The graph represents a network of 3,063 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, 10 May 2022 at 18:03 UTC.
The requested start date was Tuesday, 10 May 2022 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, 10-minute period from Tuesday, 26 April 2022 at 00:43 UTC to Monday, 09 May 2022 at 23:54 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 : 3063
Unique Edges : 2173
Edges With Duplicates : 7158
Total Edges : 9331
Number of Edge Types : 5
Mentions : 876
Replies to : 375
Tweet : 2105
MentionsInRetweet : 3183
Retweet : 2792
Self-Loops : 2126
Reciprocated Vertex Pair Ratio : 0.0257204834211342
Reciprocated Edge Ratio : 0.0501510574018127
Connected Components : 488
Single-Vertex Connected Components : 226
Maximum Vertices in a Connected Component : 877
Maximum Edges in a Connected Component : 4021
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.851714
Graph Density : 0.000352919626233593
Modularity : 0.381075
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,063 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, 10 May 2022 at 18:03 UTC.
The requested start date was Tuesday, 10 May 2022 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, 10-minute period from Tuesday, 26 April 2022 at 00:43 UTC to Monday, 09 May 2022 at 23:54 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:
[3581] ì,ì [2921] ì,ë [2880] ë,ì [2241] ë,ë [1367] ê,ì [1255] ë,ê [1244] ê,ë [1147] ì,ê [930] ì,œ [861] ì,í Top Word Pairs in Tweet in G1:
[3581] ì,ì [2921] ì,ë [2880] ë,ì [2241] ë,ë [1367] ê,ì [1255] ë,ê [1244] ê,ë [1147] ì,ê [930] ì,œ [861] ì,í Top Word Pairs in Tweet in G2:
[67] gene,therapy [41] bleeding,disorders [34] humanitarian,aid [27] aid,program [25] bleeding,disorder [24] #wfhcongress2022,#wfh2022 [23] #hemophilia,gene [21] comprehensive,italian [21] italian,guideline [21] guideline,diagnosis Top Word Pairs in Tweet in G3:
[96] bleed,bleed [48] amputation,hope [48] hope,incurable [47] grief,amputation [41] incurable,hemophilia [41] hemophilia,bleed [30] ãƒ,ム[22] people,hemophilia [20] æ,æ [18] gene,therapy Top Word Pairs in Tweet in G4:
[33] blood,clot [32] looking,talents [32] talents,interested [32] interested,exploring [32] exploring,interaction [32] interaction,between [32] between,lipids [32] lipids,blood [32] clot,lysis [30] drzezheng,looking Top Word Pairs in Tweet in G5:
[86] privileged,part [86] part,world [86] world,haemophilia [86] haemophilia,day [86] day,wishes [86] wishes,mumbai [86] mumbai,chapter [86] chapter,haemophilia [86] haemophilia,society [85] swankhede_irs,privileged Top Word Pairs in Tweet in G6:
[101] midnight,sky [101] sky,jenlisa [101] jenlisa,wherein [101] wherein,alya [101] alya,girl [101] girl,hemophilia [101] hemophilia,unexpectedly [101] unexpectedly,meets [101] meets,stranger [101] stranger,anger Top Word Pairs in Tweet in G7:
[17] bleeding,disorders [13] world,haemophilia [13] haemophilia,day [13] day,day [13] day,fight [13] fight,against [13] against,problems [13] problems,caused [13] caused,various [13] various,bleeding Top Word Pairs in Tweet in G8:
[188] guru,siyag [188] siyag,siddha [188] siddha,yoga [188] yoga,heals [188] heals,body [188] body,types [188] types,physical [188] physical,illness [188] illness,such [188] such,aids Top Word Pairs in Tweet in G9:
[46] acquired,haemophilia [44] adversereports,case [41] case,acquired [41] haemophilia,southeast [41] southeast,asia [41] asia,following [41] following,#pfizer [41] #pfizer,shot [41] shot,man [41] man,80s Top Word Pairs in Tweet in G10:
[13] deadliest,medical [13] medical,scandal [6] scandal,#hiv [6] #hiv,#hepc [6] #hepc,#contaminatedblood [6] #australia,deadliest [6] #australia,biggest [6] biggest,business [6] business,#blood [6] #blood,never Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G7:
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: