The graph represents a network of 4,557 Twitter users whose recent tweets contained "#polio", 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 04:05 UTC.
The tweets in the network were tweeted over the 3553-day, 21-hour, 41-minute period from Wednesday, 24 April 2013 at 01:25 UTC to Sunday, 15 January 2023 at 23:06 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 : 4557
Unique Edges : 2019
Edges With Duplicates : 9092
Total Edges : 11111
Number of Edge Types : 9
Retweet : 3866
MentionsInRetweet : 4818
Mentions : 671
Replies to : 313
MentionsInReplyTo : 469
Tweet : 780
Quote : 108
MentionsInQuote : 68
MentionsInQuoteReply : 18
Self-Loops : 1073
Reciprocated Vertex Pair Ratio : 0.00954927425515661
Reciprocated Edge Ratio : 0.0189178963299281
Connected Components : 518
Single-Vertex Connected Components : 257
Maximum Vertices in a Connected Component : 2501
Maximum Edges in a Connected Component : 6627
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.20025
Graph Density : 0.000254603526533387
Modularity : 0.45889
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,557 Twitter users whose recent tweets contained "#polio", 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 04:05 UTC.
The tweets in the network were tweeted over the 3553-day, 21-hour, 41-minute period from Wednesday, 24 April 2013 at 01:25 UTC to Sunday, 15 January 2023 at 23:06 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 : #polio
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:
[981] receive,#polio [980] #children,receive [975] teddy,bear [975] #endpolio,teddy [975] amar,#endpolio [973] better,world [973] world,#children [973] bear,better [971] #polio,vaccin [968] poliofreeafghan,amar Top Word Pairs in Tweet in G1:
[963] receive,#polio [963] #children,receive [959] better,world [959] amar,#endpolio [959] #endpolio,teddy [959] world,#children [959] teddy,bear [959] bear,better [958] #polio,vaccin [958] poliofreeafghan,amar Top Word Pairs in Tweet in G2:
[134] bilawal,house [134] house,monday [134] germany,pakistan [134] pakistan,alfred [134] bibi,aseefabz [134] monday,both [134] granas,called [134] called,bibi [134] ambassador,germany [134] alfred,granas Top Word Pairs in Tweet in G3:
[359] already,children [359] during,#pakistanfloods [359] lost,much [359] imperative,safeguard [359] #pakistanfloods,imperative [359] much,during [359] children,lost [358] abdullahafadil,already [358] safeguard,deadl [12] polio,free Top Word Pairs in Tweet in G4:
[161] wastewater,samples [160] genetically,related [160] detects,poliovirus [160] canada,detects [160] canadian,samples [160] cdc,testing [160] samples,see [160] poliovirus,wastewater [160] samples,cdc [160] see,genetically Top Word Pairs in Tweet in G5:
[15] against,#polio [12] #children,against [12] million,#children [11] #polio,#africa [10] #mozambique,#vaccinates [10] #vaccinates,million [10] #vac,#healthcare [10] polio,vaccination [10] #polio,#health [10] #africa,#health Top Word Pairs in Tweet in G6:
[20] forum,immunization [19] never,paralyzes [19] waci,health [19] another,child [19] public,health [19] #polio,never [19] paralyzes,another [19] child,path [19] path,waci [19] ensure,#polio Top Word Pairs in Tweet in G7:
[85] kidney,cell [85] mice,30s [85] reinettesenum,1st [85] manufacturing,polio [85] lines,used [85] thank,reinettesenum [85] used,manufacturing [85] cell,lines [85] 30s,monkey [85] 1st,mice Top Word Pairs in Tweet in G8:
[61] #polio,#covid19 [32] latest,astang [32] astang,ayurveda [30] ayurveda,thanks [29] último,asociación [29] asociación,polio [29] polio,litaff [27] litaff,gracias [5] ny,wastewater [4] #polio,virus Top Word Pairs in Tweet in G9:
[12] criminal,polio [12] vs,virology [12] institute,criminal [12] toxicology,vs [10] polio,fraud [9] #polio,#vaccine [8] virology,rockefeller [8] rockefeller,institute [6] #aids,#nih [6] fraud,video Top Word Pairs in Tweet in G10:
[20] being,part [20] part,#lambethtogether [17] lambethtogether,being [13] #lambethtogether,2022 [13] 2022,helped [10] keep,child [10] child,safe [10] #polio,booster [10] #polio,boosters [9] helped,gplambeth Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G9:
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: