The graph represents a network of 2,565 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 March 2021 at 15:39 UTC.
The requested start date was Tuesday, 23 March 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, 14-minute period from Tuesday, 09 March 2021 at 00:08 UTC to Monday, 22 March 2021 at 23:22 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 : 2565
Unique Edges : 1974
Edges With Duplicates : 4236
Total Edges : 6210
Number of Edge Types : 5
Mentions : 1332
Replies to : 549
MentionsInRetweet : 1880
Retweet : 1414
Tweet : 1035
Self-Loops : 1050
Reciprocated Vertex Pair Ratio : 0.0426590828297192
Reciprocated Edge Ratio : 0.0818274803954995
Connected Components : 597
Single-Vertex Connected Components : 265
Maximum Vertices in a Connected Component : 749
Maximum Edges in a Connected Component : 3271
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.700843
Graph Density : 0.000445971055216478
Modularity : 0.4674
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 2,565 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 March 2021 at 15:39 UTC.
The requested start date was Tuesday, 23 March 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, 14-minute period from Tuesday, 09 March 2021 at 00:08 UTC to Monday, 22 March 2021 at 23:22 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:
[141] gene,therapy [135] bleeding,disorders [103] hemophilia,simply [103] simply,hire [103] hire,jack [103] jack,dorsey [103] dorsey,pray [103] pray,sparking [103] sparking,national [103] national,controversy Top Word Pairs in Tweet in G1:
[38] epidemiology,report [38] report,covers [38] covers,descriptive [38] descriptive,overview [38] overview,hemophilia [38] hemophilia,explaining [38] explaining,facts [38] facts,symptoms [22] bleeding,disorders [18] willebrand,disease Top Word Pairs in Tweet in G2:
[83] gene,therapy [33] bleeding,disorders [32] therapy,#hemophilia [29] flora,peyvandi [22] slide,flora [22] peyvandi,showing [22] showing,current [22] current,future [22] future,treatments [22] treatments,#hemophilia Top Word Pairs in Tweet in G3:
[30] infected,blood [30] bloodinquiry,#haemophilia [24] neil,bateman [23] contaminated,blood [21] blood,inquiry [20] blood,scandal [20] haemophilia,centre [19] #contaminatedblood,bloodinquiry [18] macfarlane,trust [18] #contaminatedblood,#haemophilia Top Word Pairs in Tweet in G4:
[33] bleeding,disorders [28] charitymiles,nhf_hemophilia [17] bleeding,disorder [15] learn,more [12] #hemophilia,#onecountryonetreatment [12] hemophilia,management [12] fwgbd,htrstoday [12] htrstoday,nhf_hemophilia [11] upcoming,hemophilia [11] management,summit Top Word Pairs in Tweet in G5:
[103] hemophilia,simply [103] simply,hire [103] hire,jack [103] jack,dorsey [103] dorsey,pray [103] pray,sparking [103] sparking,national [103] national,controversy [102] missjellinsky,hemophilia Top Word Pairs in Tweet in G6:
[12] 하,너도 [12] 좋았을,텐데 [11] 텐데,하 [8] 제발,스루하지마 [7] 스루하지마,제발 [4] 들었을,때 [4] 21,03 [3] 나,guocheng's [3] guocheng's,girlfriend [3] 앨범,양도 Top Word Pairs in Tweet in G7:
[4] andrés,mientas [4] guillermo,lasso [4] andrés,arauz [4] #debatepresidencialec,arauz [4] andrés,estoy [4] estoy,vacunado [4] vacunado,#andresnomientasotravez [4] #andresnomientasotravez,#debatepresidencialec [3] #debatepresidencialec,#conlassoganamostodos [3] gobierno,correa Top Word Pairs in Tweet in G9:
[2] chholte,ronpyke [2] ronpyke,pinewoodsdojo [2] pinewoodsdojo,avg8 [2] avg8,john_godish [2] john_godish,seeallevil [2] seeallevil,teetera5 [2] teetera5,beantowndougish [2] beantowndougish,beleafer1 [2] beleafer1,hewittnewton Top Word Pairs in Tweet in G10:
[9] bleeding,disorders [8] learn,more [5] disorders,awareness [5] systematic,review [4] awareness,month [4] gene,therapy [4] happy,share [4] share,systematic [4] review,hemophilia [4] hemophilia,pregnancy Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: