The graph represents a network of 1,704 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, 13 July 2021 at 15:37 UTC.
The requested start date was Tuesday, 13 July 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, 23-hour, 7-minute period from Tuesday, 29 June 2021 at 00:28 UTC to Monday, 12 July 2021 at 23:35 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 : 1704
Unique Edges : 1033
Edges With Duplicates : 2319
Total Edges : 3352
Number of Edge Types : 5
Mentions : 592
Tweet : 694
Retweet : 875
MentionsInRetweet : 1000
Replies to : 191
Self-Loops : 711
Reciprocated Vertex Pair Ratio : 0.0316831683168317
Reciprocated Edge Ratio : 0.0614203454894434
Connected Components : 418
Single-Vertex Connected Components : 222
Maximum Vertices in a Connected Component : 442
Maximum Edges in a Connected Component : 1351
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.7764
Graph Density : 0.000538610405828984
Modularity : 0.488712
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,704 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, 13 July 2021 at 15:37 UTC.
The requested start date was Tuesday, 13 July 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, 23-hour, 7-minute period from Tuesday, 29 June 2021 at 00:28 UTC to Monday, 12 July 2021 at 23:35 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:
[179] ø,ø [133] ø,ù [124] ù,ø [106] gene,therapy [91] hemophilia,carrier [90] fuck,queen [90] queen,victoria [90] victoria,hemophilia [90] carrier,ass [90] ass,bitch Top Word Pairs in Tweet in G1:
[34] ø,ø [31] clinical,hold [28] ø,ù [27] ù,ø [25] sig,001 [24] gene,therapy [24] ù,ù [21] sigilon,therapeutics [20] ì,ì [19] phase,study Top Word Pairs in Tweet in G2:
[23] bleeding,disorders [18] learn,more [17] women,girls [15] girls,#bleedingdisorders [13] gene,therapy [13] summer,appeal [12] shared,decision [12] decision,making [11] bleeding,disorder [10] spring,newsletter Top Word Pairs in Tweet in G3:
[90] fuck,queen [90] queen,victoria [90] victoria,hemophilia [90] hemophilia,carrier [90] carrier,ass [90] ass,bitch [89] csydelko,fuck Top Word Pairs in Tweet in G4:
[26] gene,therapy [17] 2021,impact [17] impact,factors [17] factors,today [17] today,nejm [17] nejm,91 [17] 91,lancet [17] lancet,79 [17] 79,blood [17] blood,22 Top Word Pairs in Tweet in G5:
[13] blood,products [12] infectedbloodau,#australia [11] #australia,first [11] first,100 [11] 100,billion [11] billion,dollar [11] dollar,company [11] company,#vaccine [11] #vaccine,blood [11] products,giant Top Word Pairs in Tweet in G6:
[33] gene,therapy [16] spark,roche [16] roche,update [16] update,spk [16] spk,8011 [16] 8011,looks [16] looks,bad [16] bad,#hemophilia [16] #hemophilia,two [16] two,participants Top Word Pairs in Tweet in G7:
[78] need,#blood [78] #blood,type [78] blood,component [78] component,blood [78] blood,number [78] number,units [78] primary,number [41] group,blood [40] #sos,#jodhpur [40] #jodhpur,need Top Word Pairs in Tweet in G10:
[6] jorge,yunda [4] pablo,celi [4] san,antonio [4] antonio,baños [4] pueblo,cuba [3] acción,protección [2] alondra,haciendo [2] haciendo,ridículo [2] ridículo,twitter [2] concejalesrc_,jcfialloc Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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