The graph represents a network of 1,809 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, 25 June 2019 at 16:41 UTC.
The requested start date was Monday, 24 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, 22-hour, 28-minute period from Monday, 10 June 2019 at 00:41 UTC to Sunday, 23 June 2019 at 23:10 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 : 1809
Unique Edges : 2199
Edges With Duplicates : 2147
Total Edges : 4346
Number of Edge Types : 3
Tweet : 735
Mentions : 3371
Replies to : 240
Self-Loops : 735
Reciprocated Vertex Pair Ratio : 0.0368888888888889
Reciprocated Edge Ratio : 0.0711530218602658
Connected Components : 431
Single-Vertex Connected Components : 233
Maximum Vertices in a Connected Component : 815
Maximum Edges in a Connected Component : 2486
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.475793
Graph Density : 0.000713309069206573
Modularity : 0.519669
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[139] gene,therapy [107] infected,blood [81] bleeding,disorders [74] blood,inquiry [71] early,stage [71] blood,test [70] simple,blood [70] test,conducted [70] conducted,anytime [70] anytime,detect Top Word Pairs in Tweet in G1:
[34] gene,therapy [28] hemophilia,gene [17] uniqure,weighs [17] weighs,sale [17] sale,hemophilia [16] therapy,turnaround [15] factor,viii [13] turnaround,report [9] hemophilia,treatment [9] #oklahomahemophiliafoundation,#bleedingdisorders Top Word Pairs in Tweet in G2:
[103] infected,blood [73] blood,inquiry [59] blood,products [44] john,cornes [42] contaminated,blood [41] #contaminatedblood,#haemophilia [41] haemophilia,sufferer [41] sufferer,tells [41] products,killed [39] told,#infectedbloodinquiry Top Word Pairs in Tweet in G3:
[45] leadership,conference [39] pain,management [28] gene,therapy [26] t,h [26] 4,7 [24] ehc_haemophilia,leadership [23] ehc_haemophilia,pain [21] ehc,leadership [17] check,out [16] l',ehc_haemophilia Top Word Pairs in Tweet in G4:
[70] simple,blood [70] blood,test [70] test,conducted [70] conducted,anytime [70] anytime,detect [70] detect,#haemophilia [70] #haemophilia,usually [70] usually,detected [70] detected,early [70] early,stage Top Word Pairs in Tweet in G5:
[12] gene,therapy [8] fixed,doses [8] n8,gp [7] oral,sessions [7] factor,viii [6] hemophilia,gene [6] hemo,b [6] today,announced [6] announced,clinical [6] clinical,data Top Word Pairs in Tweet in G7:
[14] r0samond,freewillburnin [14] freewillburnin,standbackup2 [14] rholftroy,bellpipe41 [14] bellpipe41,wisemanryder [14] wisemanryder,michaelhulm [14] ebatterson,yicyac [14] yicyac,odktiger [14] odktiger,foeckekeith [14] foeckekeith,__helicon__ [14] __helicon__,ingridingwah Top Word Pairs in Tweet in G8:
[36] gene,therapy [34] bluebird,bio [34] bio,delaying [34] delaying,launch [34] launch,1 [34] 1,8 [34] 8,million [34] million,gene [34] therapy,europe [34] europe,manufacturing Top Word Pairs in Tweet in G9:
[8] bleeding,disorders [7] gene,therapy [6] htrstoday,nhf_hemophilia [5] hemophilia,gene [5] judith,grahm [5] grahm,pool [5] pool,postdoctoral [5] postdoctoral,research [5] research,fellowships [5] fellowships,open Top Word Pairs in Tweet in G10:
[19] monopolies,allow [14] determine,suffer [13] mom,child [13] child,struggling [13] struggling,hemophilia [13] hemophilia,#bigpharma [13] #bigpharma,monopolies [13] allow,corporations [13] corporations,determine [12] drsriram,mom Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Tweeters in G10: