The graph represents a network of 6,933 Twitter users whose tweets in the requested range contained "antivax", 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 07:15 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 9-day, 0-hour, 24-minute period from Friday, 15 May 2020 at 16:36 UTC to Sunday, 24 May 2020 at 17:01 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 : 6933
Unique Edges : 6583
Edges With Duplicates : 6113
Total Edges : 12696
Number of Edge Types : 5
Tweet : 1150
Retweet : 2319
MentionsInRetweet : 3738
Replies to : 1459
Mentions : 4030
Self-Loops : 1182
Reciprocated Vertex Pair Ratio : 0.0185614849187935
Reciprocated Edge Ratio : 0.0364464692482916
Connected Components : 1616
Single-Vertex Connected Components : 653
Maximum Vertices in a Connected Component : 2503
Maximum Edges in a Connected Component : 7212
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.136474
Graph Density : 0.000173555494353714
Modularity : 0.613755
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 6,933 Twitter users whose tweets in the requested range contained "antivax", 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 07:15 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 9-day, 0-hour, 24-minute period from Friday, 15 May 2020 at 16:36 UTC to Sunday, 24 May 2020 at 17:01 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 : antivax
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:
[14] #covid19,antivax [13] antivax,meme [11] meme,going [8] going,around [8] around,although [7] although,comparison [7] comparison,nothing [7] nothing,white [7] white,privileged [7] privileged,entitled Top Word Pairs in Tweet in G3:
[46] gorskon,reminder [46] reminder,realdonaldtrump [46] realdonaldtrump,sat [46] sat,down [46] down,interview [46] interview,sharylattkisson [46] sharylattkisson,antivaxxer [46] antivaxxer,around [46] around,conspiracy [45] shelly,hipaa Top Word Pairs in Tweet in G4:
[161] #fakemed,#antivax [161] decryptage,arretsurimages [161] arretsurimages,discours [161] discours,#fakenews [161] #fakenews,#fakemed [161] #antivax,webinar [161] webinar,d'experts [161] d'experts,autoproclamés [161] autoproclamés,bien [41] bien,être Top Word Pairs in Tweet in G5:
[40] antivax,non [38] adesso,tutti [38] tutti,comprendiamo [38] comprendiamo,importanza [38] importanza,delle [38] delle,vaccinazioni [38] vaccinazioni,gli [38] gli,antivax [38] non,perdono [38] perdono,occasione Top Word Pairs in Tweet in G6:
[164] took,deep [163] deep,dive [163] dive,internetphd [163] internetphd,maga [163] maga,antivax [163] antivax,conspiracytheory [163] conspiracytheory,karen [163] karen,twitter [163] twitter,jesus [163] jesus,pull Top Word Pairs in Tweet in G7:
[137] #ethanlindenberger,went [137] went,vaccinated [137] vaccinated,turned [137] turned,18 [137] 18,against [137] against,antivax [137] antivax,mother's [137] mother's,wishes [137] ah_science,ixeno [137] ixeno,chelseaclinton Top Word Pairs in Tweet in G8:
[8] #vaccine,#vaccinesarenottheanswer [8] #vaccinesarenottheanswer,#vaccinating [8] #vaccinating,#vaccination [8] #vaccination,#antivax [8] alexlunaviewof1,royalmrbadnews [8] federal,bureaucracy [8] bureaucracy,supposed [8] supposed,protect [7] protect,outside [7] outside,interests Top Word Pairs in Tweet in G9:
[6] simultaneously,delusional [6] delusional,glimpse [6] glimpse,things [6] things,come [4] come,example [3] example,antivax [3] antivax,mvmt [3] noupside,simultaneously [3] robert,kennedy [3] kennedy,crackpot Top Word Pairs in Tweet in G10:
[63] #glyphosate,enables [63] enables,till [63] till,farming [63] farming,protects [63] protects,top [63] top,soil [63] soil,soil [62] soil,organic [12] organic,matter [12] matter,co2 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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