The graph represents a network of 1,764 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, 11 June 2019 at 16:41 UTC.
The requested start date was Monday, 10 June 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 15-minute period from Monday, 27 May 2019 at 00:44 UTC to Monday, 10 June 2019 at 00:00 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 : 1764
Unique Edges : 1966
Edges With Duplicates : 922
Total Edges : 2888
Number of Edge Types : 3
Tweet : 782
Mentions : 1872
Replies to : 234
Self-Loops : 782
Reciprocated Vertex Pair Ratio : 0.0274756725815684
Reciprocated Edge Ratio : 0.0534818941504178
Connected Components : 508
Single-Vertex Connected Components : 298
Maximum Vertices in a Connected Component : 675
Maximum Edges in a Connected Component : 1668
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.969401
Graph Density : 0.00057718303808572
Modularity : 0.631528
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[306] gene,therapy [170] hemophilia,gene [167] more,50 [166] 50,boys [166] boys,school [166] school,children [166] children,disabilities [166] disabilities,infected [166] infected,#hiv [166] #hiv,being Top Word Pairs in Tweet in G1:
[126] gene,therapy [119] ã,ã [90] hemophilia,gene [42] ø,ø [40] ø,ù [40] à,à [33] ù,ø [26] valoctocogene,roxaparvovec [26] ë,ì [23] data,shows Top Word Pairs in Tweet in G2:
[160] more,50 [160] 50,boys [160] boys,school [160] school,children [160] children,disabilities [160] disabilities,infected [160] infected,#hiv [160] #hiv,being [160] being,secretly [160] secretly,enrolled Top Word Pairs in Tweet in G3:
[24] blood,scandal [22] #contaminatedblood,#haemophilia [20] hep,c [16] tragedy,89 [16] 89,'guinea [16] 'guinea,pig' [16] pig',schoolboys [16] schoolboys,haemophilia [16] haemophilia,given [16] given,hiv Top Word Pairs in Tweet in G4:
[25] bleeding,disorders [13] gene,therapy [11] pleased,announce [9] women,bleeding [9] care,treatment [9] people,mild [8] announce,information [8] information,day [8] day,people [8] mild,moderate Top Word Pairs in Tweet in G5:
[94] gene,therapy [62] hemophilia,gene [17] seek,approval [17] 3,year [16] approval,hemophilia [16] therapy,durability [16] durability,questions [16] questions,persist [16] update,hemophilia [16] factor,viii Top Word Pairs in Tweet in G6:
[2] perp,walked [2] mother,child [2] child,hemophilia [2] front,cameras [2] riotwomennn,willpowellart [2] willpowellart,meetthepress [2] meetthepress,yamiche [2] yamiche,eurotechnocrat [2] eurotechnocrat,kamala [2] kamala,harris Top Word Pairs in Tweet in G7:
[31] gene,therapy [16] #haemophilia,#hemophilia [12] participar,medical [12] medical,education [12] education,program [12] program,haemophilia [12] haemophilia,management [10] neqas,meeting [9] management,hospitallafe [8] voy,participar Top Word Pairs in Tweet in G8:
[8] iii,jornadas [8] sobre,hemofilia [8] hemofilia,abordaje [8] abordaje,multidisciplinar [8] multidisciplinar,17 [8] 17,18 [8] 18,junio [8] junio,#madrid [8] #madrid,hemostasiahulp [8] magical,story Top Word Pairs in Tweet in G9:
[4] taylorrmarshall,rccoulombe [3] rccoulombe,hemophilia [2] hemophilia,habsburg Top Word Pairs in Tweet in G10:
[15] trump,fits [15] fits,extremely [15] extremely,well [15] well,euro [15] euro,royalty [15] royalty,bunch [15] bunch,dumb [15] dumb,rich [15] rich,white [15] white,people 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 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:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: