The graph represents a network of 183 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 November 2022 at 20:18 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 9-hour, 0-minute period from Thursday, 03 November 2022 at 01:24 UTC to Thursday, 03 November 2022 at 10:25 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 : 183
Unique Edges : 70
Edges With Duplicates : 236
Total Edges : 306
Number of Edge Types : 5
Retweet : 66
MentionsInRetweet : 85
Tweet : 17
Replies to : 13
Mentions : 125
Self-Loops : 19
Reciprocated Vertex Pair Ratio : 0.00598802395209581
Reciprocated Edge Ratio : 0.0119047619047619
Connected Components : 33
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 54
Maximum Edges in a Connected Component : 103
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.971733
Graph Density : 0.00504413619167718
Modularity : 0.528282
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 183 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 November 2022 at 20:18 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 9-hour, 0-minute period from Thursday, 03 November 2022 at 01:24 UTC to Thursday, 03 November 2022 at 10:25 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:
[35] 400,20 [35] comitã,consultatif [35] 2022,comitã [35] prix,covid [35] vaccins,400 [35] pfizer,augmente [35] octobre,2022 [35] augmente,prix [35] consultatif,pratiques [35] 20,octobre Top Word Pairs in Tweet in G1:
[2] enigmastellkit,rotor_motor13b [2] rw_christian,iainmulady [2] orion_darth,joe09396262 [2] albertsback0,jilel76 [2] plhartungrn,maximelearning [2] tmafkab,swaledalemutton [2] sadly02751722,springbok1066 [2] springbok1066,hansel21_ [2] ryanbeed,dann58638436 [2] carlsmythe,ryanbeed Top Word Pairs in Tweet in G2:
[35] vaccins,400 [35] 2022,comitã [35] comitã,consultatif [35] 20,octobre [35] augmente,prix [35] consultatif,pratiques [35] 400,20 [35] prix,covid [35] pfizer,augmente [35] octobre,2022 Top Word Pairs in Tweet in G3:
[2] appointment,healthworker [2] incase,child [2] important,incase [2] prevented,vaccination [2] polio,prevented [2] child,missed [2] vaccination,given [2] schedule,appointment [2] missed,shot [2] immunisation,important Top Word Pairs in Tweet in G4:
[3] childhood,routine [3] pre,conflict [3] below,10 [3] immunisation,levels [3] 90,pre [3] around,90 [3] levels,tigray [3] plunged,below [3] 10,around [3] routine,immunisation Top Word Pairs in Tweet in G5:
[4] immunisation,diprjk [4] #back2village4,routine [4] diprjk,vikashappy87 [4] routine,immunisation [3] dmrajouri,#back2village4 Top Word Pairs in Tweet in G6:
[6] #commonground,data [6] data,aefi [6] suggests,india [6] data,suggests [6] adverse,event [6] india,system [6] system,reporting [6] aefi,adverse [6] collating,data [6] reporting,cases Top Word Pairs in Tweet in G7:
[5] pneumococcal,vaccination [4] working,ilcuk [4] determine,pneumococcal [4] europe,working [4] ilcuk,determine [4] childhood,pneumococcal [4] vaccination,look [4] look,europe [3] c_l_c_i,childhood [3] pneumococcal,vaccinâ Top Word Pairs in Tweet in G8:
[2] immunised,jabs [2] jabs,immunised [2] sick,those [2] kacdnp91,sick [2] those,jabs [2] normanswan,kacdnp91 [2] kev19081874,normanswan Top Word Pairs in Tweet in G10:
[2] erikloridan,projet [2] d'immunisation,base [2] vaccination,continue [2] suffisamment,levã [2] prã,cã [2] dentes,ont [2] d',immunisation [2] ãªtre,empãªchã [2] levã,vaccination [2] cã,dentes Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G8:
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: