The graph represents a network of 3,286 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, 13 August 2019 at 16:50 UTC.
The requested start date was Monday, 12 August 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, 15-minute period from Monday, 29 July 2019 at 00:55 UTC to Sunday, 11 August 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 : 3286
Unique Edges : 3434
Edges With Duplicates : 766
Total Edges : 4200
Number of Edge Types : 3
Mentions : 3466
Tweet : 569
Replies to : 165
Self-Loops : 569
Reciprocated Vertex Pair Ratio : 0.00879054258866323
Reciprocated Edge Ratio : 0.0174278846153846
Connected Components : 363
Single-Vertex Connected Components : 203
Maximum Vertices in a Connected Component : 2013
Maximum Edges in a Connected Component : 2016
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 2.150092
Graph Density : 0.000308304869790292
Modularity : 0.577733
NodeXL Version : 1.0.1.418
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1965] نقص,b12 [1965] وجود,امراض [1965] امراض,بالدم [1965] بالدم,مثل [1965] مثل,hemophilia [1965] تمزق,بالاوعية [1965] بالاوعية,الدمويه [1965] الدمويه,الصغيره [1964] من,اسباب [1964] اسباب,حدوث Top Word Pairs in Tweet in G1:
[1953] من,اسباب [1953] اسباب,حدوث [1953] حدوث,الكدمات [1953] الكدمات,هذه١ [1953] هذه١,نقص [1953] نقص,b12 [1953] b12,٢ [1953] ٢,وجود [1953] وجود,امراض [1953] امراض,بالدم Top Word Pairs in Tweet in G2:
[45] #hiv,#hepc [29] prison,blood [28] #arkansas,prison [28] ó,ó [24] haemophilia,centre [23] 1980,s [23] blood,programme [20] bloom,removed [19] university,hospital [19] hospital,wales Top Word Pairs in Tweet in G3:
[33] ã,ã [31] gene,therapy [29] ë,ì [27] ø,ø [24] ì,ì [23] hemophilia,gene [22] ù,ø [22] ø,ù [20] ì,í [19] biomarin,drops Top Word Pairs in Tweet in G4:
[33] gene,therapy [20] phase,3 [18] sgmo,pfe [18] pfe,sgmo [14] brilliant,review [14] review,kathy [14] kathy,high [14] high,gene [14] therapy,week's [14] week's,new Top Word Pairs in Tweet in G5:
[10] bleeding,disorder [8] bleeding,disorders [6] s,day [6] million,americans [5] last,month [5] willebrand,disease [5] hemophilia,b [5] catch,up [5] season,9 [5] stop,bleeding Top Word Pairs in Tweet in G6:
[2] sjpovey,gazza41 [2] gazza41,roblev0 [2] roblev0,mindedmusically [2] mindedmusically,eyeswideopen69 [2] eyeswideopen69,david19531501 [2] david19531501,charithruckmal [2] charithruckmal,jesse_t_white [2] jesse_t_white,nicko00127 [2] nicko00127,nickstevenson63 [2] nickstevenson63,holdstk Top Word Pairs in Tweet in G8:
[27] pouvoir,des [27] des,#patients [25] rã,alitã [22] â,â [15] â,pouvoir [15] #patients,ã [15] ã,fois [15] fois,une [15] une,rã [15] alitã,car Top Word Pairs in Tweet in G9:
[63] ì,ì [46] ë,ë [43] ë,ì [38] ì,ë [25] ë,ˆë [23] ìš,ì [19] í,ë [16] ì,ê [16] ê,ì [16] ì,í Top Word Pairs in Tweet in G10:
[3] oxford,#haemophilia [3] #haemophilia,centre [3] centre,looking [3] looking,new [3] new,band [3] band,7 [3] 7,nurse [3] nurse,find [3] find,more [3] more,information Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: