The graph represents a network of 7,818 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, 13 October 2022 at 19:25 UTC.
The requested start date was Thursday, 13 October 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 11-day, 13-hour, 20-minute period from Saturday, 01 October 2022 at 10:14 UTC to Wednesday, 12 October 2022 at 23:34 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 : 7818
Unique Edges : 2618
Edges With Duplicates : 12869
Total Edges : 15487
Number of Edge Types : 5
Retweet : 6107
MentionsInRetweet : 6803
Replies to : 719
Mentions : 1301
Tweet : 557
Self-Loops : 575
Reciprocated Vertex Pair Ratio : 0.0118200458328308
Reciprocated Edge Ratio : 0.0233639289545834
Connected Components : 597
Single-Vertex Connected Components : 213
Maximum Vertices in a Connected Component : 5539
Maximum Edges in a Connected Component : 11974
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 4.734747
Graph Density : 0.000137269615229129
Modularity : 0.499329
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 7,818 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, 13 October 2022 at 19:25 UTC.
The requested start date was Thursday, 13 October 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 11-day, 13-hour, 20-minute period from Saturday, 01 October 2022 at 10:14 UTC to Wednesday, 12 October 2022 at 23:34 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:
[3634] covid,19 [3025] lt,65 [2960] boosters,healthy [2957] healthy,individuals [2951] years,age [2951] 65,years [2950] norway,recommend [2950] 19,boosters [2949] individuals,lt [2949] recommend,covid Top Word Pairs in Tweet in G1:
[2813] boosters,healthy [2813] healthy,individuals [2813] individuals,lt [2813] norway,recommend [2813] 65,years [2813] recommend,covid [2813] covid,19 [2813] lt,65 [2813] years,age [2813] 19,boosters Top Word Pairs in Tweet in G2:
[390] onder,65 [389] mensen,onder [387] 65,alleen [387] door,geen [387] boosters,meer [387] noorwegen,sijpelt [387] gewone,mensen [387] gezond,verstand [387] wat,gezond [387] verstand,door Top Word Pairs in Tweet in G3:
[73] routine,immunisation [44] children,tigray [43] year,data [43] fallen,below [43] equity,immunisation [43] vaccines,fallen [43] below,10 [43] tigray,receiving [43] receiving,routine [43] routine,vaccines Top Word Pairs in Tweet in G4:
[151] données,recommander [151] recommander,vaccins [146] anti,covid [146] bivalents,selon [146] assez,données [145] covid,bivalents [145] vaccins,anti [101] entendait,recommander [101] révélait,qu [101] choix,éclairé Top Word Pairs in Tweet in G5:
[122] stopping,immunisation [51] immunisation,transmission [44] know,stopping [23] immunisation,before [22] stopping,transmission [17] stop,immunisation [16] frankfranfranco,rob_roos [16] covid,passes [16] xavier_bettel,lessentiel [16] condition,covid Top Word Pairs in Tweet in G6:
[304] covid,19 [287] norwegen,empfiehlt [279] empfiehlt,gesunden [279] 65,jahren [279] herbst,keinerlei [279] keinerlei,covid [279] personen,alter [279] jahren,herbst [279] alter,65 [279] gesunden,personen Top Word Pairs in Tweet in G7:
[17] covid,19 [16] routine,immunisation [10] flu,immunisation [8] public,health [8] bivalents,selon [8] anti,covid [8] covid,bivalents [8] assez,données [8] recommander,vaccins [8] données,recommander Top Word Pairs in Tweet in G8:
[156] yaş,herkese [155] kafayı,bozmuş [155] ile,kafayı [155] aşı,ile [155] kaçış,devam [155] mrna,aşılarından [155] daha,önce [155] devam,ediyor [155] ediyor,daha [155] 50,yaş Top Word Pairs in Tweet in G9:
[124] public,health [110] covid,19 [109] app,evolved [109] powerful,digital [109] evolved,powerful [109] health,endless [109] mysejahtera,started [109] simple,covid [109] started,simple [109] 19,app Top Word Pairs in Tweet in G10:
[200] ãƒ,ム[100] ãƒ,æž [100] 人ã,ム[100] åº,ª64æ [100] æž,ªã [100] ç,ºè [100] マãƒ,ム[100] ãƒ,åº [100] ª64æ,人ã [100] ªã,ç 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 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: