The graph represents a network of 16,737 Twitter users whose recent tweets were included in a list (Tweet ID List) of 33199 tweet IDs, or who were replied to or mentioned in those tweets. 31628 out of 33199 tweets were collected. The network was obtained from Twitter on Tuesday, 16 August 2022 at 15:59 UTC.
The tweets in the network were tweeted over the 2317-day, 0-hour, 47-minute period from Thursday, 25 February 2016 at 22:15 UTC to Thursday, 30 June 2022 at 23:03 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 : 16737
Unique Edges : 25540
Edges With Duplicates : 25319
Total Edges : 50859
Number of Edge Types : 5
Retweet : 17981
MentionsInRetweet : 13032
Mentions : 7891
Replies to : 1153
Tweet : 10802
Self-Loops : 10986
Reciprocated Vertex Pair Ratio : 0.0316606687962476
Reciprocated Edge Ratio : 0.0613780669436388
Connected Components : 4392
Single-Vertex Connected Components : 3534
Maximum Vertices in a Connected Component : 8305
Maximum Edges in a Connected Component : 39323
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.114894
Graph Density : 9.10855044484741E-05
Modularity : 0.472728
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 16,737 Twitter users whose recent tweets were included in a list (Tweet ID List) of 33199 tweet IDs, or who were replied to or mentioned in those tweets. 31628 out of 33199 tweets were collected. The network was obtained from Twitter on Tuesday, 16 August 2022 at 15:59 UTC.
The tweets in the network were tweeted over the 2317-day, 0-hour, 47-minute period from Thursday, 25 February 2016 at 22:15 UTC to Thursday, 30 June 2022 at 23:03 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 : TwitterIDList
Graph Term : Tweet ID List
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:
[2218] bleeding,disorders [1951] gene,therapy [1488] bleeding,related [1486] bad,news [1486] similar,hemophilia [1485] autoimmune,disorder [1485] months,taking [1484] leone,more [1484] more,bad [1484] news,autoimmune Top Word Pairs in Tweet in G1:
[362] hemophilia,day [349] world,hemophilia [318] bleeding,disorders [287] bleed,bleed [272] gene,therapy [177] world,haemophilia [176] haemophilia,day [143] hope,incurable [142] grief,amputation [142] amputation,hope Top Word Pairs in Tweet in G2:
[1136] bleeding,disorders [907] gene,therapy [431] learn,more [416] bleeding,disorder [272] world,haemophilia [255] haemophilia,day [255] latest,daily [255] daily,bleeder [255] bleeder,thanks [238] world,hemophilia Top Word Pairs in Tweet in G3:
[1476] leone,more [1476] more,bad [1476] bad,news [1476] news,autoimmune [1476] autoimmune,disorder [1476] disorder,creates [1476] creates,syndrome [1476] syndrome,similar [1476] similar,hemophilia [1476] hemophilia,pathologic Top Word Pairs in Tweet in G4:
[1061] midnight,sky [1061] sky,jenlisa [1061] jenlisa,wherein [1061] wherein,alya [1061] alya,girl [1061] girl,hemophilia [1061] hemophilia,unexpectedly [1061] unexpectedly,meets [1061] meets,stranger [1061] stranger,anger Top Word Pairs in Tweet in G5:
[1242] #hiv,#aids [1205] guru,siyag [1173] #aids,#cancer [1140] aids,cancer [770] jai,gurudev [756] #physical,#mental [756] #mental,#spiritual [756] #haemophilia,#hepatitis [718] #cancer,#haemophilia [715] siyag,siddhayoga Top Word Pairs in Tweet in G6:
[505] gene,therapy [296] #strategy,#competitiveintelligence [296] #competitiveintelligence,#marketing [243] hemophilia,gene [163] latest,immunology [163] immunology,daily [153] daily,thanks [85] resource,#pfecolleague [81] patients,worldwide [81] #hemophilia,#healthcare Top Word Pairs in Tweet in G7:
[140] blood,products [134] infected,blood [114] #contaminatedblood,#haemophilia [102] infected,hiv [98] medical,scandal [96] deadliest,medical [90] contaminated,blood [86] haemophilia,centre [86] bloodinquiry,haemosocuk_pi [85] people,haemophilia Top Word Pairs in Tweet in G8:
[200] ptt,pt [200] pt,mix [150] mix,correct [100] bleeding,pearls [100] pearls,heme [100] heme,cancer [100] cancer,ptt [100] fx,amyloid [100] amyloid,vfw [100] vfw,vwfrco Top Word Pairs in Tweet in G9:
[68] #worldblooddonorday,blood [68] blood,needed [68] needed,regularly [68] regularly,patients [68] patients,thalassemia [68] thalassemia,haemophilia [68] haemophilia,during [68] during,treatment [68] treatment,accidental [68] accidental,major Top Word Pairs in Tweet in G10:
[332] standard,care [187] people,living [187] living,haemophilia [166] picture,change [166] change,right [166] right,standard [166] care,#worldhaemophiliaday [166] #worldhaemophiliaday,come [166] come,together [166] together,make 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 G6:
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 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: