The graph represents a network of 11,797 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 Friday, 03 December 2021 at 08:58 UTC.
The requested start date was Friday, 03 December 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 2-day, 0-hour, 1-minute period from Tuesday, 30 November 2021 at 12:18 UTC to Thursday, 02 December 2021 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 : 11797
Unique Edges : 6594
Edges With Duplicates : 11898
Total Edges : 18492
Number of Edge Types : 5
Retweet : 5395
MentionsInRetweet : 6068
Tweet : 3542
Replies to : 1010
Mentions : 2477
Self-Loops : 3594
Reciprocated Vertex Pair Ratio : 0.00600109110747409
Reciprocated Edge Ratio : 0.0119305856832972
Connected Components : 3582
Single-Vertex Connected Components : 973
Maximum Vertices in a Connected Component : 1098
Maximum Edges in a Connected Component : 2332
Maximum Geodesic Distance (Diameter) : 36
Average Geodesic Distance : 11.775635
Graph Density : 6.62559030632159E-05
Modularity : 0.576138
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,797 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 Friday, 03 December 2021 at 08:58 UTC.
The requested start date was Friday, 03 December 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 2-day, 0-hour, 1-minute period from Tuesday, 30 November 2021 at 12:18 UTC to Thursday, 02 December 2021 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:
[2246] covid,19 [257] omicron,variant [231] positive,covid [206] tested,positive [148] covid,vaccine [146] contra,covid [121] south,africa [121] covid,death [120] 19,vaccine [114] trump,tested Top Word Pairs in Tweet in G1:
[300] covid,19 [34] omicron,variant [23] positive,covid [22] covid,variant [21] contra,covid [19] covid,test [15] tested,positive [12] pasaporte,covid [11] days,before [11] trump,tested Top Word Pairs in Tweet in G2:
[38] vaccine,passports [38] prisonplanet,germany [37] covid,vaccine [35] covid,death [34] germany,reports [34] reports,highest [34] highest,covid [34] death,toll [34] toll,months [34] months,mandatory Top Word Pairs in Tweet in G3:
[101] omicron,variant [76] variant,appears [74] south,africa [73] politicsforali,breaking [73] covid,death [72] super,mild [71] breaking,omicron [71] appears,super [71] mild,mutation [71] mutation,covid Top Word Pairs in Tweet in G4:
[23] covid,19 [14] 125,crore [8] crore,covid [8] vaccine,doses [8] pm,narendramodi [7] another,milestone [7] during,covid [7] crore,vaccines [7] fight,against [7] against,covid Top Word Pairs in Tweet in G5:
[28] ceux,disent [28] disent,exagérez [28] exagérez,rappelez [28] rappelez,leur [28] leur,qu [28] qu,moins [28] moins,#passsanitaire [28] #passsanitaire,était [27] f_philippot,ceux [27] était,fantasm Top Word Pairs in Tweet in G6:
[12] covid,19 [11] sans,conflits [9] #covid19,temps [9] temps,d'ouvrir [9] d'ouvrir,debats [9] debats,c'est [9] c'est,cela [9] cela,démocratie [9] démocratie,intervenants [9] intervenants,sans Top Word Pairs in Tweet in G7:
[17] long,covid [15] covid,19 [12] imagine,omicron [12] omicron,bad [12] bad,end [12] end,achieving [12] achieving,implementing [12] implementing,mitigations [12] mitigations,reducing [12] reducing,cases Top Word Pairs in Tweet in G8:
[68] christmas,party [63] covid,rules [61] broke,covid [58] 489,people [56] downing,street [55] 18,dec [55] dec,downing [55] street,staff [55] staff,broke [55] rules,boozing Top Word Pairs in Tweet in G9:
[28] three,days [27] mark,meadows [27] trump,tested [27] tested,positive [27] days,before [24] marcus,lamb [24] daystar,television [20] occupydemocrats,breaking [18] covid,19 [15] positive,covid Top Word Pairs in Tweet in G10:
[31] belgium,court [31] court,ruled [31] ruled,use [31] use,covid [31] covid,pass [31] pass,illegal [31] illegal,ordered [31] ordered,local [31] local,government [31] government,pay Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: