The graph represents a network of 4,319 Twitter users whose recent tweets contained "hemophilia OR haemophilia OR bleedingdisorders OR hemochat ", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 19:05 UTC.
The tweets in the network were tweeted over the 2035-day, 11-hour, 9-minute period from Wednesday, 12 July 2017 at 13:30 UTC to Tuesday, 07 February 2023 at 00:40 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4319
Unique Edges : 2981
Edges With Duplicates : 9390
Total Edges : 12371
Number of Edge Types : 9
Replies to : 1191
MentionsInReplyTo : 2510
Retweet : 2437
MentionsInRetweet : 3187
Tweet : 1611
Quote : 146
Mentions : 1026
MentionsInQuote : 136
MentionsInQuoteReply : 127
Self-Loops : 2057
Reciprocated Vertex Pair Ratio : 0.0441379310344828
Reciprocated Edge Ratio : 0.0845442536327609
Connected Components : 911
Single-Vertex Connected Components : 401
Maximum Vertices in a Connected Component : 1628
Maximum Edges in a Connected Component : 6592
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.277859
Graph Density : 0.000284137187589849
Modularity : 0.425192
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,319 Twitter users whose recent tweets contained "hemophilia OR haemophilia OR bleedingdisorders OR hemochat ", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 19:05 UTC.
The tweets in the network were tweeted over the 2035-day, 11-hour, 9-minute period from Wednesday, 12 July 2017 at 13:30 UTC to Tuesday, 07 February 2023 at 00:40 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[345] gene,therapy [186] hemophilia,patients [142] #health,#nature [142] #virus,#love [142] #love,#healthcare [142] #healthcare,#247wowom [140] #247wowom,#nature [139] #nature,#virus [138] hemophilia,unexpectedly [138] anger,issues Top Word Pairs in Tweet in G1:
[103] gene,therapy [68] bleeding,disorders [46] learn,more [45] week's,nejm [45] efa,bivv001 [44] phase,study [39] factor,viii [37] emicizumab,hemlibra [37] bleeder,thanks [37] latest,daily Top Word Pairs in Tweet in G2:
[77] gene,therapy [62] bleed,bleed [41] severe,hemophilia [34] 27年来一步一步地走向世界第一药企的地位,#搜索引擎 [34] 是我们婊子立牌坊的噱头,生产带血的利润 [34] infection,china [34] 宪法和法律,27年来一步一步地走向世界第一药企的地位 [34] letter,victims [34] hemophilia,aids [34] victims,hemophilia Top Word Pairs in Tweet in G3:
[79] infected,blood [65] blood,inquiry [60] haemophilia,society [59] gollop,kc [54] core,participants [53] katie,gollop [49] contaminated,blood [38] individual,core [37] haemophilia,infected [35] died,day Top Word Pairs in Tweet in G4:
[77] gene,therapies [66] million,hemophilia [66] cost,million [66] us_fda,latest [66] approved,us_fda [66] latest,cost [66] therapies,approved [65] gene,therapy [65] eleven,gene [64] erictopol,eleven Top Word Pairs in Tweet in G5:
[136] sky,jenlisa [136] anger,issues [136] meets,stranger [136] midnight,sky [136] girl,hemophilia [136] wherein,alya [136] unexpectedly,meets [136] alya,girl [136] stranger,anger [136] hemophilia,unexpectedly Top Word Pairs in Tweet in G6:
[35] thalassemia,hemophilia [35] hemophilia,mission [31] compulsory,testing [31] mission,make [31] make,compulsory [28] pregnant,women [28] women,hplc [28] testing,pregnant [25] please,covers [25] covers,thalassemia Top Word Pairs in Tweet in G7:
[108] hemophilia,patients [107] dr,nalini [107] professor,jipmer [107] prof,dr [107] jipmer,prof [107] padmashree,wonderful [107] helping,hemophilia [107] work,helping [107] pediatrics,professor [107] nalini,padmashree Top Word Pairs in Tweet in G8:
[11] goeg_at,pn_london [11] younggasteiners,nobody_left_out [11] nobody_left_out,obshealth [11] ehc_haemophilia,affordablemedeu [11] ecdc_eu,wellbeingeu [11] gasteinforum,younggasteiners [11] affordablemedeu,ecdc_eu [11] eu_health,ehc_haemophilia [11] obshealth,goeg_at [11] pn_london,eu_health Top Word Pairs in Tweet in G9:
[55] brownhospmed,hemophilia [12] brownhospmed,haemophilia [10] hemophilia,rare [10] blood,clot [9] disorder,blood [9] rare,disorder [9] factor,viii [9] typical,way [9] clot,typical [8] hemophilia,factor Top Word Pairs in Tweet in G10:
[85] justin,fields [84] record,fewest [84] fewest,passing [84] set,record [84] 11,record [84] yds,led [84] fields,sophomore [84] review,11 [84] over,review [84] season,over Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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: