The graph represents a network of 2,682 Twitter users whose tweets in the requested range contained "hemophilia OR haemophilia OR bleedingdisorders OR hemochat ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 21 December 2021 at 18:58 UTC.
The requested start date was Tuesday, 21 December 2021 at 01:01 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 13-day, 9-hour, 45-minute period from Tuesday, 07 December 2021 at 01:08 UTC to Monday, 20 December 2021 at 10:53 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 : 2682
Unique Edges : 2061
Edges With Duplicates : 5263
Total Edges : 7324
Number of Edge Types : 5
Retweet : 2007
MentionsInRetweet : 2323
Tweet : 1809
Replies to : 242
Mentions : 943
Self-Loops : 1816
Reciprocated Vertex Pair Ratio : 0.0246739513570673
Reciprocated Edge Ratio : 0.0481596147230822
Connected Components : 495
Single-Vertex Connected Components : 278
Maximum Vertices in a Connected Component : 737
Maximum Edges in a Connected Component : 2807
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.871098
Graph Density : 0.000404286690581747
Modularity : 0.431307
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,682 Twitter users whose tweets in the requested range contained "hemophilia OR haemophilia OR bleedingdisorders OR hemochat ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 21 December 2021 at 18:58 UTC.
The requested start date was Tuesday, 21 December 2021 at 01:01 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 13-day, 9-hour, 45-minute period from Tuesday, 07 December 2021 at 01:08 UTC to Monday, 20 December 2021 at 10:53 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 : 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:
[689] ì,ì [612] ë,ì [582] ì,ë [495] ë,ë [276] ê,ì [271] ë,ê [231] ê,ë [227] gene,therapy [214] ì,ê [176] midnight,sky Top Word Pairs in Tweet in G1:
[679] ì,ì [599] ë,ì [576] ì,ë [488] ë,ë [273] ê,ì [270] ë,ê [230] ê,ë [209] ì,ê [162] ì,œ [141] œ,ì Top Word Pairs in Tweet in G2:
[73] gene,therapy [34] hemophilia,gene [30] generation,bio [24] bleed,bleed [20] data,phase [19] csl,behring [19] phase,iii [19] sustained,bleeding [19] bleeding,control [18] safety,efficacy Top Word Pairs in Tweet in G3:
[174] midnight,sky [174] sky,jenlisa [174] jenlisa,wherein [174] wherein,alya [174] alya,girl [174] girl,hemophilia [174] hemophilia,unexpectedly [174] unexpectedly,meets [174] meets,stranger [174] stranger,anger Top Word Pairs in Tweet in G4:
[46] gene,therapy [31] bleeding,disorders [19] therapy,#hemophilia [19] profmakris,#ash21 [17] #ash21,plenary [14] acquired,#hemophilia [14] catalan,#haemophilia [14] #haemophilia,society [12] alta,study [11] #hemophilia,inhibitors Top Word Pairs in Tweet in G5:
[38] late,breaking [31] alok,srivastava [26] proud,moment [26] breaking,abstract [25] srivastava,offcmcvellore [24] such,proud [24] moment,indians [24] indians,prof [24] prof,alok [24] offcmcvellore,ash Top Word Pairs in Tweet in G6:
[93] siyag's,siddha [93] siddha,yoga [69] yoga,gssy [47] benefits,guru [47] guru,siyag's [47] gssy,heals [47] heals,cures [47] cures,frees [47] frees,body [47] body,physical Top Word Pairs in Tweet in G7:
[24] gene,therapy [11] etranacogene,dezaparvovec [10] csl,behring [8] phase,iii [8] therapy,hemophilia [8] uniqure,csl [7] people,#haemophilia [7] #haemophilia,bleed [7] bleed,matters [7] matters,treatment Top Word Pairs in Tweet in G8:
[2] tellingnort,nickdone8 [2] grannyspaddle,nhsoutherngirl [2] nhsoutherngirl,erockdouble1 [2] bobsdog4,jvangent1001 [2] jvangent1001,septrose70 [2] septrose70,tomdoubting [2] tomdoubting,pjglad [2] pjglad,angrypamela [2] crazyjo43424351,pamelaedwards [2] pamelaedwards,teamphil Top Word Pairs in Tweet in G9:
[4] provaxtexan,ogilville1 [4] ogilville1,zeetubes [4] zeetubes,takethatearth [4] takethatearth,sj_ca1867 [4] sj_ca1867,jimeeliberty [4] jimeeliberty,sammy44231 [4] sammy44231,vengynce [4] vengynce,pauldesmoparker [4] pauldesmoparker,skepticalprune [4] skepticalprune,doom37455413 Top Word Pairs in Tweet in G10:
[14] bloodinquiry,#haemophilia [13] apology,consultant [13] consultant,haemotologist [13] haemotologist,dr [13] dr,lorna [13] lorna,williamson [13] williamson,haemosocuk_pi [13] haemosocuk_pi,#contaminatedblood [13] #contaminatedblood,#haemophilia [13] #haemophilia,bloodinquiry Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G10: