The graph represents a network of 9,495 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 Monday, 04 July 2022 at 07:21 UTC.
The requested start date was Monday, 04 July 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 3-day, 0-hour, 13-minute period from Thursday, 30 June 2022 at 12:03 UTC to Sunday, 03 July 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 : 9495
Unique Edges : 4710
Edges With Duplicates : 12193
Total Edges : 16903
Number of Edge Types : 5
Retweet : 5577
MentionsInRetweet : 6417
Mentions : 1692
Tweet : 2761
Replies to : 456
Self-Loops : 2830
Reciprocated Vertex Pair Ratio : 0.00442260442260442
Reciprocated Edge Ratio : 0.00880626223091976
Connected Components : 2431
Single-Vertex Connected Components : 973
Maximum Vertices in a Connected Component : 2248
Maximum Edges in a Connected Component : 4759
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 9.673592
Graph Density : 9.06977861242815E-05
Modularity : 0.542907
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,495 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 Monday, 04 July 2022 at 07:21 UTC.
The requested start date was Monday, 04 July 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 3-day, 0-hour, 13-minute period from Thursday, 30 June 2022 at 12:03 UTC to Sunday, 03 July 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:
[6253] covid,19 [419] 19,vaccine [259] contra,covid [184] 19,vaccines [180] 19,over [175] over,past [175] cell,counts [174] times,covid [170] infected,times [170] past,plus Top Word Pairs in Tweet in G1:
[932] covid,19 [58] pandemi,covid [41] 19,vaccines [37] contra,covid [31] 19,vaccine [27] casos,covid [26] 19,pandemic [26] merebaknya,pandemi [26] 19,berbagai [26] berbagai,belahan Top Word Pairs in Tweet in G2:
[282] covid,19 [105] contre,covid [104] système,immunitaire [86] vaccination,contre [79] nouvelle,étude [77] étude,documents [77] documents,pfizer [77] pfizer,prouvent [77] prouvent,vaccination [77] 19,provoquer Top Word Pairs in Tweet in G3:
[208] covid,19 [165] infected,times [165] times,covid [165] 19,over [165] over,past [165] past,plus [165] plus,years [165] years,recent [165] recent,cell [165] cell,counts Top Word Pairs in Tweet in G4:
[196] covid,19 [148] 19,vaccine [132] vaccine,mandates [130] mandates,straightforward [130] straightforward,violations [130] violations,medical [130] medical,ethics [130] ethics,failure [130] failure,matter [130] strauss_matt,covid Top Word Pairs in Tweet in G5:
[222] covid,19 [100] contra,covid [77] 19,venezuela [46] últimas,24 [45] nuevos,contagios [45] 24,horas [41] medidas,bioseguridad [41] venezuela,registra [40] lucha,contra [39] contagios,últimas Top Word Pairs in Tweet in G6:
[60] covid,19 [28] lci,#covid19 [22] #covid19,interrogations [22] interrogations,lien [22] lien,vaccination [22] vaccination,rares [22] rares,pertes [22] pertes,d'audition [9] 19,hausse [9] hausse,nouvelles Top Word Pairs in Tweet in G7:
[292] covid,19 [143] update,covid [143] 19,treatment [143] treatment,result [143] ประกาศแจ,งผลการร [143] งผลการร,กษา [143] กษา,covid [143] 19,ของ [136] win,metawin [126] result,win Top Word Pairs in Tweet in G8:
[45] covid,19 [24] uk,gov [24] gov,quietly [24] quietly,published [24] published,data [24] data,confirming [24] confirming,fully [24] fully,vaxxinated [24] vaxxinated,accounted [24] accounted,92 Top Word Pairs in Tweet in G9:
[113] covid,19 [57] lost,job [57] job,speaking [57] speaking,against [57] against,dangerous [57] dangerous,covid [57] 19,policies [57] policies,perpetuated [57] perpetuated,government [57] government,appears Top Word Pairs in Tweet in G10:
[73] briefing,congress [73] congress,tuesday [73] tuesday,fl [73] fl,surgeon [73] surgeon,general [73] general,joseph [73] joseph,ladapo [73] ladapo,confirmed [73] confirmed,decision [73] decision,block Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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:
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Top Mentioned in G7:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: