The graph represents a network of 11,457 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 02 July 2022 at 07:33 UTC.
The requested start date was Saturday, 02 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 2-day, 0-hour, 3-minute period from Wednesday, 29 June 2022 at 12:16 UTC to Friday, 01 July 2022 at 12:19 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 : 11457
Unique Edges : 6498
Edges With Duplicates : 11283
Total Edges : 17781
Number of Edge Types : 5
Retweet : 5093
MentionsInRetweet : 5932
Tweet : 2938
Replies to : 1353
Mentions : 2465
Self-Loops : 2972
Reciprocated Vertex Pair Ratio : 0.00540774388924941
Reciprocated Edge Ratio : 0.0107573149741824
Connected Components : 3230
Single-Vertex Connected Components : 965
Maximum Vertices in a Connected Component : 2159
Maximum Edges in a Connected Component : 4566
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 11.575532
Graph Density : 7.08259155072428E-05
Modularity : 0.586923
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,457 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 02 July 2022 at 07:33 UTC.
The requested start date was Saturday, 02 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 2-day, 0-hour, 3-minute period from Wednesday, 29 June 2022 at 12:16 UTC to Friday, 01 July 2022 at 12:19 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
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:
[1667] covid,19 [239] ม,แพ [206] long,covid [188] covid,vaccine [155] covid,vaccines [145] 19,vaccine [127] manuelrico,hoy [125] during,covid [124] contra,covid [119] covid,cases Top Word Pairs in Tweet in G1:
[230] covid,19 [19] long,covid [18] covid,cases [18] positive,covid [17] casos,covid [15] tested,positive [15] covid,vaccine [12] covid,vaccines [11] during,covid [11] covid,test Top Word Pairs in Tweet in G2:
[27] during,covid [25] kept,country [25] country,moving [25] moving,during [24] calling,key [24] key,workers [24] workers,kept [24] covid,militant [24] militant,asking [22] peterstefanovi2,deputy Top Word Pairs in Tweet in G3:
[62] covid,19 [58] 19,vaccine [49] vaccine,mandates [49] mandates,straightforward [49] straightforward,violations [49] violations,medical [49] medical,ethics [49] ethics,failure [49] failure,matter [48] strauss_matt,covid Top Word Pairs in Tweet in G4:
[19] terrible,témoignage [19] témoignage,destruction [19] destruction,organisée [19] organisée,hôpital [19] hôpital,par [19] par,dr [19] dr,fouché [19] fouché,comment [19] comment,l'hôpital [19] l'hôpital,devenu Top Word Pairs in Tweet in G5:
[3] the_jedi_right,keltic_witch [2] ronfancy,shellyrkirchoff [2] trumplost5,jalan21813286 [2] jalan21813286,astragal [2] astragal,hamradiojoe [2] hamradiojoe,winthorpphd [2] carlbotha2,lanemonstertx61 [2] lanemonstertx61,tifaswindmill [2] tifaswindmill,howienudet [2] howienudet,itisjustmebabe Top Word Pairs in Tweet in G6:
[127] manuelrico,hoy [107] días,gobierno [107] aprobó,protocolo [106] protocolo,impedía [106] impedía,trasladar [106] trasladar,hospital [106] hospital,residentes [105] gobierno,ayuso [105] ayuso,aprobó [99] residentes,vulnerab Top Word Pairs in Tweet in G7:
[12] covid,19 [9] tested,positive [9] positive,covid [8] australian,government [8] side,effects [7] teachable,moment [7] government,admitted [7] admitted,79 [7] 79,000 [7] 000,side Top Word Pairs in Tweet in G8:
[30] vaccins,covid [25] covid,19 [20] intelligent,monde [20] monde,sait [20] sait,calmer [20] calmer,laisser [20] laisser,place [20] place,guerre [20] guerre,ukraine [15] covid,virus Top Word Pairs in Tweet in G9:
[84] jair,bolsonaro [84] bolsonaro,explains [84] explains,didn [84] didn,covid [84] covid,vaccine [84] vaccine,approach [84] approach,virus [83] tuckercarlson,jair [14] govbr,defendeu [14] defendeu,vidas Top Word Pairs in Tweet in G10:
[21] briefing,congress [21] congress,tuesday [21] tuesday,fl [21] fl,surgeon [21] surgeon,general [21] general,joseph [21] joseph,ladapo [21] ladapo,confirmed [21] confirmed,decision [21] decision,block Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
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:
Top Tweeters in G2:
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Top Tweeters in G9:
Top Tweeters in G10: