The graph represents a network of 3,945 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 19:05 UTC.
The tweets in the network were tweeted over the 3525-day, 2-hour, 12-minute period from Thursday, 11 July 2013 at 22:43 UTC to Tuesday, 07 March 2023 at 00:56 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 : 3945
Unique Edges : 2386
Edges With Duplicates : 8839
Total Edges : 11225
Number of Edge Types : 9
Replies to : 646
MentionsInReplyTo : 1335
Retweet : 2927
MentionsInRetweet : 3816
Tweet : 1405
Mentions : 890
Quote : 94
MentionsInQuote : 108
MentionsInQuoteReply : 4
Self-Loops : 1776
Reciprocated Vertex Pair Ratio : 0.0299834574028122
Reciprocated Edge Ratio : 0.0582212407147159
Connected Components : 709
Single-Vertex Connected Components : 380
Maximum Vertices in a Connected Component : 1448
Maximum Edges in a Connected Component : 5782
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.987829
Graph Density : 0.000320134609501333
Modularity : 0.435833
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,945 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 19:05 UTC.
The tweets in the network were tweeted over the 3525-day, 2-hour, 12-minute period from Thursday, 11 July 2013 at 22:43 UTC to Tuesday, 07 March 2023 at 00:56 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:
[506] ப,த [506] த,க [506] இரத,தம [506] தம,உற [506] அர,ய [506] ய,வக [505] உற,ய [505] gene,therapy [504] வக,இரத [503] ந,ய Top Word Pairs in Tweet in G1:
[195] gene,therapy [85] bleeding,disorders [55] factor,viii [53] learn,more [44] therapy,#hemophilia [36] #hemophilia,#bleedingdisorders [35] first,gene [35] blood,products [32] bleeder,thanks [32] latest,daily Top Word Pairs in Tweet in G2:
[499] ப,த [499] த,க [499] தம,உற [499] இரத,தம [498] ய,வக [498] உற,ய [498] அர,ய [497] வக,இரத [496] பட,ட [495] கப,பட Top Word Pairs in Tweet in G3:
[88] gene,therapy [58] bleed,bleed [46] first,gene [41] therapy,hemophilia [38] bleeding,disorders [29] grief,amputation [29] amputation,hope [29] hope,incurable [28] therapy,adults [26] valoctocogene,roxaparvovec Top Word Pairs in Tweet in G4:
[156] sindh,dr [156] population,welfare [156] minister,health [156] welfare,sindh [156] health,population [125] dr,azrapechuh [125] meeting,representatives [125] azrapechuh,held [125] held,meeting [103] representatives,hemophi Top Word Pairs in Tweet in G5:
[67] gene,therapy [25] hemophilia,requires [25] etranacogene,dezaparvovec [25] factor,ix [24] therapy,etranacogene [24] research,summary [24] dezaparvovec,hemophilia [22] nejm,research [22] valoctocogene,roxaparvovec [22] two,year Top Word Pairs in Tweet in G6:
[127] siddha,yoga [121] siyag's,siddha [109] guru,siyag [99] hemophilia,curable [96] siyag,meditation [96] curable,guru [90] siddhayoga,many [90] meditation,siddhayoga [90] many,such [90] such,patients Top Word Pairs in Tweet in G7:
[123] em,inglês [123] os,termos [123] termos,em [123] hemophilia,following [123] inglês,hemophilia [123] covid19,vaccination [123] vaccination,vocês [123] google,usando [123] following,covid19 [123] usando,os Top Word Pairs in Tweet in G8:
[36] civil,hospital [30] factor,viii [30] factor,ix [30] viii,factor [30] life,saving [28] karnal,civil [27] run,karnal [23] hemophilia,run [23] ix,hemophilia [23] saving,factor Top Word Pairs in Tweet in G9:
[81] sky,jenlisa [81] anger,issues [81] meets,stranger [81] midnight,sky [81] girl,hemophilia [81] wherein,alya [81] unexpectedly,meets [81] alya,girl [81] stranger,anger [81] hemophilia,unexpectedly Top Word Pairs in Tweet in G10:
[78] tag,solution [78] always,standing [78] noticed,#bigpharma [78] solution,problem [78] price,tag [78] ready,big [78] #bigpharma,always [78] wings,ready [78] big,price [78] standing,wings Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G8:
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: