The graph represents a network of 9,173 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 October 2022 at 07:13 UTC.
The requested start date was Friday, 14 October 2022 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 2-day, 0-hour, 16-minute period from Tuesday, 11 October 2022 at 12:01 UTC to Thursday, 13 October 2022 at 12:17 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 : 9173
Unique Edges : 3990
Edges With Duplicates : 12697
Total Edges : 16687
Number of Edge Types : 5
Retweet : 5943
MentionsInRetweet : 6532
Mentions : 1631
Replies to : 497
Tweet : 2084
Self-Loops : 2137
Reciprocated Vertex Pair Ratio : 0.00535605599513086
Reciprocated Edge Ratio : 0.010655042983412
Connected Components : 1920
Single-Vertex Connected Components : 699
Maximum Vertices in a Connected Component : 3157
Maximum Edges in a Connected Component : 6734
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.555441
Graph Density : 9.81639502229019E-05
Modularity : 0.533564
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 9,173 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 October 2022 at 07:13 UTC.
The requested start date was Friday, 14 October 2022 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 2-day, 0-hour, 16-minute period from Tuesday, 11 October 2022 at 12:01 UTC to Thursday, 13 October 2022 at 12:17 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 : COVID-19
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:
[6039] covid,19 [1148] 19,vaccine [642] 450,million [583] doses,covid [576] billion,doses [576] purchase,billion [569] vaccine,450 [564] million,eu [552] eu,residents [547] biggest,corruption Top Word Pairs in Tweet in G1:
[659] covid,19 [44] 19,vaccine [33] 19,pandemic [21] contra,covid [15] pandemi,covid [14] 19,booster [13] 19,vaccines [12] masa,pandemi [12] pandemia,covid [12] during,covid Top Word Pairs in Tweet in G2:
[511] covid,19 [500] million,eu [500] billion,doses [500] 450,million [500] residents,biggest [500] purchase,billion [500] doses,covid [500] eu,residents [500] 19,vaccine [500] vaccine,450 Top Word Pairs in Tweet in G3:
[255] covid,19 [144] vaccin,covid [142] doses,vaccin [142] 19,450 [142] milliards,doses [142] l'achat,milliards [133] 450,millions [133] l'ue,plus [133] plus,grand [74] millions,d'habitants Top Word Pairs in Tweet in G4:
[258] covid,19 [157] vtvcanal8,#prevención [153] preventivos,efectivos [153] métodos,preventivos [153] uso,adecuado [153] mascarilla,indica [153] indica,métodos [153] adecuado,mascarilla [153] efectivos,evitar [153] #prevención,uso Top Word Pairs in Tweet in G5:
[61] covid,19 [14] faces,150 [14] bilderbilgers,influenced [14] response,covid [14] influenced,controlled [14] 150,bilderbilgers [14] names,faces [14] controlled,response [9] 19,vaccine [8] whether,scientific Top Word Pairs in Tweet in G6:
[115] covid,19 [79] 19,vaccine [51] pfizer,executive [49] executive,monday [49] vaccine,stop [49] pfizer,officials [49] whether,covid [49] officials,knew [49] covid,vaccine [49] monday,pfizer Top Word Pairs in Tweet in G7:
[156] pfizer,executive [154] covid,19 [154] 19,vaccine [153] vaccine,never [153] 'this,scandalous' [153] admits,covid [153] never,tested [153] executive,admits [153] prevent,transmission [153] transmission,'this Top Word Pairs in Tweet in G8:
[79] covid,19 [76] parlement,européen [75] l'achat,milliards [75] doses,vaccin [75] milliards,doses [75] vaccin,covid [75] 19,450 [71] 450,million [70] européen,déclaré [70] kolakusic,parlement Top Word Pairs in Tweet in G9:
[89] covid,19 [64] 19,research [64] everyone,learned [64] lesson,everyone [64] learned,covid [63] drsimonegold,lesson [10] ican,safe [9] wrong,country [9] according,ican [9] status,recognized Top Word Pairs in Tweet in G10:
[11] 400,000 [10] conferma,oltre [10] oltre,400 [10] governo,inglese [10] avverse,correlate [10] 000,reazioni [10] inglese,conferma [10] reazioni,avverse [10] decessi,oltre [10] 000,decessi 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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Top Tweeters in G10: