The graph represents a network of 2,076 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, 04 August 2020 at 16:41 UTC.
The requested start date was Tuesday, 04 August 2020 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, 4-minute period from Tuesday, 21 July 2020 at 00:23 UTC to Monday, 03 August 2020 at 23:28 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 : 2076
Unique Edges : 1495
Edges With Duplicates : 3307
Total Edges : 4802
Number of Edge Types : 5
Retweet : 1205
MentionsInRetweet : 1710
Replies to : 290
Mentions : 785
Tweet : 812
Self-Loops : 826
Reciprocated Vertex Pair Ratio : 0.0336134453781513
Reciprocated Edge Ratio : 0.0650406504065041
Connected Components : 488
Single-Vertex Connected Components : 239
Maximum Vertices in a Connected Component : 528
Maximum Edges in a Connected Component : 2220
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.215432
Graph Density : 0.000542516888362699
Modularity : 0.481309
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,076 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, 04 August 2020 at 16:41 UTC.
The requested start date was Tuesday, 04 August 2020 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, 4-minute period from Tuesday, 21 July 2020 at 00:23 UTC to Monday, 03 August 2020 at 23:28 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:
[168] gene,therapy [114] liannelewis1,deniseshrivell [114] life,threatening [113] deniseshrivell,yes [113] yes,best [113] best,news [113] news,ethan [113] ethan,hundreds [113] hundreds,hospital [113] hospital,stays Top Word Pairs in Tweet in G1:
[35] gene,therapy [17] therapy,shows [16] expensive,drug [16] hemophilia,causes [16] causes,symptoms [16] symptoms,diagnosis [15] shows,promise [14] promise,hemophilia [13] hemophilia,expensive [11] hemophilia,market Top Word Pairs in Tweet in G2:
[95] gene,therapy [50] bleeding,disorders [26] covid,19 [26] therapy,hemophilia [21] learn,more [20] virtual,bleeding [19] bleeding,disorder [17] disorders,conference [16] address,concerns [16] boom,sgmo Top Word Pairs in Tweet in G3:
[34] contaminated,blood [31] blood,scandal [20] comprehensive,care [20] #contaminatedblood,#haemophilia [19] haemophilia,centre [18] care,centre [17] #haemophilia,comprehensive [17] #haemophilia,#infectedbloodinquiry [14] learn,more [13] resume,september Top Word Pairs in Tweet in G4:
[114] liannelewis1,deniseshrivell [113] deniseshrivell,yes [113] yes,best [113] best,news [113] news,ethan [113] ethan,hundreds [113] hundreds,hospital [113] hospital,stays [113] stays,life [113] life,threatening Top Word Pairs in Tweet in G5:
[81] shakti,prasad [81] prasad,mohapatra [79] appreciate,#covidwarrior [79] #covidwarrior,shakti [79] mohapatra,assistant [79] assistant,programme [79] programme,manager [79] manager,nuhm [79] nuhm,rourkelamc [79] rourkelamc,dedication Top Word Pairs in Tweet in G6:
[73] documentary,five [73] five,people [73] people,#bleedingdisorders [73] #bleedingdisorders,share [73] share,mental [73] mental,health [73] health,journeys [73] journeys,order [73] order,decrease [73] decrease,stigma Top Word Pairs in Tweet in G7:
[72] midnight,sky [72] sky,jenlisa [72] jenlisa,wherein [72] wherein,alya [72] alya,girl [72] girl,hemophilia [72] hemophilia,unexpectedly [72] unexpectedly,meets [72] meets,stranger [72] stranger,anger Top Word Pairs in Tweet in G9:
[4] anthemrespect,warroompandemic [4] warroompandemic,realdonaldtrump [4] realdonaldtrump,malaria [4] malaria,covid [4] covid,19 [4] 19,two [4] two,entirely [4] entirely,different [4] different,diseases [3] johnsongreg,anthemrespect Top Word Pairs in Tweet in G10:
[27] findkobe,thismorning [27] thismorning,please [27] please,thismorning [27] thismorning,help [27] help,find [27] find,stolen [27] stolen,kobe [27] kobe,needs [27] needs,blood [27] blood,transfusions Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G8:
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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:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: