The graph represents a network of 4,480 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, 17 September 2020 at 20:39 UTC.
The requested start date was Thursday, 17 September 2020 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, 22-hour, 50-minute period from Thursday, 03 September 2020 at 00:15 UTC to Wednesday, 16 September 2020 at 23:05 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 : 4480
Unique Edges : 2373
Edges With Duplicates : 5648
Total Edges : 8021
Number of Edge Types : 5
Retweet : 2574
MentionsInRetweet : 3102
Tweet : 725
Replies to : 460
Mentions : 1160
Self-Loops : 761
Reciprocated Vertex Pair Ratio : 0.0164009111617312
Reciprocated Edge Ratio : 0.0322725235320484
Connected Components : 824
Single-Vertex Connected Components : 312
Maximum Vertices in a Connected Component : 944
Maximum Edges in a Connected Component : 2167
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.059381
Graph Density : 0.000222367078110548
Modularity : 0.572103
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 4,480 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, 17 September 2020 at 20:39 UTC.
The requested start date was Thursday, 17 September 2020 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, 22-hour, 50-minute period from Thursday, 03 September 2020 at 00:15 UTC to Wednesday, 16 September 2020 at 23:05 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:
[573] child,immunisation [543] 64,drop [543] drop,child [543] immunisation,50 [543] 50,drop [543] drop,bcg [530] bcg,vaccination [530] vaccination,39 [349] horror,unfolded [349] unfolded,covid Top Word Pairs in Tweet in G1:
[347] horror,unfolded [347] unfolded,covid [347] covid,64 [347] 64,drop [347] drop,child [347] child,immunisation [347] immunisation,50 [347] 50,drop [347] drop,bcg [347] bcg,vaccination Top Word Pairs in Tweet in G2:
[59] immunisation,program [56] twitter,flatearth [56] flatearth,immunisation [33] subscribe,flatearth [33] flatearth,blocklist [23] flu,immunisation [23] bill,gates [22] covid,19 [18] polio,immunisation [15] routine,immunisation Top Word Pairs in Tweet in G3:
[246] evam,poshan [241] 'sehat,evam [236] nutrition,immunisation [234] proper,nutrition [233] govt,launches [231] poshan,saathinwas' [230] saathinwas',ensure [230] ensure,proper [229] aap,govt [229] launches,24x7 Top Word Pairs in Tweet in G4:
[181] 64,drop [181] drop,child [181] child,immunisation [181] immunisation,50 [181] 50,drop [181] drop,bcg [181] bcg,vaccination [181] vaccination,39 [180] national,#health [180] #health,data Top Word Pairs in Tweet in G5:
[109] #diabetes,induced [109] induced,#vaccine [109] #vaccine,considered [109] considered,rare [109] rare,potential [109] potential,adverse [108] adverse,event [107] event,incidence [107] incidence,chronic [105] lotusoak2,#diabetes Top Word Pairs in Tweet in G6:
[2] following,immunisation [2] lightforriley,city [2] city,melbourne [2] melbourne,still [2] still,running [2] running,community [2] community,vaccination [2] vaccination,sessions [2] sessions,both [2] both,whooping Top Word Pairs in Tweet in G7:
[31] flu,vaccine [29] national,immunisation [28] seeing,rise [28] rise,misinformation [28] misinformation,#flu [28] #flu,vaccine [28] vaccine,added [28] added,common [28] common,qs [28] qs,office Top Word Pairs in Tweet in G8:
[18] school,age [17] flu,season [16] school,flu [16] season,begin [16] begin,fife [16] fife,head [16] head,over [16] over,webpage [16] webpage,find [16] find,date Top Word Pairs in Tweet in G9:
[70] immunisation,passports [70] passports,social [70] social,distancing [70] distancing,masks [70] masks,destroying [70] destroying,children's [70] children's,lives [70] lives,yes [70] yes,hugging [69] 5agenda21,immunisation Top Word Pairs in Tweet in G10:
[15] covid,19 [14] isn,vaccine [14] vaccine,covid [14] 19,vaccinations [14] vaccinations,available [14] available,many [14] many,infectious [14] infectious,potentially [13] wait,child [13] child,fall Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: