The graph represents a network of 3,438 Twitter users whose tweets in the requested range contained "#polio", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 15 May 2019 at 11:54 UTC.
The requested start date was Monday, 13 May 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 28-minute period from Monday, 29 April 2019 at 00:02 UTC to Sunday, 12 May 2019 at 23:30 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 : 3438
Unique Edges : 3748
Edges With Duplicates : 2727
Total Edges : 6475
Number of Edge Types : 3
Tweet : 615
Mentions : 5739
Replies to : 121
Self-Loops : 615
Reciprocated Vertex Pair Ratio : 0.0116279069767442
Reciprocated Edge Ratio : 0.0229885057471264
Connected Components : 355
Single-Vertex Connected Components : 191
Maximum Vertices in a Connected Component : 2556
Maximum Edges in a Connected Component : 5411
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.912428
Graph Density : 0.000338681660058058
Modularity : 0.573235
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[782] 33,cases [604] #polio,cases [551] 2018,33 [540] recent,years [540] number,#polio [539] years,number [539] cases,dropped [539] dropped,significantly [539] significantly,thanks [539] 2013,over Top Word Pairs in Tweet in G1:
[505] 2018,33 [505] 33,cases [504] recent,years [504] years,number [504] number,#polio [504] #polio,cases [504] cases,dropped [504] dropped,significantly [504] significantly,thanks [504] 2013,over Top Word Pairs in Tweet in G2:
[105] #polio,oversight [105] oversight,board [85] board,meeting [71] #polio,vaccine [69] inactivated,#polio [47] vaccine,ipv [45] ipv,now [45] now,introduced [45] introduced,country [45] country,world Top Word Pairs in Tweet in G3:
[31] #polio,#vaccine [18] beckyjohnson222,krochetxkorner [18] krochetxkorner,dollarstadonuts [18] doritmi,dicky_paul_95 [17] veritasever,mcfunny [17] sohnhicc,emmagpaley [17] 45hammertime,nukem37 [17] t3tragrammat0n,kidoctr [17] kidoctr,teddyfreddy11 [17] teddyfreddy11,erikwilson1975 Top Word Pairs in Tweet in G4:
[233] 1988,saw [233] saw,350 [233] 350,000 [233] 000,children [233] children,paralyzed [233] paralyzed,polio [233] polio,last [233] last,year [233] year,saw [233] saw,33 Top Word Pairs in Tweet in G5:
[109] à,à [32] ø,ù [28] ù,ø [27] ø,ø [17] û,ù [17] ù,ù [16] ø,û [16] ú,ø [16] ù,û [12] û,ø Top Word Pairs in Tweet in G6:
[87] pm,imrankhanpti [86] #polio,case [86] case,reported [85] third,#polio [85] reported,week [85] week,urge [85] urge,pm [85] imrankhanpti,provide [85] provide,much [85] much,needed Top Word Pairs in Tweet in G7:
[63] paralyzed,people [62] golden,oldie [62] oldie,escape [62] escape,liability [62] liability,pesticide [62] pesticide,paralyzed [62] people,invented [62] invented,disease [62] disease,called [62] called,#polio Top Word Pairs in Tweet in G8:
[14] mark,tredwin [14] tredwin,helping [14] helping,raise [14] raise,profile [14] profile,endpolionow [14] endpolionow,campaign [14] campaign,speeding [14] speeding,round [14] round,race [14] race,tracks Top Word Pairs in Tweet in G9:
[28] million,children [28] children,under [26] matters,through [26] through,national [26] national,campaigns [26] campaigns,4 [26] 4,7 [26] 7,million [26] under,age [26] age,five Top Word Pairs in Tweet in G10:
[15] #polio,eradication [12] polio,vaccine [11] vaccines,eradicated [11] eradicated,#smallpox [11] #smallpox,reduced [11] reduced,child [11] child,mortality [11] mortality,rates [11] rates,saved [11] saved,millions Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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