The graph represents a network of 4,546 Twitter users whose recent tweets contained "hemophilia OR haemophilia OR bleedingdisorders OR hemochat ", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 19:06 UTC.
The tweets in the network were tweeted over the 1666-day, 5-hour, 46-minute period from Monday, 18 June 2018 at 18:47 UTC to Tuesday, 10 January 2023 at 00:33 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4546
Unique Edges : 3066
Edges With Duplicates : 8535
Total Edges : 11601
Number of Edge Types : 9
Retweet : 2663
MentionsInRetweet : 3510
Replies to : 937
MentionsInReplyTo : 1912
Tweet : 1590
Mentions : 827
Quote : 104
MentionsInQuote : 57
MentionsInQuoteReply : 1
Self-Loops : 1982
Reciprocated Vertex Pair Ratio : 0.033352176370831
Reciprocated Edge Ratio : 0.0645514223194748
Connected Components : 932
Single-Vertex Connected Components : 505
Maximum Vertices in a Connected Component : 1796
Maximum Edges in a Connected Component : 5769
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.296636
Graph Density : 0.000265420294779148
Modularity : 0.480679
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,546 Twitter users whose recent tweets contained "hemophilia OR haemophilia OR bleedingdisorders OR hemochat ", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 19:06 UTC.
The tweets in the network were tweeted over the 1666-day, 5-hour, 46-minute period from Monday, 18 June 2018 at 18:47 UTC to Tuesday, 10 January 2023 at 00:33 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : hemophilia OR haemophilia OR bleedingdisorders OR hemochat
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:
[819] gene,therapy [327] hemophilia,gene [229] christmas,disease [227] justin,fields [227] season,over [226] set,record [226] 11,record [226] over,review [226] record,set [226] review,11 Top Word Pairs in Tweet in G1:
[205] gene,therapy [105] hemophilia,gene [68] bleed,bleed [40] phase,study [37] infection,china [37] letter,victims [37] hemophilia,aids [37] victims,hemophilia [37] open,letter [37] hepatitis,infection Top Word Pairs in Tweet in G2:
[166] gene,therapy [43] learn,more [34] raising,issue [31] thank,raising [31] hemophiliahfi,thank [31] issue,hemophilia [30] m'm,drkanimozhisomu [30] highly,indebted [30] drkanimozhisomu,hemophiliahfi [30] hemophilia,highly Top Word Pairs in Tweet in G3:
[172] gene,therapy [66] hemophilia,gene [24] phase,study [23] announces,positive [23] results,phase [22] therapy,hemophilia [21] annualized,bleed [20] control,roctavian [20] stable,durable [20] bleed,control Top Word Pairs in Tweet in G4:
[202] justin,fields [202] season,over [201] set,record [201] 11,record [201] fields,sophomore [201] review,11 [201] over,review [201] sophomore,season [201] record,set [199] record,fewest Top Word Pairs in Tweet in G5:
[132] shots,bad [132] bundled,shots [132] bad,idea [131] prima__facie,bundled [19] one,occurs [19] things,help [19] episode,one [19] traveling,hemophilia [19] hemophilia,pack [19] manage,bleeding Top Word Pairs in Tweet in G6:
[135] ก,ม [134] ท,ง [134] kanompang69,case [134] ม,ให [134] ตย,ก [134] ต,ศาสตร [134] ง,hemophilia [134] โรปก,ม [134] hemophilia,และ [134] งย,โรปก Top Word Pairs in Tweet in G7:
[120] christmas,disease [117] disease,hemophilia [116] artibiotics,#bjhm [116] #bjhm,#meded [116] hemophilia,artibiotics [116] #meded,#foamed [115] brownhospmed,christmas [4] hemophilia,co [4] co,uipuzwckok [4] brownhospmed,hemophilia Top Word Pairs in Tweet in G8:
[116] ali,uçar [116] prison,lawyer [116] hemophilia,uçar [116] lawyer,mehmet [116] impaired,hemophilia [116] uçar,100 [116] mehmet,ali [116] type,prison [116] menemen,type [116] months,menemen Top Word Pairs in Tweet in G9:
[66] christmas,disease [43] hemophilia,christmas [31] aarongoodman33,hemophilia [23] sthanu5,aarongoodman33 [23] disease,hemophilia [19] drcindycooper,hemophilia [16] factor,ix [15] ix,deficiency [14] christmas,tree [14] cataract,myotonic Top Word Pairs in Tweet in G10:
[70] gene,therapy [59] tranexamic,acid [52] hemophilia,gene [49] #clinicalpearl,#meded [49] acid,txa [49] txa,bleeding [49] bleeding,#clinic [49] #meded,#medicine [49] #clinic,#clinicalpearl [49] use,tranexamic 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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: