The graph represents a network of 4,815 Twitter users whose tweets in the requested range contained "VaccinesWork", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 May 2020 at 03:34 UTC.
The requested start date was Monday, 25 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 8-day, 15-hour, 44-minute period from Saturday, 16 May 2020 at 08:10 UTC to Sunday, 24 May 2020 at 23:54 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 : 4815
Unique Edges : 3279
Edges With Duplicates : 8536
Total Edges : 11815
Number of Edge Types : 5
Tweet : 909
Mentions : 1788
Replies to : 208
Retweet : 3660
MentionsInRetweet : 5250
Self-Loops : 943
Reciprocated Vertex Pair Ratio : 0.0124881441669301
Reciprocated Edge Ratio : 0.0246682279469165
Connected Components : 574
Single-Vertex Connected Components : 300
Maximum Vertices in a Connected Component : 3376
Maximum Edges in a Connected Component : 9428
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.281001
Graph Density : 0.000276322822712054
Modularity : 0.499783
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,815 Twitter users whose tweets in the requested range contained "VaccinesWork", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 May 2020 at 03:34 UTC.
The requested start date was Monday, 25 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 8-day, 15-hour, 44-minute period from Saturday, 16 May 2020 at 08:10 UTC to Sunday, 24 May 2020 at 23:54 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 : VaccinesWork
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 G2:
[262] protect,child [257] child,health [251] health,making [225] making,sure [222] sure,date [217] date,recommended [217] recommended,#vaccinations [217] #vaccinations,check [217] check,see [217] see,child Top Word Pairs in Tweet in G3:
[86] #vaccine,#vaccineswork [86] covid,19 [86] #vaccines,#vaccineswork [86] #coronavirus,#vaccineswork [86] #covid19,#vaccineswork [86] anti,vaxxers [86] #covid_19,#vaccineswork [86] #vaccineswork,#vaccine [85] preventable,diseases [85] guess,disease Top Word Pairs in Tweet in G4:
[19] #covid19,pandemic [17] during,#covid19 [10] widespread,interruption [10] interruption,immunization [9] immunization,services [9] services,during [9] pandemic,putting [8] putting,80 [8] 80,million [8] million,babies Top Word Pairs in Tweet in G5:
[153] damn,those [135] those,pesky [134] pesky,facts [134] facts,#vaccines [134] #vaccines,#vaccineswork [134] #vaccineswork,pissing [134] pissing,#antivaxxers [134] #antivaxxers,#antivaccination [134] answersinreason,damn [134] #antivaccination,nonse Top Word Pairs in Tweet in G6:
[8] another,child [8] siaisfree,sharpliving [8] sharpliving,another [8] child,sacrificed [8] sacrificed,altar [8] altar,church [8] church,vaccinology [8] vaccinology,another [7] child,initiated [7] colleenhubernmd,siaisfree Top Word Pairs in Tweet in G7:
[26] response,infamous [13] infamous,forbes [13] forbes,article [13] article,please [13] please,share [13] share,widely [13] widely,let's [13] let's,hope [13] hope,helps [12] helps,people Top Word Pairs in Tweet in G8:
[88] edward,jenner [88] 17,05 [88] 05,1749 [88] 1749,nació [88] nació,edward [88] jenner,médico [88] médico,inglés [88] inglés,1796 [88] 1796,descubrió [88] descubrió,#vacuna Top Word Pairs in Tweet in G9:
[90] immunization,means [80] means,protecting [80] protecting,person [80] person,against [80] against,vaccine [80] vaccine,preventable [80] preventable,diseases [80] diseases,building [80] building,body [80] body,defense Top Word Pairs in Tweet in G10:
[30] read,recommendations [30] recommendations,1st [30] 1st,global [30] global,forum [30] forum,childhood [30] childhood,pneumonia [30] pneumonia,lancetgh [30] lancetgh,more [30] more,important [30] stop_pneumonia,read Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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