The graph represents a network of 16,613 Twitter users whose recent tweets contained "#coronarvirusitalia", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 15 March 2020 at 02:33 UTC.
The tweets in the network were tweeted over the 10-hour, 16-minute period from Saturday, 14 March 2020 at 15:45 UTC to Sunday, 15 March 2020 at 02:02 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 : 16613
Unique Edges : 18785
Edges With Duplicates : 1792
Total Edges : 20577
Number of Edge Types : 5
Retweet : 13510
MentionsInRetweet : 2647
Tweet : 3088
Replies to : 352
Mentions : 980
Self-Loops : 3151
Reciprocated Vertex Pair Ratio : 0.000943563130270685
Reciprocated Edge Ratio : 0.00188534731632593
Connected Components : 2109
Single-Vertex Connected Components : 1531
Maximum Vertices in a Connected Component : 13136
Maximum Edges in a Connected Component : 16672
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.665533
Graph Density : 6.1501912875085E-05
Modularity : 0.763285
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 16,613 Twitter users whose recent tweets contained "#coronarvirusitalia", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 15 March 2020 at 02:33 UTC.
The tweets in the network were tweeted over the 10-hour, 16-minute period from Saturday, 14 March 2020 at 15:45 UTC to Sunday, 15 March 2020 at 02:02 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 : TwitterSearch
Graph Term : #coronarvirusitalia
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:
[5260] #coronarvirusitalia,#coronaoutbreak [5166] #estadodealarma,#coronarvirusitalia [5162] italy,#covid_19 [5161] meanwhile,italy [5161] #covid_19,#estadodealarma [1700] #coronarvirusitalia,#covid_19italia [1415] #covid_19italia,#coronarvirusitalia [823] #orgoglioitaliano,#coronarvirusitalia [808] #coronavirus,#coronarvirusitalia [697] #flashmob,#coronarvirusitalia Top Word Pairs in Tweet in G1:
[5155] meanwhile,italy [5155] italy,#covid_19 [5155] #covid_19,#estadodealarma [5155] #estadodealarma,#coronarvirusitalia [5155] #coronarvirusitalia,#coronaoutbreak Top Word Pairs in Tweet in G2:
[237] #covid_19italia,#coronarvirusitalia [150] #covidー19,#coronarvirusitalia [132] #coronarvirusitalia,#andratuttobene [129] #coronavirus,#coronarvirusitalia [126] #coronarvirusitalia,#covidー19 [89] #coronarvirusitalia,#coronavirus [89] #coronarvirusitalia,#covid_19italia [73] #covidー19,#coronavirus [47] #coronarvirusitalia,#iorestoincasa [41] #covid_19italia,#covidー19 Top Word Pairs in Tweet in G3:
[205] #covid_19italia,#coronarvirusitalia [199] #coronarvirusitalia,#flashmobsonoro [193] #coronarvirusitalia,#coronavirus [164] #orgoglioitaliano,#coronarvirusitalia [161] #flashmobsonoro,#flashmob [149] #andratuttobene,#orgoglioitaliano [126] farà,sgorgare [126] sgorgare,lacrime [126] lacrime,grazie [126] grazie,italia Top Word Pairs in Tweet in G4:
[205] #covid_19italia,#covidー19 [187] #lnews,#coronarvirusitalia [187] #covid_19,#covid19 [186] guido,bertolaso [185] #coronarvirusitalia,coronavirus [185] coronavirus,guido [185] bertolaso,consulente [185] consulente,presidente [185] presidente,fontana [185] fontana,#fermiamoloinsieme Top Word Pairs in Tweet in G5:
[233] #coronavirus,#coronarvirusitalia [225] fiera,milano [224] #coronarvirusitalia,#covid_19 [223] aiutatemi,far [223] far,girare [223] girare,questo [223] questo,appello [223] appello,nicola [223] nicola,porro [223] porro,affinché Top Word Pairs in Tweet in G6:
[542] #coronarvirusitalia,#covid_19italia [531] #orgoglioitaliano,#coronarvirusitalia [516] donatori,sangue [516] sangue,napoli [516] napoli,cantano [516] cantano,coi [516] coi,medici [516] medici,voi [516] voi,siete [516] siete,nostro Top Word Pairs in Tweet in G7:
[528] #flashmob,#coronarvirusitalia [523] fai,rumore [521] italians,singing [521] singing,loud [521] loud,italy's [521] italy's,eurovision [521] eurovision,entry [521] entry,fai [521] rumore,diodato [521] diodato,being Top Word Pairs in Tweet in G8:
[282] people,rome [282] rome,italy [282] italy,came [282] came,together [282] together,play [282] play,italian [282] italian,anthem [282] anthem,pm [282] pm,balconies [282] balconies,patios Top Word Pairs in Tweet in G9:
[70] uscire,casa [64] #covid_19italia,#coronarvirusitalia [57] cina,cuba [56] arriveranno,forse [56] forse,#lombardia [56] #lombardia,medici [56] medici,#cuba [56] #cuba,capito [56] capito,cuba [56] cuba,cina Top Word Pairs in Tweet in G10:
[360] #coronarvirusitalia,#covid_19italia [332] oltre,mila [332] mila,persone [332] persone,hanno [332] hanno,infranto [332] infranto,legge [332] legge,uscendo [332] uscendo,casa [332] casa,fare [332] fare,festa Top Replied-To in Entire Graph:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: