The graph represents a network of 3,077 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, 14 December 2021 at 18:58 UTC.
The requested start date was Tuesday, 14 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, 52-minute period from Tuesday, 30 November 2021 at 01:06 UTC to Tuesday, 14 December 2021 at 00:58 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 : 3077
Unique Edges : 2176
Edges With Duplicates : 6406
Total Edges : 8582
Number of Edge Types : 5
Tweet : 1991
Mentions : 805
Retweet : 2557
MentionsInRetweet : 2994
Replies to : 235
Self-Loops : 2006
Reciprocated Vertex Pair Ratio : 0.0214592274678112
Reciprocated Edge Ratio : 0.0420168067226891
Connected Components : 487
Single-Vertex Connected Components : 256
Maximum Vertices in a Connected Component : 791
Maximum Edges in a Connected Component : 3489
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 3.466218
Graph Density : 0.000352039313451494
Modularity : 0.417049
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,077 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, 14 December 2021 at 18:58 UTC.
The requested start date was Tuesday, 14 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, 52-minute period from Tuesday, 30 November 2021 at 01:06 UTC to Tuesday, 14 December 2021 at 00:58 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:
[2036] ì,ì [1688] ë,ì [1596] ì,ë [1306] ë,ë [805] ê,ì [718] ë,ê [681] ì,ê [668] ê,ë [517] ì,œ [476] ì,í Top Word Pairs in Tweet in G1:
[2015] ì,ì [1662] ë,ì [1581] ì,ë [1295] ë,ë [800] ê,ì [713] ë,ê [671] ì,ê [665] ê,ë [516] ì,œ [461] ì,í Top Word Pairs in Tweet in G2:
[31] bleeding,disorders [31] gene,therapy [24] #ash21,plenary [19] plenary,session [18] disorders,women [17] atlas,inh [16] guy,young [16] siyag's,siddha [16] siddha,yoga [14] profmakris,#ash21 Top Word Pairs in Tweet in G3:
[269] midnight,sky [269] sky,jenlisa [269] jenlisa,wherein [269] wherein,alya [269] alya,girl [269] girl,hemophilia [269] hemophilia,unexpectedly [269] unexpectedly,meets [269] meets,stranger [269] stranger,anger Top Word Pairs in Tweet in G4:
[71] gene,therapy [40] bleed,bleed [28] hemophilia,gene [23] data,phase [23] ë,ì [22] therapy,hemophilia [21] hope,incurable [21] safety,efficacy [20] grief,amputation [20] amputation,hope Top Word Pairs in Tweet in G5:
[41] remember,243 [41] 243,men [41] men,teenagers [41] teenagers,boys [41] boys,infected [27] #worldaidsday,remember [22] infected,#aids [20] #worldaidsday2021,remember [19] infected,aids [19] aids,1980s 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:
[37] single,#genetherapy [37] #genetherapy,infusion [36] infusion,provide [36] provide,lasting [36] lasting,expression [36] expression,#clotting [36] #clotting,factor [36] missing,people [35] nihdirector,single [35] factor,missing Top Word Pairs in Tweet in G8:
[30] siyag's,siddha [30] siddha,yoga [25] gurudev,siyag's [14] gssy,absolutely [13] hemophilia,cured [13] cured,gurudev [12] yoga,cured [12] cured,many [12] many,cases [12] cases,hemophilia Top Word Pairs in Tweet in G10:
[12] क,न [12] न,र [7] म,फ [7] क,टर [7] न,क [7] य,क [7] #hemophilia,causes [7] causes,types [7] types,symptoms [7] symptoms,treatment Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: