The graph represents a network of 2,047 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 Tuesday, 13 August 2019 at 12:02 UTC.
The requested start date was Monday, 12 August 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, 41-minute period from Monday, 29 July 2019 at 00:11 UTC to Sunday, 11 August 2019 at 23:53 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 : 2047
Unique Edges : 2518
Edges With Duplicates : 622
Total Edges : 3140
Number of Edge Types : 3
Mentions : 2795
Tweet : 290
Replies to : 55
Self-Loops : 290
Reciprocated Vertex Pair Ratio : 0.0124198717948718
Reciprocated Edge Ratio : 0.0245350217649387
Connected Components : 185
Single-Vertex Connected Components : 102
Maximum Vertices in a Connected Component : 1369
Maximum Edges in a Connected Component : 2269
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.797244
Graph Density : 0.000603367300500792
Modularity : 0.721342
NodeXL Version : 1.0.1.418
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[565] enough,express [565] express,gratitude [565] gratitude,heroines [565] heroines,heroes [565] heroes,#pakistan [565] #pakistan,obstacle [564] drtedros,enough [564] obstacle,#healthwor [235] eliminating,#polio [226] brink,eliminating Top Word Pairs in Tweet in G1:
[528] enough,express [528] express,gratitude [528] gratitude,heroines [528] heroines,heroes [528] heroes,#pakistan [528] #pakistan,obstacle [527] drtedros,enough [527] obstacle,#healthwor [2] reach,child [2] child,need Top Word Pairs in Tweet in G2:
[210] brink,eliminating [210] eliminating,#polio [204] thanks,women [203] nigeria,brink [181] #polio,unicef [181] unicef,volunteers [181] volunteers,mostly [181] mostly,young [181] young,mothers [177] womendeliver,thanks Top Word Pairs in Tweet in G3:
[50] pakistan,polio [49] welcomed,canadian [49] canadian,high [49] high,commissioner [49] commissioner,wendy [49] wendy,gilmore [49] gilmore,pakistan [49] polio,hqtrs [49] hqtrs,neoc [49] neoc,canada Top Word Pairs in Tweet in G4:
[115] #polio,#vaccine [59] know,10 [59] 10,30 [59] 30,million [59] million,americans [59] americans,given [59] given,#polio [59] #vaccine,contaminated [59] contaminated,#cancer [59] #cancer,causing Top Word Pairs in Tweet in G5:
[24] #polio,vaccination [21] #endpolio,#polio [21] thanks,donors [21] donors,supporting [21] supporting,drive [21] drive,#endpolio [21] #endpolio,#nigeria [21] #nigeria,gatesfoundation [21] gatesfoundation,representative [20] #vaccineswork,#publichealth Top Word Pairs in Tweet in G6:
[11] ø,ù [11] ø,ø [8] thanks,women [7] brink,eliminating [7] ù,ø [6] #polio,thanks [6] eliminating,#polio [5] inspired,creation [5] candy,land [5] nigeria,brink Top Word Pairs in Tweet in G7:
[5] #polio,#vaccine [4] vax,before [4] before,age [4] age,2 [4] 2,#smallpox [4] #smallpox,#polio [4] #vaccine,grade [4] grade,school [4] school,#measles [4] #measles,#mumps Top Word Pairs in Tweet in G8:
[9] hfwodisha,mohfw_india [9] mohfw_india,mohfw_gujarat [9] mohfw_gujarat,gavi [9] gavi,nhpindia [9] nhpindia,uninindia [9] uninindia,unicefindia [9] unicefindia,mohfw_indshadow [9] mohfw_indshadow,drharshvardhan [9] drharshvardhan,q [8] whosearo,hfwodisha Top Word Pairs in Tweet in G9:
[8] 16,years [8] #polio,epidemic [7] pity,y'all [7] y'all,mark_kido [7] mark_kido,olufolakeaa [7] olufolakeaa,flakeyd [7] flakeyd,doing [5] kwara,state [5] doing,countdown [5] countdown,#flakeydeeday Top Word Pairs in Tweet in G10:
[14] diseases,#polio [14] #polio,#diphtheria [14] #diphtheria,return [14] return,children [14] children,adults [14] adults,remain [14] remain,unvaccinated [14] unvaccinated,ensure [13] cdcdirector,diseases [13] ensure,chi 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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