chose,different [93] different,path [93] path,went [93] went,work Top Word Pairs in Tweet in G10:
[34] #ai,#healthcare [29] artificial,intelligence [25] #algorithms,#datascience [24] #cloud,#ai [24] read,more [23] #datascience,#python [23] #ai,#analytics [22] #machinelearning,#ai [21] #patients,feel [21] feel,#ai Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
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: