The graph represents a network of 3,766 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 18:05 UTC.
The tweets in the network were tweeted over the 4424-day, 4-hour, 25-minute period from Monday, 31 January 2011 at 19:25 UTC to Monday, 13 March 2023 at 23:50 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 : 3766
Unique Edges : 2449
Edges With Duplicates : 8693
Total Edges : 11142
Number of Edge Types : 9
Retweet : 2599
MentionsInRetweet : 3299
Tweet : 1620
Mentions : 1096
Replies to : 750
MentionsInReplyTo : 1539
Quote : 107
MentionsInQuote : 121
MentionsInQuoteReply : 11
Self-Loops : 2020
Reciprocated Vertex Pair Ratio : 0.0399821308912218
Reciprocated Edge Ratio : 0.0768900343642612
Connected Components : 780
Single-Vertex Connected Components : 424
Maximum Vertices in a Connected Component : 1469
Maximum Edges in a Connected Component : 6305
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.870652
Graph Density : 0.000328373177497128
Modularity : 0.408965
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,766 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 18:05 UTC.
The tweets in the network were tweeted over the 4424-day, 4-hour, 25-minute period from Monday, 31 January 2011 at 19:25 UTC to Monday, 13 March 2023 at 23:50 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:
[600] gene,therapy [247] bleeding,disorders [175] therapy,hemophilia [159] minister,health [158] population,welfare [158] sindh,dr [158] health,population [158] welfare,sindh [133] meeting,representatives [129] first,gene Top Word Pairs in Tweet in G1:
[129] gene,therapy [50] bleeding,disorders [36] #hemophilia,#bleedingdisorders [31] contaminated,blood [31] women's,day [31] international,women's [30] therapy,#hemophilia [29] blood,products [28] haemophilia,society [26] infected,blood Top Word Pairs in Tweet in G2:
[112] gene,therapy [58] bleed,bleed [56] bleeding,disorders [40] first,gene [38] therapy,hemophilia [30] valoctocogene,roxaparvovec [29] grief,amputation [29] hemophilia,drug [29] amputation,hope [29] hope,incurable Top Word Pairs in Tweet in G3:
[112] guru,siyag [102] hemophilia,curable [99] siyag,meditation [99] curable,guru [93] meditation,siddhayoga [93] patients,cured [93] siddhayoga,many [93] such,patients [93] many,such [86] #hemophiliaiscurable,hemophilia Top Word Pairs in Tweet in G4:
[108] gene,therapy [36] factor,ix [33] etranacogene,dezaparvovec [28] therapy,etranacogene [28] research,summary [27] dezaparvovec,hemophilia [27] hemophilia,requires [26] nejm,research [25] two,year [24] valoctocogene,roxaparvovec Top Word Pairs in Tweet in G5:
[155] sindh,dr [155] population,welfare [155] minister,health [155] welfare,sindh [155] health,population [124] dr,azrapechuh [124] meeting,representatives [124] azrapechuh,held [124] held,meeting [102] representatives,hemophi Top Word Pairs in Tweet in G6:
[122] em,inglês [122] os,termos [122] termos,em [122] hemophilia,following [122] inglês,hemophilia [122] covid19,vaccination [122] vaccination,vocês [122] google,usando [122] following,covid19 [122] usando,os Top Word Pairs in Tweet in G7:
[113] plz,help [113] patients,plz [110] help,sir [57] brothers,hemophilia [57] five,brothers [57] hemophilia,patients [56] very,very [56] very,poor [56] sir,very [56] poor,patients Top Word Pairs in Tweet in G8:
[79] sky,jenlisa [79] anger,issues [79] meets,stranger [79] midnight,sky [79] girl,hemophilia [79] wherein,alya [79] unexpectedly,meets [79] alya,girl [79] stranger,anger [79] hemophilia,unexpectedly Top Word Pairs in Tweet in G9:
[76] guru,siyag's [76] frees,body [76] siyag's,siddha [76] fast,benefits [76] siddha,yoga [76] cures,frees [76] gssy,heals [76] yoga,gssy [76] disease,hiv [76] physical,disease Top Word Pairs in Tweet in G10:
[59] always,standing [59] wings,ready [59] #bigpharma,always [59] solution,problem [59] price,tag [59] ready,big [59] big,price [59] standing,wings [59] tag,solution [59] noticed,#bigpharma Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
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: