The graph represents a network of 7,058 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 May 2020 at 06:18 UTC.
The requested start date was Monday, 25 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 0-hour, 33-minute period from Friday, 22 May 2020 at 11:10 UTC to Sunday, 24 May 2020 at 11:43 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 : 7058
Unique Edges : 4661
Edges With Duplicates : 7766
Total Edges : 12427
Number of Edge Types : 5
Retweet : 3680
MentionsInRetweet : 5015
Replies to : 663
Mentions : 1835
Tweet : 1234
Self-Loops : 1268
Reciprocated Vertex Pair Ratio : 0.0106589147286822
Reciprocated Edge Ratio : 0.0210930009587728
Connected Components : 1548
Single-Vertex Connected Components : 459
Maximum Vertices in a Connected Component : 640
Maximum Edges in a Connected Component : 1932
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.125923
Graph Density : 0.000146581977712713
Modularity : 0.61593
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 7,058 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 May 2020 at 06:18 UTC.
The requested start date was Monday, 25 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 0-hour, 33-minute period from Friday, 22 May 2020 at 11:10 UTC to Sunday, 24 May 2020 at 11:43 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 G2:
[57] congratulations,drharshvardhan [26] drharshvardhan,ji [14] ji,taking [10] taking,charge [10] charge,executive [10] executive,board [10] board,chairman [10] chairman,plays [10] plays,vital [10] vital,role Top Word Pairs in Tweet in G3:
[278] nominated,jisung [278] campaign,nominated [278] jisung,stray [278] stray,kids [278] joined,campaign [278] hello,stay [278] kids,thank [278] stay,ina [278] ina,joined [278] stay,joined Top Word Pairs in Tweet in G4:
[469] raise,hand [454] hand,think [452] cdc,acknowledges [452] acknowledges,mixing [376] mixing,coronavirus [285] biggest,story [221] story,today [209] today,friday [209] friday,something [164] something,really Top Word Pairs in Tweet in G5:
[100] healthcare,workers [100] frontline,healthcare [91] two,men [91] men,cry [91] cry,hurt [90] hurt,feelings [90] god,bless [90] bless,healthcare [90] covid,19 [90] realdonaldtrump,taking Top Word Pairs in Tweet in G6:
[33] strong,testimony [9] testimony,excellent [8] excellent,team [8] team,work [8] work,steely [8] steely,resolve [7] resolve,best [7] best,crisis [7] crisis,#covid19 [7] himantabiswa,strong Top Word Pairs in Tweet in G7:
[134] rare,occasions [134] occasions,hill [134] hill,gets [134] gets,right [134] right,wont [134] wont,dems [134] dems,badly [134] badly,overplayed [134] overplayed,#plandemic [133] #plandemic,hand Top Word Pairs in Tweet in G8:
[31] healthcare,workers [31] 40,000 [31] 000,healthcare [31] given,proactively [31] workers,uk [31] proactively,more [31] more,40 [31] hcq,given [31] uk,color [31] color,pill Top Word Pairs in Tweet in G9:
[76] #medicareforall,millions [52] millions,americans [52] americans,losing [48] americans,dying [48] support,#medicareforall [47] human,right [47] dying,lack [43] lack,healthcare [40] healthcare,policy [40] policy,choice Top Word Pairs in Tweet in G10:
[16] healthcare,workers [16] filipina,healthcare [16] deaths,filipina [13] philippines,itself [10] united,states [10] states,more [9] more,double [9] double,covid [9] covid,19 [9] 19,deaths 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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