The graph represents a network of 2,525 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 Wednesday, 07 April 2021 at 15:38 UTC.
The requested start date was Tuesday, 06 April 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 13-day, 23-hour, 42-minute period from Tuesday, 23 March 2021 at 00:04 UTC to Monday, 05 April 2021 at 23:47 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 : 2525
Unique Edges : 1663
Edges With Duplicates : 4175
Total Edges : 5838
Number of Edge Types : 5
Retweet : 1482
MentionsInRetweet : 1849
Replies to : 607
Mentions : 879
Tweet : 1021
Self-Loops : 1043
Reciprocated Vertex Pair Ratio : 0.0397324940991345
Reciprocated Edge Ratio : 0.0764283011729096
Connected Components : 551
Single-Vertex Connected Components : 270
Maximum Vertices in a Connected Component : 625
Maximum Edges in a Connected Component : 2453
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.338553
Graph Density : 0.000414711835684361
Modularity : 0.455201
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 2,525 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 Wednesday, 07 April 2021 at 15:38 UTC.
The requested start date was Tuesday, 06 April 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 13-day, 23-hour, 42-minute period from Tuesday, 23 March 2021 at 00:04 UTC to Monday, 05 April 2021 at 23:47 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:
[330] ล,กษณะทางพ [330] กษณะทางพ,นธ [330] นธ,กรรมท [174] sickle,cell [167] cell,anemia [166] กรรมท,ควบค [166] ควบค,มโดยย [166] มโดยย,นด [166] นด,อยบน [165] อยบน,autosome Top Word Pairs in Tweet in G1:
[41] bleeding,disorders [37] bleeding,disorder [25] humanitarian,aid [25] aid,program [23] rare,#bleedingdisorder [22] bleed,matters [22] matters,believe [22] believe,everyone [22] everyone,rare [22] #bleedingdisorder,matter Top Word Pairs in Tweet in G2:
[42] gene,therapy [32] bleeding,disorders [28] hemophilia,gene [15] hepatocellular,carcinoma [14] hemophilia,pipeline [14] case,hepatocellular [14] therapy,program [13] findings,reported [13] reported,case [12] awareness,month Top Word Pairs in Tweet in G3:
[19] troll,center [17] acuerdas,barrera [17] barrera,vio [17] vio,perdido [17] perdido,contra [17] contra,rodas [17] rodas,troll [17] center,hizo [17] hizo,llamadas [17] llamadas,falsas Top Word Pairs in Tweet in G4:
[330] ล,กษณะทางพ [330] กษณะทางพ,นธ [330] นธ,กรรมท [166] กรรมท,ควบค [166] ควบค,มโดยย [166] มโดยย,นด [166] นด,อยบน [165] อยบน,autosome [165] autosome,ผ [165] ผ,วเผ Top Word Pairs in Tweet in G5:
[54] haemophilia,centre [37] contaminated,blood [33] belfast,haemophilia [31] blood,scandal [30] infected,blood [26] dr,gary [26] gary,benson [20] northern,ireland [17] blood,products [17] ireland,haemophilia Top Word Pairs in Tweet in G6:
[12] 개,웃 [12] 웃,겨 [11] 겨,개 [5] 헹가래,앨범 [4] 한,자 [4] 사람들,너무 [4] 최,승철 [4] hemophilia_fear,웅 [3] 앨범,양도 [3] 나,guocheng's Top Word Pairs in Tweet in G7:
[103] tsarina,alexandra [103] alexandra,tsarevich [103] tsarevich,alexei [103] alexei,stateroom [103] stateroom,aboard [103] aboard,imperial [103] imperial,yacht [103] yacht,standart [103] standart,circa [103] circa,1911 Top Word Pairs in Tweet in G8:
[53] person,borderline [53] borderline,personality [53] personality,disorder [53] disorder,suffers [53] suffers,kind [53] kind,emotional [53] emotional,hemophilia [53] hemophilia,lack [53] lack,clotting [53] clotting,mechanism Top Word Pairs in Tweet in G9:
[44] aeri_xster,yixing [43] yixing,injured [43] injured,waist [43] waist,lower [43] lower,back [43] back,months [43] months,before [43] before,debut [43] debut,surgery [43] surgery,coz Top Word Pairs in Tweet in G10:
[27] gene,therapy [14] hemophilia,gene [9] hepatocellular,carcinoma [9] hcc,hemophilia [8] looks,#may [8] #may,biggest [8] biggest,sgmo [8] sgmo,month [8] month,year [8] year,hemophilia Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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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: