The graph represents a network of 3,400 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, 07 December 2021 at 18:58 UTC.
The requested start date was Tuesday, 07 December 2021 at 01:01 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, 44-minute period from Tuesday, 23 November 2021 at 01:07 UTC to Tuesday, 07 December 2021 at 00:51 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 : 3400
Unique Edges : 2217
Edges With Duplicates : 7170
Total Edges : 9387
Number of Edge Types : 5
Retweet : 2967
MentionsInRetweet : 3353
Mentions : 712
Replies to : 201
Tweet : 2154
Self-Loops : 2168
Reciprocated Vertex Pair Ratio : 0.0143266475644699
Reciprocated Edge Ratio : 0.0282485875706215
Connected Components : 452
Single-Vertex Connected Components : 230
Maximum Vertices in a Connected Component : 977
Maximum Edges in a Connected Component : 4409
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 2.482848
Graph Density : 0.000306318467369295
Modularity : 0.409925
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,400 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, 07 December 2021 at 18:58 UTC.
The requested start date was Tuesday, 07 December 2021 at 01:01 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, 44-minute period from Tuesday, 23 November 2021 at 01:07 UTC to Tuesday, 07 December 2021 at 00:51 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:
[452] midnight,sky [452] sky,jenlisa [452] jenlisa,wherein [452] wherein,alya [452] alya,girl [452] girl,hemophilia [452] hemophilia,unexpectedly [452] unexpectedly,meets [452] meets,stranger [452] stranger,anger Top Word Pairs in Tweet in G1:
[38] 보고,싶다 [32] 엋문,청려문대 [25] 문대,씨 [24] 보고,싶음 [22] ㅋ,ㅋ [21] 것,같음 [21] 둘,다 [20] 거,보고 [18] 거,같음 [13] 이런,거 Top Word Pairs in Tweet in G2:
[452] midnight,sky [452] sky,jenlisa [452] jenlisa,wherein [452] wherein,alya [452] alya,girl [452] girl,hemophilia [452] hemophilia,unexpectedly [452] unexpectedly,meets [452] meets,stranger [452] stranger,anger Top Word Pairs in Tweet in G3:
[62] bleeding,disorders [42] remember,243 [42] 243,men [42] men,teenagers [42] teenagers,boys [42] boys,infected [30] undiagnosed,bleeding [29] #worldaidsday,remember [27] heavy,periods [26] bleeding,disorder Top Word Pairs in Tweet in G4:
[33] gene,therapy [28] bleed,bleed [20] therapy,hemophilia [19] sigilon,therapeutics [17] sig,001 [17] phase,study [16] grants,usa [16] usa,canada [16] canada,international [16] international,medical Top Word Pairs in Tweet in G6:
[75] playing,something [75] something,bigger [75] bigger,myself [75] myself,macjones_10 [75] macjones_10,take [75] take,field [75] field,monday [75] monday,night [75] night,friend [74] patriots,playing Top Word Pairs in Tweet in G7:
[52] gene,therapy [37] factor,viii [36] single,#genetherapy [36] #genetherapy,infusion [35] infusion,provide [35] provide,lasting [35] lasting,expression [35] expression,#clotting [35] #clotting,factor [35] factor,missing Top Word Pairs in Tweet in G9:
[31] recent,headlines [31] headlines,focused [31] focused,treatments [31] treatments,vaccines [31] vaccines,covid [31] covid,19 [31] 19,giant [31] giant,strides [31] strides,made [28] haemophilia,affects Top Word Pairs in Tweet in G10:
[27] hemalocria,tears [27] tears,blood [27] blood,many [27] many,etiologies [27] etiologies,co [27] co,28urvatd0i [27] 28urvatd0i,trauma [27] trauma,severe [27] severe,conjunctivitis [27] conjunctivitis,vascular Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Mentioned in Entire Graph:
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Top Mentioned in G7:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: