The graph represents a network of 297 Twitter users whose tweets in the requested range contained "immunization", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 November 2022 at 19:59 UTC.
The requested start date was Thursday, 17 November 2022 at 01:01 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 8-hour, 58-minute period from Thursday, 03 November 2022 at 01:27 UTC to Thursday, 03 November 2022 at 10:26 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 : 297
Unique Edges : 233
Edges With Duplicates : 210
Total Edges : 443
Number of Edge Types : 5
Retweet : 101
MentionsInRetweet : 159
Tweet : 57
Replies to : 25
Mentions : 101
Self-Loops : 58
Reciprocated Vertex Pair Ratio : 0.0144927536231884
Reciprocated Edge Ratio : 0.0285714285714286
Connected Components : 89
Single-Vertex Connected Components : 30
Maximum Vertices in a Connected Component : 36
Maximum Edges in a Connected Component : 103
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.393132
Graph Density : 0.00318500318500319
Modularity : 0.644585
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 297 Twitter users whose tweets in the requested range contained "immunization", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 November 2022 at 19:59 UTC.
The requested start date was Thursday, 17 November 2022 at 01:01 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 8-hour, 58-minute period from Thursday, 03 November 2022 at 01:27 UTC to Thursday, 03 November 2022 at 10:26 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 : immunization
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:
[28] immunization,schedule [26] covid,19 [23] routine,immunization [23] childhood,immunization [19] 19,vaccine [16] vaccine,childhood [12] health,services [11] services,henrymwebesa [11] secretary,dianaatwine [11] henrymwebesa,technical Top Word Pairs in Tweet in G1:
[6] routine,immunization [4] æž,ç [3] vaccine,card [3] ãƒ,ム[3] 予é,æž [3] covid,19 [3] immunization,record [2] ãƒ,æ [2] card,protector [2] polio,vaccine Top Word Pairs in Tweet in G2:
[11] teams,hosted [11] health,services [11] secretary,dianaatwine [11] services,henrymwebesa [11] henrymwebesa,technical [11] director,general [11] permanent,secretary [11] general,health [11] technical,teams [11] dianaatwine,director Top Word Pairs in Tweet in G3:
[3] #immunization_program,#healthyup [3] #à,µà [3] µà,ªà [3] µà,µà [3] pmoindia,infodeptup [3] upgovt,brajeshpathakup [3] brajeshpathakup,pmoindia [3] ªà,#immunization_program [3] cmofficeup,upgovt [3] #healthyup,cmofficeup Top Word Pairs in Tweet in G4:
[11] childhood,immunization [11] explained,recommended [11] recommended,moving [11] still,explained [11] cdc,still [11] moving,covid [11] covid,19 [11] vaccine,childhood [11] 19,vaccine [11] immunization,schedule Top Word Pairs in Tweet in G5:
[2] under,supervision [2] mch,immunization [2] deptt,under [2] cmo,gear [2] dc,doda [2] supervision,cmo [2] doda,health [2] dg,fw [2] immunization,dc [2] routine,immunization Top Word Pairs in Tweet in G6:
[8] paused,due [8] immunization,campaigns [8] campaigns,globally [8] lockdowns,leaving [8] leaving,millions [8] 2021,paused [8] children,unprotected [8] due,lockdowns [8] globally,2020 [8] millions,children Top Word Pairs in Tweet in G7:
[2] immunization,card [2] huduma,center [2] having,required [2] despite,having Top Word Pairs in Tweet in G9:
[3] maheswariben,hard [3] health,worker [3] unwavering,motivation [3] effort,health [3] area,dahod [3] dahod,gujarat [3] reach,muvadi [3] motivation,effort [3] worker,maheswariben [3] muvadi,area Top Replied-To in Entire Graph:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
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: