The graph represents a network of 3,285 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 Friday, 20 August 2021 at 16:46 UTC.
The requested start date was Tuesday, 17 August 2021 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, 33-minute period from Tuesday, 03 August 2021 at 00:15 UTC to Monday, 16 August 2021 at 23:49 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 : 3285
Unique Edges : 1080
Edges With Duplicates : 6566
Total Edges : 7646
Number of Edge Types : 5
Retweet : 2986
MentionsInRetweet : 3139
Mentions : 565
Tweet : 741
Replies to : 215
Self-Loops : 753
Reciprocated Vertex Pair Ratio : 0.00790861159929701
Reciprocated Edge Ratio : 0.015693112467306
Connected Components : 389
Single-Vertex Connected Components : 193
Maximum Vertices in a Connected Component : 1423
Maximum Edges in a Connected Component : 3951
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.462401
Graph Density : 0.00031896729125301
Modularity : 0.433435
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,285 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 Friday, 20 August 2021 at 16:46 UTC.
The requested start date was Tuesday, 17 August 2021 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, 33-minute period from Tuesday, 03 August 2021 at 00:15 UTC to Monday, 16 August 2021 at 23:49 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:
[1716] ë,ë [1124] ë,ˆ [950] script,reading [922] time,memory [904] infinite,sungyeol [742] 210803,infinite [742] sungyeol,time [742] jung,woo [742] woo,jin [661] ì,œê Top Word Pairs in Tweet in G1:
[735] time,memory [591] infinite,sungyeol [590] 210803,infinite [590] sungyeol,time [590] jung,woo [590] woo,jin [465] script,reading [418] pic,210803 [418] memory,script [418] sungyeol,playing Top Word Pairs in Tweet in G2:
[789] ë,ë [766] ë,ˆ [383] ë,ˆì [383] ˆì,ê [333] œê,ì [333] ì,µì [333] µì,ì [333] ì,œê [212] co,gwix8048wo [201] ì,ë Top Word Pairs in Tweet in G3:
[325] midnight,sky [325] wherein,alya [325] alya,girl [325] girl,hemophilia [325] hemophilia,unexpectedly [325] unexpectedly,meets [325] meets,stranger [325] stranger,anger [325] anger,issues [321] sky,jenlisa Top Word Pairs in Tweet in G4:
[753] ë,ë [443] ì,ì [329] œë,ë [272] ì,µì [272] µì,ì [272] ì,œê [272] í,ë [272] ê,µê [270] ì,œë [270] ë,ˆ Top Word Pairs in Tweet in G5:
[35] ø,ù [33] ø,ø [26] ù,ø [16] bleed,bleed [12] ù,ù [11] gene,therapy [8] read,more [8] severe,hemophilia [8] hemophilia,patients [8] grief,amputation Top Word Pairs in Tweet in G6:
[52] bleeding,disorders [22] infected,blood [18] humanitarian,aid [18] aid,program [17] blood,inquiry [15] women,bleeding [15] disorders,working [15] working,group [15] published,10 [15] latest,edition Top Word Pairs in Tweet in G7:
[219] script,reading [187] update,official [187] official,photos [187] photos,script [187] reading,session [187] session,upcoming [187] upcoming,cinerama [187] cinerama,'time [187] 'time,memory' [187] memory',set Top Word Pairs in Tweet in G8:
[16] ì,ì [16] ì,ë [14] ê,ì [12] ë,ê [11] ì,ê [10] ë,ë [10] ìž,ë [10] 입술,색 [10] 색,되게 [10] 되게,예쁜 Top Word Pairs in Tweet in G9:
[12] jorge,yunda [8] municipioquito,lorohomero [6] 10,agosto [6] contra,jorge [6] movilización,contra [5] funda,meados [5] corte,constitucional [4] gargajo,cara [4] luisa,valverde [4] camino,#10a Top Word Pairs in Tweet in G10:
[42] aids,cancer [34] siddha,yoga [24] guru,siyag [24] please,help [24] help,making [24] making,everyone [24] everyone,aware [24] aware,gssy [24] gssy,method [24] method,spiritual Top Replied-To in Entire Graph:
Top Replied-To in G3:
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: