The graph represents a network of 10,044 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, 06 September 2021 at 05:04 UTC.
The requested start date was Monday, 06 September 2021 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, 21-minute period from Thursday, 02 September 2021 at 10:47 UTC to Sunday, 05 September 2021 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 : 10044
Unique Edges : 5372
Edges With Duplicates : 11611
Total Edges : 16983
Number of Edge Types : 5
Retweet : 5411
MentionsInRetweet : 6491
Tweet : 2037
Replies to : 985
Mentions : 2059
Self-Loops : 2078
Reciprocated Vertex Pair Ratio : 0.00819762933421956
Reciprocated Edge Ratio : 0.0162619492363477
Connected Components : 2293
Single-Vertex Connected Components : 741
Maximum Vertices in a Connected Component : 2617
Maximum Edges in a Connected Component : 6027
Maximum Geodesic Distance (Diameter) : 37
Average Geodesic Distance : 13.819769
Graph Density : 9.02233498306942E-05
Modularity : 0.576088
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 10,044 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, 06 September 2021 at 05:04 UTC.
The requested start date was Monday, 06 September 2021 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, 21-minute period from Thursday, 02 September 2021 at 10:47 UTC to Sunday, 05 September 2021 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:
[874] healthcare,workers [320] healthcare,system [302] covid,19 [294] abortion,always [266] iud,don [266] don,period [266] period,month [266] month,pregnant [266] pregnant,take [266] take,weeks Top Word Pairs in Tweet in G1:
[100] healthcare,workers [45] healthcare,conference [39] covid,19 [34] global,healthcare [34] healthcare,industry [33] morgan,stanley [32] 19th,annual [27] healthcare,system [25] healthcare,professionals [24] read,more Top Word Pairs in Tweet in G2:
[261] iud,don [261] don,period [261] period,month [261] month,pregnant [261] pregnant,take [261] take,weeks [261] weeks,find [260] astraeagoods,iud [31] free,abortion [31] abortion,public Top Word Pairs in Tweet in G3:
[256] quick,abortion [256] abortion,always [256] always,tough [256] tough,choice [256] choice,heartbreaking [256] heartbreaking,framing [256] framing,weird [256] weird,sometimes [255] bessbell,quick [255] sometimes,miracl Top Word Pairs in Tweet in G4:
[123] healthcare,workers [93] listen,dr [93] dr,grace [93] grace,thompson [93] thompson,gp [93] gp,bristol [93] bristol,delivered [93] delivered,urgent [93] urgent,public [93] public,health Top Word Pairs in Tweet in G5:
[135] women's,healthcare [134] straight,wearing [134] wearing,mask [134] mask,personal [134] personal,choice [134] choice,women's [134] healthcare,controlled [133] rbreich,straight [133] controlled,governmen [22] anyone,harris Top Word Pairs in Tweet in G6:
[129] #socialmedia,#100daysofcode [123] #100daysofcode,#bigdata [123] #bigdata,#womenwhocode [119] #womenwhocode,#python [119] #python,#flutter [27] bundle,news [27] news,#newzealand [27] #newzealand,#socialmedia [26] chidambara09,bundle [26] #artificialintelligence,#ai Top Word Pairs in Tweet in G7:
[85] years,ago [85] ago,before [85] before,roe [85] roe,747 [85] 747,regular [85] regular,flights [85] flights,asia [85] asia,women [85] women,means [85] means,safe Top Word Pairs in Tweet in G8:
[46] interacted,hon [46] hon,sajid [46] sajid,javid [46] javid,uk [46] uk,secretary [46] secretary,state [46] state,health [46] health,social [46] social,care [46] care,highlighted Top Word Pairs in Tweet in G9:
[49] psaki,shuts [49] shuts,down [49] down,male [49] male,reporter's [49] reporter's,abortion [49] abortion,questions [49] questions,never [49] never,faced [49] faced,those [49] those,choices Top Word Pairs in Tweet in G10:
[29] answer,whether [26] watching,otoole [26] otoole,refuse [26] refuse,answer [26] whether,supports [26] supports,privatization [26] privatization,healthcare [26] healthcare,telling [26] telling,repeatedly [25] karinagould,watching Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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: