The graph represents a network of 4,480 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 04:04 UTC.
The tweets in the network were tweeted over the 3546-day, 23-hour, 21-minute period from Wednesday, 24 April 2013 at 01:25 UTC to Monday, 09 January 2023 at 00:46 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 : 4480
Unique Edges : 2039
Edges With Duplicates : 9066
Total Edges : 11105
Number of Edge Types : 9
Retweet : 3827
MentionsInRetweet : 4817
Mentions : 683
Replies to : 314
MentionsInReplyTo : 463
Quote : 105
Tweet : 816
MentionsInQuote : 65
MentionsInQuoteReply : 15
Self-Loops : 1114
Reciprocated Vertex Pair Ratio : 0.0106280193236715
Reciprocated Edge Ratio : 0.0210325047801147
Connected Components : 521
Single-Vertex Connected Components : 262
Maximum Vertices in a Connected Component : 2132
Maximum Edges in a Connected Component : 5836
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.357544
Graph Density : 0.00026064092750295
Modularity : 0.463451
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,480 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 04:04 UTC.
The tweets in the network were tweeted over the 3546-day, 23-hour, 21-minute period from Wednesday, 24 April 2013 at 01:25 UTC to Monday, 09 January 2023 at 00:46 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:
[639] receive,#polio [637] #children,receive [632] teddy,bear [632] better,world [632] world,#children [632] #endpolio,teddy [632] amar,#endpolio [632] bear,better [627] poliofreeafghan,amar [627] #polio,vaccin Top Word Pairs in Tweet in G1:
[623] #children,receive [623] receive,#polio [619] bear,better [619] world,#children [619] better,world [619] teddy,bear [619] #endpolio,teddy [619] amar,#endpolio [618] #polio,vaccin [618] poliofreeafghan,amar Top Word Pairs in Tweet in G2:
[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 G3:
[135] house,monday [135] aseefabz,bilawal [135] germany,pakistan [135] bilawal,house [135] alfred,granas [135] pakistan,alfred [135] bibi,aseefabz [135] granas,called [135] called,bibi [135] ambassador,germany Top Word Pairs in Tweet in G4:
[352] #polio,#rubeola [352] viejos,nuevos [352] #rubeola,#covid [352] ante,viejos [352] nuevos,enemigos [352] enemigos,protege [352] hijos,#sarampion [352] #sarampion,#polio [352] protege,tus [352] tus,hijos Top Word Pairs in Tweet in G5:
[32] #polio,eradication [29] health,emergencies [27] great,catch [27] viral,disease [26] against,#polio [25] against,#measles [25] eradication,africa [22] #covidisntover,#rsv [21] forum,immunization [20] #dontbeanidiot,#covidisntover Top Word Pairs in Tweet in G6:
[15] against,#polio [13] میں,پولیو [12] #children,against [12] read,more [12] million,#children [11] #polio,#africa [10] #mozambique,#vaccinates [10] #pakistan,#polio [10] #vaccinates,million [10] #vac,#healthcare Top Word Pairs in Tweet in G7:
[161] wastewater,samples [160] see,genetically [160] samples,see [160] poliovirus,wastewater [160] canada,detects [160] genetically,related [160] cdc,testing [160] samples,cdc [160] detects,poliovirus [160] testing,canadian Top Word Pairs in Tweet in G8:
[86] thank,reinettesenum [86] 1st,mice [86] cell,lines [86] 30s,monkey [86] reinettesenum,1st [86] kidney,cell [86] used,manufacturing [86] mice,30s [86] manufacturing,polio [86] monkey,kidney Top Word Pairs in Tweet in G9:
[57] #polio,#covid19 [30] latest,astang [30] astang,ayurveda [29] polio,litaff [29] ayurveda,thanks [29] último,asociación [29] asociación,polio [26] litaff,gracias [5] ny,wastewater [4] #polio,virus Top Word Pairs in Tweet in G10:
[20] part,#lambethtogether [20] being,part [17] lambethtogether,being [13] 2022,helped [13] #lambethtogether,2022 [12] #polio,booster [10] child,safe [10] keep,child [10] #polio,boosters [9] gplambeth,deliver Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
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: