The graph represents a network of 10,497 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, 15 February 2021 at 08:18 UTC.
The requested start date was Monday, 15 February 2021 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 3-day, 0-hour, 2-minute period from Thursday, 11 February 2021 at 13:42 UTC to Sunday, 14 February 2021 at 13:45 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 : 10497
Unique Edges : 6280
Edges With Duplicates : 13858
Total Edges : 20138
Number of Edge Types : 5
Tweet : 3359
Retweet : 5609
MentionsInRetweet : 7859
Replies to : 483
Mentions : 2828
Self-Loops : 3407
Reciprocated Vertex Pair Ratio : 0.00674013052316251
Reciprocated Edge Ratio : 0.0133900106269926
Connected Components : 3121
Single-Vertex Connected Components : 1040
Maximum Vertices in a Connected Component : 668
Maximum Edges in a Connected Component : 4258
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 6.936347
Graph Density : 8.5408403562458E-05
Modularity : 0.52351
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 10,497 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, 15 February 2021 at 08:18 UTC.
The requested start date was Monday, 15 February 2021 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 3-day, 0-hour, 2-minute period from Thursday, 11 February 2021 at 13:42 UTC to Sunday, 14 February 2021 at 13:45 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:
[6740] covid,19 [650] contra,covid [277] 19,vaccine [268] prevención,conciencia [265] conciencia,pueblo [264] pueblo,junto [245] junto,tratamientos [239] #preveniresvencer,prevención [234] etiqueta,día [232] día,#preveniresvencer Top Word Pairs in Tweet in G1:
[894] covid,19 [54] contra,covid [52] 19,vaccine [20] 19,pandemic [17] 19,cases [17] 19,vaccines [15] 19,vaccination [13] against,covid [13] #covid,19 [12] 19,em Top Word Pairs in Tweet in G2:
[449] covid,19 [229] prevención,conciencia [226] conciencia,pueblo [225] pueblo,junto [211] #preveniresvencer,prevención [211] junto,tratamientos [205] mippcivzla,ccsn0ticias [205] ccsn0ticias,sunagrove [205] sunagrove,rafadominguezf [205] rafadominguezf,erikapsuv Top Word Pairs in Tweet in G3:
[147] covid,19 [36] prime,minister [36] minister,jacinda [36] jacinda,ardern [36] ardern,auckland [36] auckland,enter [36] enter,three [36] three,day [36] day,lockdown [36] lockdown,zealand Top Word Pairs in Tweet in G4:
[107] covid,19 [38] seule,dose [31] personnes,ayant [31] ayant,déjà [31] below,one [31] one,first [31] first,time [31] time,july [21] haute,autorité [21] autorité,santé Top Word Pairs in Tweet in G5:
[55] covid,19 [10] fight,against [10] against,covid [10] china,destroyed [10] destroyed,2020 [10] 2020,covid [10] 19,again [10] again,2021 [10] 2021,teaming [10] teaming,junta Top Word Pairs in Tweet in G6:
[40] covid,19 [29] prevención,conciencia [29] conciencia,pueblo [29] pueblo,junto [25] contra,covid [25] etiqueta,día [25] día,#preveniresvencer [25] junto,tratamientos [22] #preveniresvencer,prevención [18] #14feb,etiqueta Top Word Pairs in Tweet in G7:
[114] 速報,104歳祖母 [114] 104歳祖母,covid [114] covid,19より生還 [114] 19より生還,退院決まる [113] mohamin_med,速報 Top Word Pairs in Tweet in G8:
[47] covid,19 [9] sole,sourced [9] #covid19,vaccination [7] public,health [7] federal,government [7] sourced,consulting [7] consulting,contract [7] contract,deloitte [7] deloitte,support [7] prime,minister Top Word Pairs in Tweet in G9:
[86] covid,19 [61] contra,covid [27] estados,unidos [25] millón,dosis [25] dosis,iniciales [25] iniciales,farmacias [25] farmacias,estados [25] unidos,comenzarán [25] comenzarán,vacunar [25] vacunar,contra Top Word Pairs in Tweet in G10:
[101] covid,19 [29] 19,venezuela [24] pueden,ocultar [24] ocultar,frustración [24] frustración,control [24] control,covid [24] venezuela,digno [24] digno,antología [24] antología,periodismo [24] periodismo,necrófilo Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: