The graph represents a network of 12,260 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, 15 January 2022 at 08:40 UTC.
The requested start date was Saturday, 15 January 2022 at 01:01 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, 0-minute period from Wednesday, 12 January 2022 at 12:18 UTC to Friday, 14 January 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 : 12260
Unique Edges : 7106
Edges With Duplicates : 11615
Total Edges : 18721
Number of Edge Types : 5
Retweet : 5351
MentionsInRetweet : 6143
Mentions : 2431
Tweet : 3804
Replies to : 992
Self-Loops : 3842
Reciprocated Vertex Pair Ratio : 0.00420530515419452
Reciprocated Edge Ratio : 0.00837538924084613
Connected Components : 3982
Single-Vertex Connected Components : 1076
Maximum Vertices in a Connected Component : 609
Maximum Edges in a Connected Component : 1166
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 8.819966
Graph Density : 6.1964662377423E-05
Modularity : 0.583734
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 12,260 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, 15 January 2022 at 08:40 UTC.
The requested start date was Saturday, 15 January 2022 at 01:01 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, 0-minute period from Wednesday, 12 January 2022 at 12:18 UTC to Friday, 14 January 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:
[1858] covid,19 [187] contra,covid [183] positive,covid [180] covid,cases [156] tested,positive [108] covid,positive [100] boris,johnson [90] long,covid [89] covid,rules [75] tengo,covid Top Word Pairs in Tweet in G1:
[269] covid,19 [16] covid,cases [15] contra,covid [15] teste,covid [14] positive,covid [13] tested,positive [12] pra,covid [10] 19,vaccine [9] casos,covid [9] pegar,covid Top Word Pairs in Tweet in G2:
[45] covid,19 [19] chief,ministers [18] 19,situation [16] uppsc,mains [13] remarks,interaction [13] interaction,chief [13] ministers,covid [10] postpone,uppsc [10] mains,2021 [10] न,क Top Word Pairs in Tweet in G3:
[17] européenne,médicament [16] covid,19 [14] contre,covid [12] plus,tard [10] agence,européenne [10] médicament,vaccinations [10] vaccinations,répétées [10] répétées,contre [10] covid,pourraient [10] pourraient,affaiblir Top Word Pairs in Tweet in G4:
[20] vip,lane [17] covid,19 [12] running,country [11] british,governments [11] governments,covid [11] covid,contract [11] contract,vip [11] lane,found [11] found,corrupt [11] corrupt,liars Top Word Pairs in Tweet in G5:
[69] covid,cases [62] tested,positive [54] positive,covid [45] postpone,bds [45] bds,exams [38] students,tested [34] covid,19 [31] request,postpone [27] knruhs,bds [26] postpone,exams Top Word Pairs in Tweet in G6:
[33] covid,19 [22] 12,oclock [11] scott,cancell [11] cancell,democracy [11] democracy,tomorrow [11] tomorrow,12 [11] oclock,causing [11] causing,spread [11] spread,covid [11] covid,australians Top Word Pairs in Tweet in G7:
[39] chá,revelação [39] revelação,saber [39] saber,covid [39] covid,gripe [39] gripe,rinite [38] sirlucasmatheus,chá [21] será,sou [21] sou,imune [21] imune,será [21] será,estou Top Word Pairs in Tweet in G8:
[61] covid,19 [26] contra,covid [14] casos,covid [13] nuevos,casos [10] detectados,últimas [10] últimas,24 [10] 24,horas [10] horas,autoridades [9] autoridades,sanitarias [8] pdte,nicolasmaduro Top Word Pairs in Tweet in G9:
[11] covid,19 [9] covid,cases [6] incredible,goal [6] goal,moving [6] moving,joe [6] joe,rogan [6] rogan,getting [6] getting,fact [6] fact,checked [6] checked,live Top Word Pairs in Tweet in G10:
[14] morts,covid [13] covid,par [13] par,million [13] million,habitants [13] habitants,france [13] france,1889 [13] 1889,suède [13] suède,1520 [13] 1520,suède [13] suède,tous Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: