The graph represents a network of 6,155 Twitter users whose tweets in the requested range contained "Immunisation", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 08 September 2022 at 19:23 UTC.
The requested start date was Thursday, 08 September 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 14-minute period from Thursday, 25 August 2022 at 00:30 UTC to Wednesday, 07 September 2022 at 23:44 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 : 6155
Unique Edges : 2787
Edges With Duplicates : 9584
Total Edges : 12371
Number of Edge Types : 5
Retweet : 4545
MentionsInRetweet : 5780
Tweet : 687
Replies to : 353
Mentions : 1006
Self-Loops : 704
Reciprocated Vertex Pair Ratio : 0.0116057000146908
Reciprocated Edge Ratio : 0.0229451060121987
Connected Components : 703
Single-Vertex Connected Components : 299
Maximum Vertices in a Connected Component : 2071
Maximum Edges in a Connected Component : 4223
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 3.492922
Graph Density : 0.000181794805251721
Modularity : 0.528159
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,155 Twitter users whose tweets in the requested range contained "Immunisation", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 08 September 2022 at 19:23 UTC.
The requested start date was Thursday, 08 September 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 14-minute period from Thursday, 25 August 2022 at 00:30 UTC to Wednesday, 07 September 2022 at 23:44 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : Immunisation
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:
[2104] bill,melinda [2104] melinda,gates [2013] best,performing [2005] performing,state [1975] gates,foundation [1964] each,time [1964] time,remember [1964] remember,1m [1964] 1m,given [1964] given,po Top Word Pairs in Tweet in G1:
[1930] each,time [1930] time,remember [1930] remember,1m [1930] 1m,given [1930] given,po [1930] po,bill [1930] bill,melinda [1930] melinda,gates [1930] gates,foundation [1930] foundation,being Top Word Pairs in Tweet in G2:
[492] global,alliance [492] alliance,vaccines [492] vaccines,immunisation [492] immunisation,gavi [492] gavi,provides [492] provides,vaccine [492] vaccine,children [492] children,third [492] third,world [492] world,countries Top Word Pairs in Tweet in G3:
[347] joint,committee [305] covid,19 [297] advice,joint [296] pregnant,women [293] continue,urge [293] urge,pregnant [293] women,vaccinated [293] vaccinated,against [293] against,covid [293] 19,line Top Word Pairs in Tweet in G4:
[86] cx10,cx10 [74] h69,h69 [43] نمشے,cx10 [37] نمشے,h69 [35] covid,19 [22] immunisation,programme [22] h80,h80 [22] routine,immunisation [19] national,immunisation [16] immunisation,نمشے Top Word Pairs in Tweet in G5:
[204] covid,19 [203] #canada,désormais [203] désormais,recommandé [203] recommandé,recevoir [203] recevoir,injection [203] injection,d'arnm [203] d'arnm,covid [203] 19,tous [203] tous,90 [203] 90,jours Top Word Pairs in Tweet in G6:
[140] heard,parents [140] parents,child [140] child,given [140] given,one [140] one,dose [140] dose,booked [140] booked,2nd [140] 2nd,doses [140] doses,think [139] dgurdasani1,heard Top Word Pairs in Tweet in G7:
[149] bill,melinda [149] melinda,gates [130] peter,obi [130] obi,won [130] won,bill [130] gates,award [130] award,immunisation [130] immunisation,given [130] given,personal [130] personal,cash Top Word Pairs in Tweet in G8:
[25] against,#measles [24] unvaccinated,children [24] children,highest [24] highest,risk [24] risk,#measles [24] #measles,complications [24] complications,including [24] including,death [24] death,child [24] child,#vaccinated Top Word Pairs in Tweet in G9:
[7] covid,19 [7] #cervicalcancer,vaccine [6] bharat,biotech [5] against,covid [5] bharat,biotech's [5] immunisation,programme [5] qhpv,#cervicalcancer [5] vaccine,price [5] price,adarpoonawalla [5] adarpoonawalla,seruminstindia Top Word Pairs in Tweet in G10:
[28] bahuvirupak,0mnam0 [28] 0mnam0,arundeshpande20 [28] arundeshpande20,anandpdwivedi [28] anandpdwivedi,nrajabpcla [28] nrajabpcla,sreeramjvc [28] sreeramjvc,neerangautam [28] neerangautam,soniagurnani19 [28] soniagurnani19,sanskarbarot [27] nrajabpcl,bahuvirupak [27] sanskarbarot,sh 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 G5:
Top Replied-To in G6:
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: