The graph represents a network of 1,701 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, 19 January 2021 at 16:36 UTC.
The requested start date was Tuesday, 19 January 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 46-minute period from Tuesday, 05 January 2021 at 02:00 UTC to Tuesday, 19 January 2021 at 00:46 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 : 1701
Unique Edges : 1349
Edges With Duplicates : 2654
Total Edges : 4003
Number of Edge Types : 5
Retweet : 930
MentionsInRetweet : 1319
Tweet : 636
Mentions : 739
Replies to : 379
Self-Loops : 644
Reciprocated Vertex Pair Ratio : 0.0444563470808784
Reciprocated Edge Ratio : 0.0851282051282051
Connected Components : 411
Single-Vertex Connected Components : 186
Maximum Vertices in a Connected Component : 493
Maximum Edges in a Connected Component : 2210
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.037798
Graph Density : 0.000674343811598714
Modularity : 0.468217
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 1,701 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, 19 January 2021 at 16:36 UTC.
The requested start date was Tuesday, 19 January 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 46-minute period from Tuesday, 05 January 2021 at 02:00 UTC to Tuesday, 19 January 2021 at 00:46 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : hemophilia OR haemophilia OR bleedingdisorders OR hemochat
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[116] gene,therapy [86] willebrand,disease [78] jack,dorsey [76] hemophilia,simply [76] simply,hire [76] hire,jack [76] dorsey,pray [76] pray,sparking [76] sparking,national [76] national,controversy Top Word Pairs in Tweet in G1:
[84] willebrand,disease [58] bleeding,disorders [54] isth,nhf_hemophilia [51] clinical,practice [50] ash_hematology,isth [40] disease,#vwd [35] gene,therapy [34] covid,19 [32] practice,guidelines [31] guidelines,diagnosis Top Word Pairs in Tweet in G2:
[30] gene,therapy [15] severe,hemophilia [13] therapy,trial [13] adults,severe [12] positive,phase [12] phase,gene [12] trial,results [12] results,adults [12] one,year [11] met,primary Top Word Pairs in Tweet in G3:
[63] ì,ì [46] ì,ë [32] ë,ì [30] ë,ë [21] ê,ì [18] ì,œ [16] ê,ë [14] ì,ê [14] í,ì [13] ë,ê Top Word Pairs in Tweet in G4:
[59] haemophilia,centre [40] manchester,haemophilia [32] dr,bevan [31] haemosocuk_pi,dr [27] infected,blood [26] dr,david [26] david,bevan [25] blood,inquiry [24] dr,shirley [19] jenni,richards Top Word Pairs in Tweet in G5:
[76] hemophilia,simply [76] simply,hire [76] hire,jack [76] jack,dorsey [76] dorsey,pray [76] pray,sparking [76] sparking,national [76] national,controversy [75] missjellinsky,hemophilia Top Word Pairs in Tweet in G7:
[2] just4thecause,kainseth [2] kainseth,risettemd [2] risettemd,holybasil2024 [2] charitable_fury,geoffschuler [2] geoffschuler,cvrx [2] cvrx,paulvcooper1 [2] paulvcooper1,doritmi [2] doritmi,swedishchf [2] swedishchf,terrorbyte101 [2] terrorbyte101,freedomvivian Top Word Pairs in Tweet in G9:
[22] gene,therapy [12] bmrn,biomarin [11] biomarin,announces [11] announces,positive [11] positive,phase [11] phase,gene [11] therapy,trial [11] trial,results [11] results,adults [11] adults,severe Top Word Pairs in Tweet in G10:
[25] excerpt,annual [25] annual,haemophilia [25] haemophilia,checkup [25] checkup,done [25] done,remotely [25] remotely,climates [25] climates,haemophilia [25] haemophilia,look [24] alexdowsett,excerpt [2] alexdowsett,littlebleeders 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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