The graph represents a network of 11,409 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 Monday, 21 March 2022 at 08:38 UTC.
The requested start date was Monday, 21 March 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, 2-minute period from Thursday, 17 March 2022 at 12:17 UTC to Sunday, 20 March 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 : 11409
Unique Edges : 6342
Edges With Duplicates : 11296
Total Edges : 17638
Number of Edge Types : 5
Replies to : 1175
Retweet : 5153
MentionsInRetweet : 5957
Tweet : 3236
Mentions : 2117
Self-Loops : 3279
Reciprocated Vertex Pair Ratio : 0.00441226383075008
Reciprocated Edge Ratio : 0.00878576255913494
Connected Components : 3482
Single-Vertex Connected Components : 1046
Maximum Vertices in a Connected Component : 1250
Maximum Edges in a Connected Component : 2578
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 9.450864
Graph Density : 6.82115703787898E-05
Modularity : 0.577255
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,409 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 Monday, 21 March 2022 at 08:38 UTC.
The requested start date was Monday, 21 March 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, 2-minute period from Thursday, 17 March 2022 at 12:17 UTC to Sunday, 20 March 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:
[1797] covid,19 [236] long,covid [232] covid,deaths [207] positive,covid [184] covid,cases [132] tested,positive [129] mean,people [128] people,hit [128] hit,busses [128] busses,shouldn Top Word Pairs in Tweet in G1:
[298] covid,19 [19] positive,covid [18] contra,covid [16] long,covid [13] positivo,covid [12] changbin,covid [11] covid,cases [11] during,covid [10] namo,app [10] white,house Top Word Pairs in Tweet in G2:
[127] covid,deaths [125] mean,people [125] people,hit [125] hit,busses [125] busses,shouldn [125] shouldn,considered [125] considered,covid [124] donaldjtrumpjr,mean [34] covid,19 [26] breaking,fauci Top Word Pairs in Tweet in G3:
[50] covid,cases [45] zoe,app [41] trishgreenhalgh,zoe [40] uk,government [39] app,showing [39] showing,more [39] more,covid [39] cases,before [39] before,wonder [39] wonder,uk Top Word Pairs in Tweet in G4:
[39] covid,deaths [35] week,cdcgov [35] cdcgov,removed [35] removed,total [35] total,30 [35] 30,000 [35] 000,covid [35] deaths,dashboard [35] dashboard,reducing [35] reducing,pediatric Top Word Pairs in Tweet in G5:
[127] manuelrico,hoy [95] días,gobierno [95] gobierno,ayuso [95] ayuso,aprobó [95] aprobó,protocolo [95] protocolo,impedía [95] impedía,trasladar [95] trasladar,hospital [95] hospital,residentes [91] residentes,vulnerab Top Word Pairs in Tweet in G6:
[44] f_philippot,ils [44] ils,mettent [44] mettent,place [44] place,obligation [44] obligation,vaccinale [44] vaccinale,covid [44] covid,comme [44] comme,allemagne [44] allemagne,veut [44] veut,faire Top Word Pairs in Tweet in G7:
[70] marjorie,taylor [70] taylor,greene [70] greene,went [70] went,house [70] house,floor [70] floor,attack [70] attack,covid [70] covid,vaccines [70] vaccines,claiming [70] claiming,never Top Word Pairs in Tweet in G8:
[38] changbin,bbl [38] bbl,dont [38] dont,worry [38] worry,covid [38] covid,name [38] name,pain [38] pain,upset [38] upset,happened [37] seungm1ne,changbin [37] happened,fir Top Word Pairs in Tweet in G9:
[11] covid,19 [10] white,house [10] house,covid [6] dr,ashish [6] ashish,jha [5] 19,response [5] jeff,zients [5] paul,farmer [5] farmer,those [5] those,whose Top Word Pairs in Tweet in G10:
[27] ma,fille [25] elianecarrier,ma [23] fille,triple [23] triple,vaccinée [23] vaccinée,soignante [23] soignante,masquée [23] masquée,toute [23] toute,journée [23] journée,choppé [23] choppé,covid Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G7:
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:
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Top Mentioned in G5:
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Top Mentioned in G8:
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:
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Top Tweeters in G9:
Top Tweeters in G10: