The graph represents a network of 8,855 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 29 November 2021 at 10:27 UTC.
The requested start date was Monday, 29 November 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, 12-minute period from Thursday, 25 November 2021 at 12:12 UTC to Sunday, 28 November 2021 at 12:25 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 : 8855
Unique Edges : 3927
Edges With Duplicates : 12412
Total Edges : 16339
Number of Edge Types : 5
Replies to : 372
Tweet : 2939
Retweet : 5578
MentionsInRetweet : 6093
Mentions : 1357
Self-Loops : 2983
Reciprocated Vertex Pair Ratio : 0.00373702422145329
Reciprocated Edge Ratio : 0.00744622173193602
Connected Components : 2270
Single-Vertex Connected Components : 962
Maximum Vertices in a Connected Component : 2636
Maximum Edges in a Connected Component : 6433
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 7.66796
Graph Density : 9.24974398030054E-05
Modularity : 0.501726
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,855 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 29 November 2021 at 10:27 UTC.
The requested start date was Monday, 29 November 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, 12-minute period from Thursday, 25 November 2021 at 12:12 UTC to Sunday, 28 November 2021 at 12:25 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 : Coronavirus
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:
[943] coronavirus,variant [684] nueva,variante [659] covid,19 [516] variante,coronavirus [487] south,africa [410] urgente,coronavirus [372] alertanews24,urgente [236] omicron,variant [198] variant,coronavirus [176] omicron,coronavirus Top Word Pairs in Tweet in G1:
[92] covid,19 [81] coronavirus,variant [50] nueva,variante [48] variante,coronavirus [45] omicron,variant [27] south,africa [21] #covid19,#coronavirus [20] contra,coronavirus [18] southern,africa [17] variant,coronavirus Top Word Pairs in Tweet in G2:
[379] urgente,coronavirus [340] alertanews24,urgente [150] nueva,variante [81] variante,coronavirus [48] primer,caso [46] coronavirus,militares [46] militares,alemanes [46] alemanes,reciben [46] reciben,orden [46] orden,preparar Top Word Pairs in Tweet in G3:
[156] coronavirus,variant [114] spectatorindex,breaking [107] omicron,coronavirus [90] chairwoman,south [90] south,african [90] african,medical [90] medical,association [89] association,omicron [89] variant,causing [89] causing,'mild Top Word Pairs in Tweet in G4:
[251] coronavirus,variant [90] bnodesk,breaking [75] cases,coronavirus [73] due,coronavirus [61] variant,529 [54] south,africa [52] breaking,israel [49] belgium,reports [47] reports,suspected [47] suspected,cases Top Word Pairs in Tweet in G5:
[80] coronavirus,variant [67] south,africa [54] covid,19 [35] identified,south [30] omicron,variant [24] variant,covid [24] 19,raising [24] raising,concerns [24] concerns,health [24] health,officials Top Word Pairs in Tweet in G6:
[70] nueva,variante [58] variante,coronavirus [26] vacuna,pfizer [18] última,hora [18] agencia,europea [18] europea,medicamentos [17] coronavirus,europa [17] detectada,sudáfrica [17] #25nov,#coronavirus [16] países,pobres Top Word Pairs in Tweet in G7:
[98] nueva,variante [70] variante,coronavirus [38] #alemania,lanza [38] lanza,operación [38] operación,aviones [38] aviones,#uci [38] #uci,debido [38] debido,saturación [38] saturación,hospitales [38] hospitales,4ª Top Word Pairs in Tweet in G8:
[16] 13,15 [16] 15,uur [16] uur,geeft [16] jonge,toelichting [16] toelichting,over [12] zuid,afrika [10] minister,volksgezondheid [9] uit,zuid [9] coronavariant,omikron [8] ema,geeft Top Word Pairs in Tweet in G9:
[53] south,africa [38] travel,south [31] moved,restrict [28] growing,number [28] number,countries [28] countries,moved [28] restrict,travel [28] africa,nearby [28] nearby,nations [28] nations,over Top Word Pairs in Tweet in G10:
[29] coronavirus,variant [17] breaking,israel [17] israel,reports [17] reports,first [16] first,confirmed [16] confirmed,case [16] case,#b11529 [16] #b11529,coronavirus [16] variant,traveler [16] traveler,flew Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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: