The graph represents a network of 2,021 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 Monday, 20 May 2019 at 16:42 UTC.
The requested start date was Monday, 20 May 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, 31-minute period from Monday, 06 May 2019 at 00:28 UTC to Monday, 20 May 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 : 2021
Unique Edges : 2553
Edges With Duplicates : 4244
Total Edges : 6797
Number of Edge Types : 3
Tweet : 774
Mentions : 5690
Replies to : 333
Self-Loops : 774
Reciprocated Vertex Pair Ratio : 0.040014164305949
Reciprocated Edge Ratio : 0.0769492679605039
Connected Components : 472
Single-Vertex Connected Components : 243
Maximum Vertices in a Connected Component : 780
Maximum Edges in a Connected Component : 5197
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.329322
Graph Density : 0.000719426222681645
Modularity : 0.410025
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[955] pass,budget [955] budget,request [946] request,specialty [945] please,pass [912] specialty,pharmacies [865] pharmacies,protect [855] protect,#hemophilia [675] asmblancarubio,please [630] jimwoodad2,asmblancarubio [629] asmreyes47,jimwoodad2 Top Word Pairs in Tweet in G1:
[26] gene,therapy [22] hemophilia,b [13] 부모님,선물로 [13] 선물로,엽산이 [13] 엽산이,답 [10] blood,clotting [10] treatment,hemophilia [9] factor,viii [9] ヘマトフィリア,血液性愛 [9] diagnostic,test Top Word Pairs in Tweet in G2:
[41] contaminated,blood [37] #contaminatedblood,#haemophilia [31] blood,scandal [28] #infectedbloodinquiry,#contaminatedblood [28] infected,blood [26] blood,inquiry [23] lauren,palmer [20] told,#infectedbloodinquiry [19] lost,parents [17] giving,evidence Top Word Pairs in Tweet in G3:
[38] estamos,esperanzados [38] esperanzados,tras [38] tras,iniciar [38] iniciar,ensayos [38] ensayos,terapia [38] terapia,génica [38] génica,primer [38] primer,paciente [38] paciente,nuestro [38] nuestro,centro Top Word Pairs in Tweet in G4:
[953] pass,budget [953] budget,request [944] request,specialty [943] please,pass [910] specialty,pharmacies [863] pharmacies,protect [853] protect,#hemophilia [675] asmblancarubio,please [630] jimwoodad2,asmblancarubio [629] asmreyes47,jimwoodad2 Top Word Pairs in Tweet in G5:
[2] karenlkeeley1,trishoconn26 [2] trishoconn26,dr_zenitram [2] eventhedogsabo1,kwalksagain [2] kwalksagain,just2bizi [2] just2bizi,sgtrolls3 [2] sgtrolls3,4everleather1 [2] 4everleather1,kevinjosborne [2] kevinjosborne,cplbart [2] cplbart,coloradogal15 [2] coloradogal15,emartinez78987 Top Word Pairs in Tweet in G6:
[28] bleeding,disorders [15] celebrate,moms [13] bleeding,disorder [9] moms,bleeding [9] disorders,community [8] #hemophilia,#bleedingdisorders [7] mental,health [6] register,today [6] 1,800 [6] weekend,people Top Word Pairs in Tweet in G7:
[25] icmr,niih [25] niih,mumbai [25] mumbai,developed [25] developed,cost [25] cost,effective [25] effective,point [25] point,care [25] care,rapid [25] rapid,poc [25] poc,diagnostic Top Word Pairs in Tweet in G8:
[2] mvarogier,celtgunn [2] celtgunn,sambyhere [2] sambyhere,terryatthebeach [2] terryatthebeach,federalistno78 [2] federalistno78,thomasfines [2] thomasfines,djmwhb3c [2] djmwhb3c,nasty_1_ [2] nasty_1_,lavenderlives [2] lavenderlives,paulacblades001 [2] paulacblades001,devine_freedom Top Word Pairs in Tweet in G10:
[15] sb,525 [15] _b_i_o_t_e_c_h_,sgmo [13] hemophilia,program [11] gene,therapy [9] bmrn,once [9] sgmo,hemophilia [9] hemophilia,sb [9] 525,gene [9] therapy,clinical [9] clinical,data Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 G8:
Top Replied-To in G9:
Top Replied-To in G10:
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: