The graph represents a network of 8,808 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 Tuesday, 30 November 2021 at 11:50 UTC.
The requested start date was Tuesday, 30 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, 7-minute period from Friday, 26 November 2021 at 12:18 UTC to Monday, 29 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 : 8808
Unique Edges : 3934
Edges With Duplicates : 12267
Total Edges : 16201
Number of Edge Types : 5
Mentions : 1310
Retweet : 5486
MentionsInRetweet : 6008
Tweet : 3023
Replies to : 374
Self-Loops : 3066
Reciprocated Vertex Pair Ratio : 0.0033955857385399
Reciprocated Edge Ratio : 0.00676818950930626
Connected Components : 2363
Single-Vertex Connected Components : 990
Maximum Vertices in a Connected Component : 2647
Maximum Edges in a Connected Component : 6595
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.231721
Graph Density : 9.14246748855026E-05
Modularity : 0.498657
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,808 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 Tuesday, 30 November 2021 at 11:50 UTC.
The requested start date was Tuesday, 30 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, 7-minute period from Friday, 26 November 2021 at 12:18 UTC to Monday, 29 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:
[843] coronavirus,variant [602] covid,19 [553] urgente,coronavirus [511] nueva,variante [502] alertanews24,urgente [476] omicron,variant [387] south,africa [354] omicron,coronavirus [343] variante,coronavirus [306] variant,coronavirus Top Word Pairs in Tweet in G1:
[82] covid,19 [81] omicron,variant [74] coronavirus,variant [42] nueva,variante [37] variante,coronavirus [35] variante,ómicron [30] variant,coronavirus [25] variant,omicron [23] south,africa [23] ómicron,coronavirus Top Word Pairs in Tweet in G2:
[533] urgente,coronavirus [486] alertanews24,urgente [169] nueva,variante [155] variante,omicron [124] variante,coronavirus [111] riesgo,global [97] variante,ómicron [78] coronavirus,japón [75] cierra,frontera [71] frontera,extranjeros Top Word Pairs in Tweet in G3:
[134] coronavirus,variant [129] spectatorindex,breaking [115] 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:
[207] coronavirus,variant [91] bnodesk,breaking [83] due,coronavirus [57] south,africa [52] cases,coronavirus [50] closes,border [47] border,foreigners [47] foreigners,due [44] variant,529 [42] breaking,israel Top Word Pairs in Tweet in G5:
[31] coronavirus,variant [20] covid,variant [19] covid,19 [18] variant,'omicron' [17] #omicronvariant,#coronavirus [14] 19,variant [13] around,world [13] #coronavirus,#covid19 [12] omicron,variant [12] #omicron,#omicronvariant Top Word Pairs in Tweet in G6:
[53] coronavirus,variant [42] cases,omicron [38] variant,identified [38] omicron,coronavirus [35] 13,cases [34] identified,portugal [34] portugal,officials [34] officials,cases [34] cases,linked [33] nytimes,13 Top Word Pairs in Tweet in G7:
[63] nueva,variante [42] variante,#coronavirus [28] alerta,nueva [26] #alemania,lanza [26] lanza,operación [26] operación,aviones [26] aviones,#uci [26] #uci,debido [26] debido,saturación [26] saturación,hospitales Top Word Pairs in Tweet in G8:
[68] sterilizing,vaccine [68] vaccine,animal [68] animal,reservoirs [68] reservoirs,focused [68] focused,quarantine [68] quarantine,positive [68] positive,cases [68] cases,public [68] public,health [67] drjbhattacharya,sterilizing Top Word Pairs in Tweet in G9:
[83] wait,inflation [83] inflation,global [83] global,phenomenon [83] phenomenon,joe [83] joe,biden [83] biden,fault [83] fault,shocked [83] shocked,gop [83] gop,acting [83] acting,such Top Word Pairs in Tweet in G10:
[49] omicron,variant [34] covid,19 [24] south,africa [24] health,officials [22] coronavirus,variant [22] variant,covid [22] 19,raising [22] raising,concerns [22] concerns,health [22] officials,amid 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: