The graph represents a network of 4,962 Twitter users whose tweets in the requested range contained "DOVE (Coronavirus OR COVID-19 OR COVID19 OR corona OR COVID)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 May 2020 at 07:51 UTC.
The requested start date was Tuesday, 12 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 8-hour, 23-minute period from Thursday, 07 May 2020 at 08:40 UTC to Monday, 11 May 2020 at 17:04 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 : 4962
Unique Edges : 2069
Edges With Duplicates : 7600
Total Edges : 9669
Number of Edge Types : 5
Mentions : 714
Tweet : 846
Retweet : 3701
MentionsInRetweet : 4015
Replies to : 393
Self-Loops : 875
Reciprocated Vertex Pair Ratio : 0.00938967136150235
Reciprocated Edge Ratio : 0.0186046511627907
Connected Components : 842
Single-Vertex Connected Components : 454
Maximum Vertices in a Connected Component : 3219
Maximum Edges in a Connected Component : 7461
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.434019
Graph Density : 0.000200881669444074
Modularity : 0.492938
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 4,962 Twitter users whose tweets in the requested range contained "DOVE (Coronavirus OR COVID-19 OR COVID19 OR corona OR COVID)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 May 2020 at 07:51 UTC.
The requested start date was Tuesday, 12 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 8-hour, 23-minute period from Thursday, 07 May 2020 at 08:40 UTC to Monday, 11 May 2020 at 17:04 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 : DOVE (Coronavirus OR COVID-19 OR COVID19 OR corona OR 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:
[529] morti,covid [519] non,fare [516] sui,morti [515] ecco,circolare [515] circolare,dove [515] dove,ministero [515] ministero,sanità [515] sanità,ordinava [515] ordinava,non [515] fare,autopsie Top Word Pairs in Tweet in G1:
[309] #risorsainps,africano [308] incredibile,napoli [308] napoli,pochi [308] pochi,metri [308] metri,dove [308] dove,stata [308] stata,violentata [308] violentata,ragazza [308] ragazza,giorni [308] giorni,fa Top Word Pairs in Tweet in G2:
[447] ecco,circolare [447] circolare,dove [447] dove,ministero [447] ministero,sanità [447] sanità,ordinava [447] ordinava,non [447] non,fare [447] fare,autopsie [447] autopsie,sui [447] sui,morti Top Word Pairs in Tweet in G3:
[33] covid,19 [32] dove,sono [20] test,sierologici [18] ci,sono [18] ecco,dove [15] non,ci [13] dove,non [12] ma,dove [12] coronavirus,dove [11] non,sono Top Word Pairs in Tweet in G4:
[152] nasce,veneto [152] veneto,prima [152] prima,banca [152] banca,plasma [152] plasma,all'azienda [152] all'azienda,ospedaliera [152] ospedaliera,padova [152] padova,dove [152] dove,l'équipe [152] l'équipe,dell'immunologa Top Word Pairs in Tweet in G5:
[76] dove,vanno [76] vanno,pescare [76] pescare,soldi [76] soldi,crisi [76] crisi,dovuta [76] dovuta,#covid [76] #covid,ma [76] ma,dalle [76] dalle,pensioni [76] pensioni,dicono Top Word Pairs in Tweet in G6:
[131] 37,352 [131] 352,sono [131] sono,persone [131] persone,hanno [131] hanno,contratto [131] contratto,#covid_19 [131] #covid_19,#lavoro [131] #lavoro,tra [131] tra,febbraio [131] febbraio,aprile Top Word Pairs in Tweet in G7:
[256] natura,non [128] dove,stanno [128] stanno,gli [128] gli,italiani [128] italiani,cui [128] cui,gli [128] gli,stranieri [128] stranieri,toglievano [128] toglievano,lavoro [128] lavoro,natura Top Word Pairs in Tweet in G8:
[64] color,pannolino [63] salvini,luca [63] luca,miei [63] miei,occhiali [63] occhiali,sono [63] sono,color [63] pannolino,pensi [63] pensi,alla [63] alla,sanità [63] sanità,campana Top Word Pairs in Tweet in G9:
[85] non,ho [85] ho,parole [85] parole,quasi [85] quasi,15 [85] 15,mila [85] mila,morti [85] morti,#lombardia [85] #lombardia,non [85] non,aver [85] aver,praticamente Top Word Pairs in Tweet in G10:
[26] controlli,dove [26] dove,sono [19] ai,navigli [18] folla,ai [18] navigli,all'ora [14] ma,controlli [12] così,tra [12] tra,settimana [12] settimana,chiude [12] chiude,tutto Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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: