The graph represents a network of 9,608 Twitter users whose tweets in the requested range contained "vaccine OR vaccination", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 August 2020 at 00:43 UTC.
The requested start date was Monday, 10 August 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 4-day, 3-hour, 4-minute period from Wednesday, 05 August 2020 at 10:34 UTC to Sunday, 09 August 2020 at 13:39 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 : 9608
Unique Edges : 5488
Edges With Duplicates : 11278
Total Edges : 16766
Number of Edge Types : 5
Tweet : 1992
Retweet : 5104
MentionsInRetweet : 6035
Replies to : 1385
Mentions : 2250
Self-Loops : 2051
Reciprocated Vertex Pair Ratio : 0.00981256890848953
Reciprocated Edge Ratio : 0.0194344360738072
Connected Components : 1937
Single-Vertex Connected Components : 755
Maximum Vertices in a Connected Component : 3948
Maximum Edges in a Connected Component : 8395
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.631158
Graph Density : 9.92264088589997E-05
Modularity : 0.57718
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 9,608 Twitter users whose tweets in the requested range contained "vaccine OR vaccination", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 August 2020 at 00:43 UTC.
The requested start date was Monday, 10 August 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 4-day, 3-hour, 4-minute period from Wednesday, 05 August 2020 at 10:34 UTC to Sunday, 09 August 2020 at 13:39 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 : vaccine OR vaccination
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:
[922] covid,19 [544] 19,vaccine [463] coronavirus,vaccine [361] bill,gates [357] ng,vaccine [357] human,rights [347] hindi,sila [347] sila,naghintay [347] naghintay,ng [347] vaccine,hindi Top Word Pairs in Tweet in G1:
[174] covid,19 [106] 19,vaccine [59] coronavirus,vaccine [34] covid,vaccine [31] ãƒ,ム[26] #coronavirus,#vaccine [23] corona,vaccine [21] those,refuse [20] prevent,restrictions [20] restrictions,those Top Word Pairs in Tweet in G2:
[347] hindi,sila [347] sila,naghintay [347] naghintay,ng [347] ng,vaccine [347] vaccine,hindi [347] hindi,nila [347] nila,binaboy [347] binaboy,ang [347] ang,frontliners [347] frontliners,human Top Word Pairs in Tweet in G3:
[11] covid,19 [11] realdonaldtrump,taking [11] taking,vaccine [10] vaccine,related [10] related,scamdemic [10] scamdemic,vaccine [9] warp,speed [9] johnpecco1,realdonaldtrump [9] vaccine,mattâ [9] oxford,university Top Word Pairs in Tweet in G4:
[87] 7tine76,over [86] bill,gates [85] 000,people [84] over,400 [84] 400,000 [84] people,paralyzed [84] paralyzed,india [84] india,before [84] before,took [84] took,vaccine Top Word Pairs in Tweet in G5:
[71] #savejee_neetstudentspm,major [71] major,issues [71] issues,airborne [71] airborne,transmission [71] transmission,transportation [71] transportation,issues [71] issues,less [71] less,examination [71] examination,centres [70] aslesha23062000,#savejee_neetstudentspm Top Word Pairs in Tweet in G6:
[18] coalition,leading [18] leading,public [18] public,health [18] health,experts [18] experts,urged [18] urged,food [18] food,drug [18] drug,administration [18] administration,conduct [18] conduct,full Top Word Pairs in Tweet in G7:
[170] exactly,fauci [170] fauci,much [170] much,time [170] time,hands [170] hands,during [170] during,pandemic [169] marklevinshow,exactly [6] highly,effective [5] coronavirus,vaccine [5] flu,once Top Word Pairs in Tweet in G8:
[86] covid,19 [44] bill,gates [44] italian,lawmakers [44] lawmakers,demand [44] demand,gates [44] gates,investigated [44] investigated,one [44] one,reasons [44] reasons,believe [44] believe,covid Top Word Pairs in Tweet in G9:
[48] bill,gates [47] 700,000 [45] 000,victims [45] busydrt,bill [44] gates,10 [44] 10,000 [44] 000,people [44] people,permanent [44] permanent,vaccination [44] vaccination,damage Top Word Pairs in Tweet in G10:
[31] coronavirus,vaccine [30] bill,gates [22] make,millions [21] bobby,kennedy [20] take,vaccine [19] vaccine,guy [19] guy,bill [19] gates,see [19] see,entire [19] entire,global Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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: