The graph represents a network of 1,961 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 Monday, 10 May 2021 at 02:36 UTC.
The requested start date was Monday, 10 May 2021 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, 11-hour, 9-minute period from Monday, 26 April 2021 at 00:26 UTC to Sunday, 09 May 2021 at 11:36 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 : 1961
Unique Edges : 1090
Edges With Duplicates : 3013
Total Edges : 4103
Number of Edge Types : 5
Retweet : 1366
MentionsInRetweet : 1696
Tweet : 357
Mentions : 566
Replies to : 118
Self-Loops : 371
Reciprocated Vertex Pair Ratio : 0.011025886864813
Reciprocated Edge Ratio : 0.0218112849691797
Connected Components : 320
Single-Vertex Connected Components : 132
Maximum Vertices in a Connected Component : 965
Maximum Edges in a Connected Component : 2522
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.624005
Graph Density : 0.000548710050057759
Modularity : 0.511994
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,961 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 Monday, 10 May 2021 at 02:36 UTC.
The requested start date was Monday, 10 May 2021 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, 11-hour, 9-minute period from Monday, 26 April 2021 at 00:26 UTC to Sunday, 09 May 2021 at 11:36 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 : #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:
[114] global,#polio [111] aid,cut [95] cases,each [95] each,year [94] #polio,infections [94] infections,reduced [94] reduced,few [94] few,hundred [94] hundred,cases [91] diseases,#measles Top Word Pairs in Tweet in G1:
[68] diseases,#measles [67] vaccines,help [67] help,kids [67] kids,stay [67] stay,school [67] school,without [67] without,risk [67] risk,vaccine [67] vaccine,preventable [67] preventable,diseases Top Word Pairs in Tweet in G2:
[28] save,lives [28] children,vaccinated [27] #endpolio,#polio [27] hands,one [27] one,greatest [27] greatest,tools [27] tools,history [27] history,human [27] human,health [27] health,vaccines Top Word Pairs in Tweet in G3:
[10] #polio,vaccine [7] #polio,#vaccine [5] #polio,#vaccines [5] #polio,eradication [4] #measles,#polio [4] #covid19,#polio [4] #polio,#covid19 [4] #covid19,#coronavirus [4] #coronavirus,#polio [3] polio,vaccine Top Word Pairs in Tweet in G4:
[17] #covidsecondwaveinindia,rapid [17] rapid,vaccination [17] vaccination,drive [17] drive,save [17] save,people [17] people,frm [17] frm,covid [17] covid,vaccinate [17] vaccinate,people [16] forpublicissues,#covidsecondwaveinindia Top Word Pairs in Tweet in G5:
[52] cdcglobal,#polio [44] #polio,program [44] health,workers [43] program,delivers [43] delivers,more [43] more,polio [43] polio,vaccine [43] vaccine,polio [43] polio,health [43] workers,respond Top Word Pairs in Tweet in G6:
[15] #polio,programme [13] female,frontline [13] frontline,workers [13] workers,#polio [13] #polio,workforce's [13] workforce's,valuable [13] valuable,powerful [13] powerful,asset [13] asset,women [12] public,health Top Word Pairs in Tweet in G7:
[39] met,cmshehbaz [39] cmshehbaz,residence [39] residence,congratulate [39] congratulate,bail [39] bail,governance [39] governance,passion [39] passion,public [39] public,service [39] service,shehbaz [38] ayesharaza13,met Top Word Pairs in Tweet in G8:
[28] wonder,aloksharma_rdg [28] aloksharma_rdg,ex [28] ex,dfid_uk [28] dfid_uk,secretary [28] secretary,president [28] president,cop26 [28] cop26,planning [28] planning,defend [28] defend,devastating [28] devastating,95 Top Word Pairs in Tweet in G9:
[27] 1988,#polio [20] #polio,endemic [20] endemic,over [20] over,125 [20] 125,countries [20] countries,continents [20] continents,paralyzing [20] paralyzing,gt [20] gt,1000 [20] 1000,children Top Word Pairs in Tweet in G10:
[23] know,brutal [23] brutal,cuts [23] cuts,#polio [23] #polio,funding [23] funding,95 [22] dr_philippaw,know [7] uk,#g7 [7] #g7,nation [7] nation,cutting [7] cutting,#oda Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
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: