The graph represents a network of 1,655 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, 18 February 2020 at 02:04 UTC.
The requested start date was Tuesday, 18 February 2020 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 10-day, 13-hour, 41-minute period from Tuesday, 04 February 2020 at 01:49 UTC to Friday, 14 February 2020 at 15:30 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 : 1655
Unique Edges : 2184
Edges With Duplicates : 1517
Total Edges : 3701
Number of Edge Types : 4
MentionsInRetweet : 1832
Mentions : 899
Tweet : 741
Replies to : 229
Self-Loops : 741
Reciprocated Vertex Pair Ratio : 0.0438637424171722
Reciprocated Edge Ratio : 0.084041126508717
Connected Components : 359
Single-Vertex Connected Components : 200
Maximum Vertices in a Connected Component : 751
Maximum Edges in a Connected Component : 2648
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.211439
Graph Density : 0.00081720775781133
Modularity : 0.533685
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 1,655 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, 18 February 2020 at 02:04 UTC.
The requested start date was Tuesday, 18 February 2020 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 10-day, 13-hour, 41-minute period from Tuesday, 04 February 2020 at 01:49 UTC to Friday, 14 February 2020 at 15:30 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:
[199] gene,therapy [57] bleeding,disorders [57] #delhi,need [57] need,#blood [57] #blood,type [57] type,positive [57] positive,lok [57] lok,nayak [57] nayak,hospital [57] hospital,number Top Word Pairs in Tweet in G1:
[69] gene,therapy [37] bleeding,disorders [22] peter,collins [22] eahadnews,ehc_haemophilia [20] well,done [19] ehc_haemophilia,eahadnews [18] uk,#haemophilia [18] #haemophilia,physios [18] moderate,haemophilia [17] #eahad2020,ehc_haemophilia Top Word Pairs in Tweet in G2:
[16] àµ,ൠ[13] ãƒ,ム[12] european,association [12] association,haemophilia [12] gene,therapy [11] 13th,annual [11] annual,congress [11] congress,european [11] haemophilia,allied [11] ì,ì Top Word Pairs in Tweet in G3:
[53] health,minister [42] #contaminatedblood,#haemophilia [34] contaminated,blood [31] ken,clarke [26] appg,haemophilia [24] haemophilia,contaminated [24] 3000,dead [23] haemophilia,society [23] graymf1,#contaminatedblood [21] infected,blood Top Word Pairs in Tweet in G4:
[69] gene,therapy [24] profmakris,#haemophilia [23] #haemophilia,first [23] first,generation [23] generation,adverse [23] adverse,events [23] events,hiv [23] hiv,hep [23] hep,infections [23] infections,second Top Word Pairs in Tweet in G5:
[57] #delhi,need [57] need,#blood [57] #blood,type [57] type,positive [57] positive,lok [57] lok,nayak [57] nayak,hospital [57] hospital,number [57] number,units [57] units,primary Top Word Pairs in Tweet in G8:
[6] article,ashclinicalnews [6] macroscopic,hematuria [5] well,written [5] written,detailed [5] detailed,article [5] ashclinicalnews,costs [5] costs,treatment [5] treatment,hemophila [5] hemophila,including [5] including,quotes Top Word Pairs in Tweet in G9:
[26] #eahad2020,takeda [13] studies,suggest [13] suggest,prevalence [13] prevalence,#hemophilia [13] #hemophilia,higher [13] higher,recognized [13] recognized,europe [13] europe,#eahad2020 [13] takeda,looking [13] looking,#bleedingdisorders Top Word Pairs in Tweet in G10:
[26] alex,dowsett [20] cyclist,alex [20] dowsett,former [20] former,hour [20] hour,record [20] record,holder [20] holder,grand [20] grand,tour [20] tour,stage [20] stage,winner Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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: