The graph represents a network of 2,100 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, 02 March 2021 at 16:38 UTC.
The requested start date was Tuesday, 02 March 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, 23-hour, 51-minute period from Tuesday, 16 February 2021 at 01:02 UTC to Tuesday, 02 March 2021 at 00:53 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 : 2100
Unique Edges : 1393
Edges With Duplicates : 3682
Total Edges : 5075
Number of Edge Types : 5
Retweet : 1293
MentionsInRetweet : 1679
Mentions : 1009
Tweet : 773
Replies to : 321
Self-Loops : 789
Reciprocated Vertex Pair Ratio : 0.0405343159834178
Reciprocated Edge Ratio : 0.0779105799026118
Connected Components : 477
Single-Vertex Connected Components : 235
Maximum Vertices in a Connected Component : 724
Maximum Edges in a Connected Component : 3034
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.904778
Graph Density : 0.000512488940311713
Modularity : 0.442849
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 2,100 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, 02 March 2021 at 16:38 UTC.
The requested start date was Tuesday, 02 March 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, 23-hour, 51-minute period from Tuesday, 16 February 2021 at 01:02 UTC to Tuesday, 02 March 2021 at 00:53 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:
[141] suffers,hemophilia [135] old,palestinian [131] israeli,interrogators [131] interrogators,torture [131] torture,20yr [131] 20yr,old [131] palestinian,youngster [131] youngster,suffers [131] hemophilia,beating [131] beating,until Top Word Pairs in Tweet in G1:
[48] bleeding,disorders [38] gene,therapy [36] rare,disease [35] learn,more [27] charitymiles,nhf_hemophilia [26] raise,awareness [25] fda,given [25] given,bivv001 [25] bivv001,renamed [25] renamed,efanesoctocog Top Word Pairs in Tweet in G2:
[14] bleeding,disorders [12] willebrand,disease [11] severe,haemophilia [11] blood,products [11] hemophilia,willebrand [10] data,nuprotect [10] nuprotect,study [10] study,published [10] published,immunogenicity [10] immunogenicity,nuwiq Top Word Pairs in Tweet in G3:
[64] macfarlane,trust [51] infected,blood [32] contaminated,blood [28] #contaminatedblood,bloodinquiry [28] bloodinquiry,#haemophilia [24] blood,inquiry [24] mr,stevens [23] #contaminatedblood,#haemophilia [23] haemophilia,hiv [21] evidence,bloodinquiry Top Word Pairs in Tweet in G4:
[131] israeli,interrogators [131] interrogators,torture [131] torture,20yr [131] 20yr,old [131] old,palestinian [131] palestinian,youngster [131] youngster,suffers [131] suffers,hemophilia [131] hemophilia,beating [131] beating,until Top Word Pairs in Tweet in G5:
[88] identify,alt [88] alt,right [88] right,religious [88] religious,conservative [88] conservative,bigot [88] bigot,whole [88] whole,lot [88] lot,left [88] left,leaning [88] leaning,tech Top Word Pairs in Tweet in G6:
[13] gene,therapy [10] clinical,trial [8] sgmo,sangamo [8] sangamo,therapeutics [8] therapeutics,impressive [8] impressive,17 [8] 17,treatments [8] treatments,pipeline [8] pipeline,oncology [8] oncology,ms Top Word Pairs in Tweet in G7:
[6] 나,guocheng's [6] guocheng's,girlfriend [4] #rt,추첨 [3] 자세한,사항은 [2] 한국아이돌을,한번이라도 [2] 한번이라도,좋아했으면 [2] 좋아했으면,싫어할수가 [2] 싫어할수가,없는 [2] 없는,컨셉에 [2] 컨셉에,노래임 Top Word Pairs in Tweet in G9:
[20] fun,free [20] free,app [17] haemo,heroes [17] heroes,fun [14] lead,healthy [12] everyday,help [12] help,haemophilia [12] haemophilia,download [12] download,haemo [12] app,teaches Top Word Pairs in Tweet in G10:
[6] sumanthraman,mohfw_india [5] vijayabaskarofl,cmotamilnadu [5] cmotamilnadu,rakri1 [5] rakri1,sumanthraman [5] mohfw_india,drsenthil_mdrd [3] #tngovt,hospital [3] nataraj_bodhi,vijayabaskarofl [2] respected,sir [2] sir,vijayabaskarofl [2] vijayabaskarofl,suffering Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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: