The graph represents a network of 4,270 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, 21 June 2022 at 18:06 UTC.
The requested start date was Tuesday, 21 June 2022 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, 38-minute period from Tuesday, 07 June 2022 at 01:20 UTC to Monday, 20 June 2022 at 23:58 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 : 4270
Unique Edges : 3804
Edges With Duplicates : 10168
Total Edges : 13972
Number of Edge Types : 5
Retweet : 3625
MentionsInRetweet : 4941
Tweet : 2623
Mentions : 1992
Replies to : 791
Self-Loops : 2635
Reciprocated Vertex Pair Ratio : 0.0218797564687976
Reciprocated Edge Ratio : 0.0428225656302365
Connected Components : 441
Single-Vertex Connected Components : 203
Maximum Vertices in a Connected Component : 1321
Maximum Edges in a Connected Component : 5376
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 2.819613
Graph Density : 0.000294646388675397
Modularity : 0.406843
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,270 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, 21 June 2022 at 18:06 UTC.
The requested start date was Tuesday, 21 June 2022 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, 38-minute period from Tuesday, 07 June 2022 at 01:20 UTC to Monday, 20 June 2022 at 23:58 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:
[233] siddha,yoga [231] siyag,siddha [217] gurudev,siyag [204] #gurusiyagmahaprayan,gurudev [171] healing,change [165] yoga,gssy [163] change,tendencies [151] #freedom,#physical [151] #physical,#diseases [151] #diseases,#cancer Top Word Pairs in Tweet in G1:
[31] 수,있는 [24] 할,수 [20] 하기,싫어 [19] lt,lt [18] 나잇값,하기 [18] 회사에서는,절때 [18] 절때,쓰지마세요 [16] 싫어,나잇값 [16] 쓰지마세요,회사에서는 [14] 것,같아서 Top Word Pairs in Tweet in G2:
[31] golpe,estado [28] casa,cultura [13] leonidas,iza [11] centro,histórico [10] teranbryanfot,elcomerciocom [10] semarco,#reddetuiterosdemocraticos [9] conaie_ecuador,leonidasizasal1 [9] #paronacional2022,#izaterrorista [9] frceron,casadelacultura [9] hemophilia_ec,teranbryanfot Top Word Pairs in Tweet in G3:
[43] bleeding,disorders [32] infected,blood [26] haemophilia,community [24] gene,therapy [22] sir,robert [22] robert,francis [20] pact,program [19] learn,more [19] contaminated,blood [18] haemophilia,centre Top Word Pairs in Tweet in G4:
[40] bleed,bleed [20] gene,therapy [20] grief,amputation [20] amputation,hope [20] hope,incurable [17] incurable,hemophilia [17] hemophilia,bleed [14] therapy,hemophilia [14] charles,river [13] asc,therapeutics Top Word Pairs in Tweet in G5:
[226] siyag,siddha [226] siddha,yoga [212] gurudev,siyag [202] #gurusiyagmahaprayan,gurudev [167] healing,change [161] yoga,gssy [159] change,tendencies [151] #freedom,#physical [151] #physical,#diseases [151] #diseases,#cancer Top Word Pairs in Tweet in G6:
[119] bennyjohnson,elonmusk [119] emotional,hemophilia [118] tycardon,bennyjohnson [105] elonmusk,elon [105] elon,needs [105] needs,clean [105] clean,house [105] house,asap [105] asap,personnel [105] personnel,policy Top Word Pairs in Tweet in G7:
[99] midnight,sky [99] sky,jenlisa [99] jenlisa,wherein [99] wherein,alya [99] alya,girl [99] girl,hemophilia [99] hemophilia,unexpectedly [99] unexpectedly,meets [99] meets,stranger [99] stranger,anger Top Word Pairs in Tweet in G8:
[15] hemophilia,society [14] non,factor [13] therapies,hemophilia [13] bleeding,disorders [12] society,panaji [12] panaji,chapter [10] factor,therapies [10] global,patient [9] persons,hemophilia [9] caculo,mall Top Word Pairs in Tweet in G10:
[70] #worldblooddonorday,blood [70] blood,needed [70] needed,regularly [70] regularly,patients [70] patients,thalassemia [70] thalassemia,haemophilia [70] haemophilia,during [70] during,treatment [65] mohfw_india,#worldblooddonorday [65] treatment,acciden 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 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:
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Top Tweeters in G9:
Top Tweeters in G10: