The graph represents a network of 3,957 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, 26 October 2021 at 16:39 UTC.
The requested start date was Tuesday, 26 October 2021 at 00:01 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, 56-minute period from Tuesday, 12 October 2021 at 00:57 UTC to Monday, 25 October 2021 at 23:54 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 : 3957
Unique Edges : 1370
Edges With Duplicates : 7623
Total Edges : 8993
Number of Edge Types : 5
Tweet : 1121
Replies to : 262
Retweet : 3230
MentionsInRetweet : 3499
Mentions : 881
Self-Loops : 1134
Reciprocated Vertex Pair Ratio : 0.0153503342411488
Reciprocated Edge Ratio : 0.0302365276761765
Connected Components : 385
Single-Vertex Connected Components : 161
Maximum Vertices in a Connected Component : 1676
Maximum Edges in a Connected Component : 3351
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.257255
Graph Density : 0.000261979576708463
Modularity : 0.437924
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,957 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, 26 October 2021 at 16:39 UTC.
The requested start date was Tuesday, 26 October 2021 at 00:01 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, 56-minute period from Tuesday, 12 October 2021 at 00:57 UTC to Monday, 25 October 2021 at 23:54 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:
[1677] case,hemophilia [1676] การร,วมเพศทางเคร [1676] วมเพศทางเคร,อญาต [1676] อญาต,น [1676] น,าสนใจ [1676] าสนใจ,ร [1676] ร,ม [1676] ม,ยว [1676] ยว,า [1676] า,case Top Word Pairs in Tweet in G1:
[1676] การร,วมเพศทางเคร [1676] วมเพศทางเคร,อญาต [1676] อญาต,น [1676] น,าสนใจ [1676] าสนใจ,ร [1676] ร,ม [1676] ม,ยว [1676] ยว,า [1676] า,case [1676] case,hemophilia Top Word Pairs in Tweet in G2:
[14] lt,lt [11] 터짐,gt [11] gt,터진거 [10] 이번,고잉 [10] 키가,함 [10] 터진거,트위터에 [9] 수,없는 [9] 트위터에,써야함 [8] gt,gt [8] 함,기안 Top Word Pairs in Tweet in G3:
[30] gene,therapy [28] wfhemophilia,wfh [26] humanitarian,aid [26] aid,program [25] wfh,humanitarian [25] bleeding,disorders [16] program,distributed [16] study,confirms [15] retrospective,study [15] confirms,safety Top Word Pairs in Tweet in G4:
[166] midnight,sky [166] sky,jenlisa [166] jenlisa,wherein [166] wherein,alya [166] alya,girl [166] girl,hemophilia [166] hemophilia,unexpectedly [166] unexpectedly,meets [166] meets,stranger [166] stranger,anger Top Word Pairs in Tweet in G5:
[20] bleed,bleed [17] #hamzafoundation,#thalassemia [17] #thalassemia,#hemophilia [17] #hemophilia,#deadlydiseases [17] #deadlydiseases,#bloodcancer [17] #medicines,#health [17] #health,#healthservices [17] #healthservices,#humanityfirst [17] #humanityfirst,#humanity [17] #humanity,#peshawar Top Word Pairs in Tweet in G6:
[133] #helacells,allowed [133] allowed,development [133] development,hpv [133] hpv,polio [133] polio,vaccine [133] vaccine,drugs [133] drugs,hiv [133] hiv,aids [133] aids,haemophilia [133] haemophilia,leukaemia Top Word Pairs in Tweet in G7:
[24] boys,haemophilia [24] blood,products [23] treated,contaminated [23] contaminated,blood [17] 70s,80s [15] infected,blood [15] 80s,boys [15] haemophilia,treated [15] products,boarding [15] boarding,school Top Word Pairs in Tweet in G8:
[71] oct,12th [71] 12th,2012 [71] 2012,special [71] special,day [71] day,day [71] day,joined [71] joined,hands [71] hands,samanthaprabhu2 [71] samanthaprabhu2,supporting [71] supporting,children Top Word Pairs in Tweet in G9:
[65] think,system [65] system,isnt [65] isnt,handing [65] handing,indigenous [65] indigenous,children [65] children,white [65] white,families [65] families,harmed [65] harmed,three [64] comradecamgirl,think Top Word Pairs in Tweet in G10:
[23] clotting,cascade [20] stop,bleeding [18] cascade,adventure [11] #bleedingdisorders,community [9] bleeding,'s [9] 's,clotting [8] #vwd,#bleedingdisorders [8] community,stretched [8] stretched,beyond [7] #hemophilia,#bleedingdisorders Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G7:
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: