The graph represents a network of 3,492 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, 16 November 2021 at 17:41 UTC.
The requested start date was Tuesday, 16 November 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, 27-minute period from Tuesday, 02 November 2021 at 01:31 UTC to Tuesday, 16 November 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 : 3492
Unique Edges : 2330
Edges With Duplicates : 7899
Total Edges : 10229
Number of Edge Types : 5
Retweet : 3149
MentionsInRetweet : 3747
Tweet : 2021
Mentions : 996
Replies to : 316
Self-Loops : 2040
Reciprocated Vertex Pair Ratio : 0.0219808637186449
Reciprocated Edge Ratio : 0.0430161943319838
Connected Components : 440
Single-Vertex Connected Components : 206
Maximum Vertices in a Connected Component : 1237
Maximum Edges in a Connected Component : 4061
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.981083
Graph Density : 0.000324184952108892
Modularity : 0.400827
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,492 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, 16 November 2021 at 17:41 UTC.
The requested start date was Tuesday, 16 November 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, 27-minute period from Tuesday, 02 November 2021 at 01:31 UTC to Tuesday, 16 November 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:
[1332] ì,ì [956] ì,ë [926] ë,ì [710] ë,ë [469] ê,ì [430] ë,ê [387] ê,ë [320] ì,ê [296] ì,œ [267] ì,í Top Word Pairs in Tweet in G1:
[1332] ì,ì [956] ì,ë [926] ë,ì [710] ë,ë [469] ê,ì [430] ë,ê [387] ê,ë [320] ì,ê [296] ì,œ [267] ì,í Top Word Pairs in Tweet in G2:
[104] hour,record [56] 54,555km [54] break,hour [48] alex,dowsett [45] record,attempt [40] alexdowsett,put [40] put,neck [40] neck,line [40] line,damn [40] damn,scary Top Word Pairs in Tweet in G3:
[134] gene,therapy [30] voluntarily,paused [29] bleeding,disorders [26] therapy,#hemophilia [26] sgmo,pfe [25] hub,spoke [21] spoke,model [21] hemophilia,drug [19] therapy,trial [18] hemophilia,gene Top Word Pairs in Tweet in G4:
[223] midnight,sky [223] sky,jenlisa [223] jenlisa,wherein [223] wherein,alya [223] alya,girl [223] girl,hemophilia [223] hemophilia,unexpectedly [223] unexpectedly,meets [223] meets,stranger [223] stranger,anger Top Word Pairs in Tweet in G5:
[22] bleed,bleed [22] hamza,foundation [22] #hamzafoundation,#thalassemia [21] #thalassemia,#hemophilia [20] #hemophilia,#dengue [18] #dengue,#deadlydiseases [16] #deadlydiseases,#bloodcancer [14] #bloodcancer,#medicines [14] #medicines,#health [13] foundation,welfare Top Word Pairs in Tweet in G6:
[189] arrested,repeatedly [189] repeatedly,80s [189] 80s,#aids [189] #aids,activist [189] activist,protested [189] protested,front [189] front,reagan's [189] reagan's,white [189] white,house [189] house,friends Top Word Pairs in Tweet in G7:
[82] loosemonke,eigenrobot [82] eigenrobot,hold [82] hold,neck [82] neck,completely [82] completely,ordinary [82] ordinary,pin [82] pin,pierces [82] pierces,skin [82] skin,hemophilia [82] hemophilia,kill Top Word Pairs in Tweet in G8:
[2] nhf_hemophilia,nkf [2] grateful,efforts [2] efforts,congress [2] congress,help [2] help,vulnerable [2] vulnerable,patients [2] patients,introduction [2] introduction,help [2] help,copays [2] copays,act Top Word Pairs in Tweet in G9:
[24] bloodinquiry,#haemophilia [24] #contaminatedblood,bloodinquiry [12] air,eòrpa [12] eòrpa,nochd [12] nochd,tha [12] tha,siusaidh [12] siusaidh,nicdhonnchaidh [12] nicdhonnchaidh,a' [12] a',bruidhinn [12] bruidhinn,airson Top Word Pairs in Tweet in G10:
[46] meds,cost [41] hemophilia,expensive [41] expensive,illness [41] illness,manage [41] manage,treat [41] treat,husbands [41] husbands,meds [41] cost,38k [41] 38k,dose [40] lunaluvgood2020,hemophilia Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: