The graph represents a network of 1,767 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, 23 February 2021 at 16:37 UTC.
The requested start date was Tuesday, 23 February 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, 30-minute period from Tuesday, 09 February 2021 at 02:00 UTC to Tuesday, 23 February 2021 at 00:30 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 : 1767
Unique Edges : 1272
Edges With Duplicates : 3158
Total Edges : 4430
Number of Edge Types : 5
Tweet : 703
Retweet : 1043
MentionsInRetweet : 1435
Replies to : 331
Mentions : 918
Self-Loops : 711
Reciprocated Vertex Pair Ratio : 0.0426929392446634
Reciprocated Edge Ratio : 0.0818897637795276
Connected Components : 433
Single-Vertex Connected Components : 203
Maximum Vertices in a Connected Component : 623
Maximum Edges in a Connected Component : 2815
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.897604
Graph Density : 0.000610474785949274
Modularity : 0.426114
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 1,767 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, 23 February 2021 at 16:37 UTC.
The requested start date was Tuesday, 23 February 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, 30-minute period from Tuesday, 09 February 2021 at 02:00 UTC to Tuesday, 23 February 2021 at 00:30 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:
[147] haemophilia,society [106] mr,watters [96] gene,therapy [88] identify,alt [88] alt,right [88] right,religious [88] religious,conservative [88] conservative,bigot [88] bigot,whole [88] whole,lot Top Word Pairs in Tweet in G1:
[61] gene,therapy [39] bleeding,disorders [31] bleeding,disorder [27] charitymiles,nhf_hemophilia [23] far,go [23] go,investigating [23] investigating,individuals [23] individuals,bleeding [23] disorder,very [23] very,good Top Word Pairs in Tweet in G2:
[13] gene,therapy [12] severe,haemophilia [11] nuwiq,previously [11] previously,untreated [11] untreated,patients [11] patients,severe [11] nuprotect,study [10] data,nuprotect [10] study,published [10] published,immunogenicity Top Word Pairs in Tweet in G3:
[139] haemophilia,society [106] mr,watters [48] david,watters [47] haemophilia,society's [42] general,secretary [41] secretary,haemophilia [35] prof,bloom [31] #contaminatedblood,bloodinquiry [27] haemophilia,centre [27] haemosocuk_pi,mr Top Word Pairs in Tweet in G4:
[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 G5:
[4] 내일,오후 [3] 나,230억's [3] 230억's,girlfriend [2] 나,청자켓 [2] 청자켓,좋아하네 [2] 체리가,달라보일때가 [2] 달라보일때가,언제야 [2] 언제야,애들 [2] 애들,혼낼때ㅋㅋㅋㅋ [2] 혼낼때ㅋㅋㅋㅋ,킹받아 Top Word Pairs in Tweet in G6:
[57] الهيموفيليا,hemophilia [53] ثريد,جديد [53] جديد,الهيموفيليا [52] nora_laboratory,ثريد [6] الـ,factor [6] المسبب,للـ [6] للـ,hemophilia [5] ينتج,عن [5] عن,نقص [5] نقص,عامل Top Word Pairs in Tweet in G8:
[6] inhibitor,recurrence [5] patients,#hemophilia [4] thoughts,switching [4] switching,#iti [4] #iti,fviii [4] fviii,tolerized [4] tolerized,patients [4] #hemophilia,#emicizumab [4] #emicizumab,inhibitor [3] rpthjournal,thoughts Top Word Pairs in Tweet in G9:
[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 Word Pairs in Tweet in G10:
[6] re,pleased [6] pleased,share [6] share,investigational [6] investigational,factor [6] factor,viii [6] viii,therapy [6] therapy,people [6] people,#hemophiliaa [6] #hemophiliaa,received [5] sanofigenzyme,re Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: