The graph represents a network of 6,025 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, 11 August 2020 at 07:57 UTC.
The requested start date was Tuesday, 11 August 2020 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 13-day, 10-hour, 26-minute period from Tuesday, 28 July 2020 at 00:16 UTC to Monday, 10 August 2020 at 10:42 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 : 6025
Unique Edges : 3305
Edges With Duplicates : 8804
Total Edges : 12109
Number of Edge Types : 5
Replies to : 920
Mentions : 1104
Tweet : 1194
Retweet : 4159
MentionsInRetweet : 4732
Self-Loops : 1230
Reciprocated Vertex Pair Ratio : 0.00727441572511995
Reciprocated Edge Ratio : 0.0144437615242778
Connected Components : 1016
Single-Vertex Connected Components : 523
Maximum Vertices in a Connected Component : 3872
Maximum Edges in a Connected Component : 9398
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.760957
Graph Density : 0.000179310420833953
Modularity : 0.503305
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 6,025 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, 11 August 2020 at 07:57 UTC.
The requested start date was Tuesday, 11 August 2020 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 13-day, 10-hour, 26-minute period from Tuesday, 28 July 2020 at 00:16 UTC to Monday, 10 August 2020 at 10:42 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:
[559] dove,sono [375] centro,dove [337] dal,centro [336] dove,erano [328] ultim'ora,scappano [328] scappano,aggrediscono [328] aggrediscono,infettano [328] infettano,ragusa [328] ragusa,altri [328] altri,28 Top Word Pairs in Tweet in G1:
[75] covid,19 [50] dove,sono [41] ecco,dove [24] dove,non [21] ci,sono [17] sono,stati [17] nuovi,casi [14] dove,ci [14] covid,non [13] nuovi,focolai Top Word Pairs in Tweet in G2:
[182] dove,sono [174] raggi,uv [173] dai,raggi [172] sono,quelli [172] quelli,#coronavirus [172] #coronavirus,inattivato [172] inattivato,dal [172] dal,caldo [172] caldo,dai [172] uv,#covid__19 Top Word Pairs in Tweet in G3:
[226] centro,dove [224] dove,erano [223] ultim'ora,scappano [223] scappano,aggrediscono [223] aggrediscono,infettano [223] infettano,ragusa [223] ragusa,altri [223] altri,28 [223] 28,clandestini [223] clandestini,fuga Top Word Pairs in Tweet in G4:
[76] dove,sono [60] ma,dove [52] tutti,gli [51] sono,finiti [50] finiti,tutti [49] #covid19,ehi [49] ehi,min [49] min,#lamorgese [49] #lamorgese,ma [49] gli,elicotteri Top Word Pairs in Tweet in G5:
[111] bruxelles,c'ã [111] c'ã,mappa [111] mappa,delle [111] delle,vie [111] vie,dove [111] dove,deve [111] deve,mettere [111] mettere,mascherina [111] mascherina,㈠[111] ãˆ,virus Top Word Pairs in Tweet in G6:
[212] caserma,serena [193] serena,treviso [193] treviso,conseguenza [193] conseguenza,dei [193] dei,decreti [193] decreti,sicurezza [193] sicurezza,fine [193] fine,dell [193] dell,accoglienza [193] accoglienza,diffusa Top Word Pairs in Tweet in G7:
[65] ci,sono [56] sono,stati [54] dove,ci [53] fuga,notturna [53] notturna,hotel [53] hotel,villa [53] villa,sikiania [53] sikiania,siculiana [53] siculiana,dove [53] stati,episodi Top Word Pairs in Tweet in G8:
[48] buone,vacanze [48] vacanze,italia [48] italia,dove [48] dove,tutto [48] tutto,㈠[48] ãˆ,pagato [48] pagato,co [48] co,o69iottz0o [47] #pericololorenzin,sentenza [47] sentenza,ci Top Word Pairs in Tweet in G9:
[133] inizia,sgretolarsi [133] sgretolarsi,terreno [133] terreno,stralcio [133] stralcio,verbale [133] verbale,numero [133] numero,16 [133] 16,comitato [133] comitato,tecnico [133] tecnico,scientifico [133] scientifico,marzo Top Word Pairs in Tweet in G10:
[37] dove,lega [35] dove,siete [34] #coronavirus,bollettino [34] bollettino,oggi [34] oggi,28 [34] 28,luglio [34] luglio,11 [34] 11,morti [34] morti,181 [34] 181,contagi Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: