The graph represents a network of 9,064 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 Friday, 15 April 2022 at 01:51 UTC.
The requested start date was Friday, 15 April 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 2-day, 14-hour, 37-minute period from Monday, 11 April 2022 at 21:26 UTC to Thursday, 14 April 2022 at 12:04 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 : 9064
Unique Edges : 4912
Edges With Duplicates : 12272
Total Edges : 17184
Number of Edge Types : 5
Replies to : 1440
Tweet : 841
Mentions : 3367
Retweet : 5335
MentionsInRetweet : 6201
Self-Loops : 903
Reciprocated Vertex Pair Ratio : 0.0165416623856981
Reciprocated Edge Ratio : 0.032544976753588
Connected Components : 1269
Single-Vertex Connected Components : 373
Maximum Vertices in a Connected Component : 3894
Maximum Edges in a Connected Component : 8637
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.505097
Graph Density : 0.000120442574236888
Modularity : 0.573587
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,064 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 Friday, 15 April 2022 at 01:51 UTC.
The requested start date was Friday, 15 April 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 2-day, 14-hour, 37-minute period from Monday, 11 April 2022 at 21:26 UTC to Thursday, 14 April 2022 at 12:04 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:
[1128] infection,mild [1128] mild,illness [1127] emerging,information [1127] information,reveals [1127] reveals,sarscov2 [1127] sarscov2,vascular [1127] vascular,disease [1127] disease,entering [1127] entering,body [1127] body,acute Top Word Pairs in Tweet in G1:
[1110] emerging,information [1110] information,reveals [1110] reveals,sarscov2 [1110] sarscov2,vascular [1110] vascular,disease [1110] disease,entering [1110] entering,body [1110] body,acute [1110] acute,infection [1110] infection,mild Top Word Pairs in Tweet in G2:
[560] public,health [560] health,please [560] please,return [560] return,promote [560] promote,things [560] things,actually [560] actually,improve [560] improve,health [560] health,smoking [560] smoking,cessation Top Word Pairs in Tweet in G3:
[234] widzieliście,może [234] może,czy [234] czy,tterlikowski [234] tterlikowski,zabrał [234] zabrał,głos [234] głos,sprawie [234] sprawie,zagrożenia [234] zagrożenia,epidemicznego [234] epidemicznego,nie [234] nie,covid Top Word Pairs in Tweet in G4:
[65] polio,vaccine [38] jonas,salk [32] vacuna,contra [32] please,help [31] contra,polio [23] covid,19 [23] polio,origen [23] origen,sida [21] dr,jonas [20] vaccinated,against Top Word Pairs in Tweet in G5:
[359] unocha,#tigray [359] #tigray,lack [359] lack,access [359] access,medicines [359] medicines,medical [359] medical,supplies [359] supplies,resulted [359] resulted,suspension [359] suspension,integrated [296] tigray_micky,unocha Top Word Pairs in Tweet in G6:
[173] warm,springs [171] polio,patients [170] beschlossdc,fdr [170] honored,polio [170] patients,warm [169] fdr,hearse [169] hearse,honored [169] springs,morning [169] morning,1945 [169] 1945,#nps Top Word Pairs in Tweet in G7:
[233] sarampo,agora [233] agora,pólio [233] pólio,depois [233] depois,retrocesso [233] retrocesso,nítido [233] nítido,saúde [232] oatila,sarampo Top Word Pairs in Tweet in G8:
[194] polio,vaccine [190] 67,years [190] years,ago [190] ago,#today [190] #today,jonas [190] jonas,salk's [190] salk's,polio [190] vaccine,declared [190] declared,safe [190] safe,successful Top Word Pairs in Tweet in G9:
[213] bill,gate [204] gate,tweeted [192] world,richest [132] gej,administration [131] tweeted,success [131] success,gej [131] administration,combating [131] combating,polio [130] one,world [130] richest,men Top Word Pairs in Tweet in G10:
[46] health,workers [27] thank,dorothy [27] dorothy,one [27] one,many [27] many,unicef [27] unicef,supported [27] supported,health [27] workers,malawi [27] malawi,vaccinating [27] vaccinating,children Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G8:
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: