The graph represents a network of 8,955 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 Tuesday, 13 September 2022 at 07:14 UTC.
The requested start date was Tuesday, 13 September 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, 22-minute period from Friday, 09 September 2022 at 11:55 UTC to Monday, 12 September 2022 at 12:17 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 : 8955
Unique Edges : 4249
Edges With Duplicates : 12312
Total Edges : 16561
Number of Edge Types : 5
Retweet : 5604
MentionsInRetweet : 6400
Mentions : 1628
Replies to : 520
Tweet : 2409
Self-Loops : 2459
Reciprocated Vertex Pair Ratio : 0.00416614063880823
Reciprocated Edge Ratio : 0.00829771184309781
Connected Components : 2179
Single-Vertex Connected Components : 898
Maximum Vertices in a Connected Component : 1733
Maximum Edges in a Connected Component : 3750
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 10.740625
Graph Density : 9.9197997781826E-05
Modularity : 0.528879
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,955 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 Tuesday, 13 September 2022 at 07:14 UTC.
The requested start date was Tuesday, 13 September 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, 22-minute period from Friday, 09 September 2022 at 11:55 UTC to Monday, 12 September 2022 at 12:17 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:
[5514] covid,19 [468] contra,covid [289] 19,vaccine [267] 24,horas [247] últimas,24 [239] ãƒ,ム[228] 19,venezuela [194] 52,nuevos [191] moderna,covid [190] nuevos,contagios Top Word Pairs in Tweet in G1:
[810] covid,19 [54] 19,pandemic [30] 19,vaccine [30] î,î [27] 19,vaccines [23] ãƒ,ム[22] contra,covid [22] 19,cases [15] september,2022 [15] due,covid Top Word Pairs in Tweet in G2:
[765] covid,19 [330] contra,covid [240] 24,horas [231] últimas,24 [216] 19,venezuela [191] 52,nuevos [179] nuevos,contagios [177] lucha,contra [165] venezuela,registra [154] contagios,últimas Top Word Pairs in Tweet in G3:
[146] covid,19 [110] found,one [110] one,covid [110] hospitalization,prevented [102] 18,98 [102] serious,adverse [101] harvard,john [101] john,hopkins [101] hopkins,study [101] study,found Top Word Pairs in Tweet in G4:
[77] royaume,uni [60] cardiologue,pédiatrique [60] pédiatrique,dit [54] sans,doute [54] doute,royaume [54] uni,savait [54] savait,déjà [54] déjà,cardiologue [54] dit,qu'il [54] qu'il,maintenant Top Word Pairs in Tweet in G5:
[124] international,medical [123] over,400 [123] 400,doctors [123] doctors,scientists [123] scientists,professionals [123] professionals,more [123] more,34 [123] 34,countries [123] countries,morning [123] morning,declared Top Word Pairs in Tweet in G6:
[55] covid,19 [49] armes,biologiques [34] csape,preuves [34] preuves,irréfutables [34] irréfutables,produits [34] produits,expérimentaux [34] expérimentaux,covid [34] 19,sont [30] sont,armes [24] biologiques,voir Top Word Pairs in Tweet in G7:
[121] covid,19 [23] risk,death [22] 19,patients [19] increased,risk [19] death,covid [19] patients,due [19] due,higher [19] higher,rates [19] rates,thromboses [19] thromboses,contributed Top Word Pairs in Tweet in G8:
[81] covid,19 [32] 19,deaths [30] recently,averaged [30] averaged,320 [30] 320,covid [30] deaths,each [30] each,day [30] day,average [30] average,above [30] above,400 Top Word Pairs in Tweet in G9:
[68] międzynarodowy,kryzys [66] kryzys,medyczny [62] medyczny,powodu [61] powodu,chorób [59] lekarze,naukowcy [59] naukowcy,całego [59] całego,świata [59] świata,deklarujemy [59] deklarujemy,że [59] że,istnieje Top Word Pairs in Tweet in G10:
[61] vaksinasi,booster [60] jika,data [60] data,pribadi [60] pribadi,yg [60] yg,diungkap [60] diungkap,bjorka [60] bjorka,benar [60] benar,bbrp [60] bbrp,pejabat [60] pejabat,tinggi Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: