The graph represents a network of 2,355 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, 11 February 2019 at 20:16 UTC.
The requested start date was Monday, 11 February 2019 at 01:01 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, 19-hour, 45-minute period from Monday, 28 January 2019 at 01:03 UTC to Sunday, 10 February 2019 at 20:48 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 : 2355
Unique Edges : 2903
Edges With Duplicates : 1936
Total Edges : 4839
Number of Edge Types : 3
Mentions : 3085
Tweet : 1526
Replies to : 228
Self-Loops : 1526
Reciprocated Vertex Pair Ratio : 0.0384024577572965
Reciprocated Edge Ratio : 0.0739644970414201
Connected Components : 701
Single-Vertex Connected Components : 467
Maximum Vertices in a Connected Component : 780
Maximum Edges in a Connected Component : 2459
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.723513
Graph Density : 0.000487763521277421
Modularity : 0.55723
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[299] gene,therapy [202] hemophilia,drug [171] hemophilia,b [130] 155,million [130] pay,bayer [127] bayer,155 [127] hemophilia,3e2 [113] u,s [112] jury,orders [112] takeda,pay Top Word Pairs in Tweet in G1:
[157] hemophilia,drug [97] 155,million [94] pay,bayer [88] bayer,155 [87] u,s [87] jury,orders [87] orders,takeda [87] takeda,pay [85] million,over [84] s,jury Top Word Pairs in Tweet in G2:
[127] gene,therapy [47] haemophilia,care [34] haemophilia,hemophilia [34] haemophilia,eahad2019 [31] pw,haemophilia [30] hemophilia,b [28] haemophilia,b [28] eahad2019,haemophilia [25] vjimenezyuste,eahad2019 [25] severe,haemophilia Top Word Pairs in Tweet in G3:
[90] haemophilia,society [37] bleeding,disorders [30] infected,blood [27] blood,inquiry [25] blood,scandal [20] disorders,community [19] contaminated,blood [19] world,hemophilia [19] hemophilia,day [18] april,17 Top Word Pairs in Tweet in G4:
[64] stucam7771,hilbillyliberal [58] rare,bleeding [58] bleeding,disorder [58] disorder,called [57] hilbillyliberal,total [57] total,insurance [57] insurance,claims [57] claims,2018 [57] 2018,rare [57] thehiphemo,stucam7771 Top Word Pairs in Tweet in G5:
[59] renal,failure [59] failure,hemophilia [58] tennessee,health [58] health,officials [58] officials,consider [58] consider,eliminating [58] eliminating,programs [58] programs,pay [58] pay,medication [58] medication,renal Top Word Pairs in Tweet in G6:
[30] humanitarian,aid [30] aid,program [28] people,hemophilia [27] wfh,humanitarian [26] many,1 [26] 1,000 [26] 000,people [24] roche,roche [19] prophylactic,treatment [16] roche,donates Top Word Pairs in Tweet in G9:
[48] wait,thought [48] thought,blood [48] blood,drop [48] drop,code [48] code,hematology [48] hematology,hemophilia [48] hemophilia,etc [48] etc,officially [48] officially,period [47] velcropoodle,wait Top Word Pairs in Tweet in G10:
[25] review,series [21] bloodjournal,review [16] gene,therapy [16] therapy,hemophilia [15] update,clinical [15] clinical,gene [14] series,update [8] new,therapies [7] therapies,hemophilia [7] series,new Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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