The graph represents a network of 6,688 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 Thursday, 08 October 2020 at 07:59 UTC.
The requested start date was Tuesday, 06 October 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, 22-hour, 53-minute period from Tuesday, 22 September 2020 at 00:29 UTC to Monday, 05 October 2020 at 23:22 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 : 6688
Unique Edges : 3597
Edges With Duplicates : 9485
Total Edges : 13082
Number of Edge Types : 5
Retweet : 4453
MentionsInRetweet : 4984
Mentions : 1265
Tweet : 1405
Replies to : 975
Self-Loops : 1451
Reciprocated Vertex Pair Ratio : 0.00917431192660551
Reciprocated Edge Ratio : 0.0181818181818182
Connected Components : 1213
Single-Vertex Connected Components : 672
Maximum Vertices in a Connected Component : 4179
Maximum Edges in a Connected Component : 10006
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.276819
Graph Density : 0.000154955018771694
Modularity : 0.515657
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,688 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 Thursday, 08 October 2020 at 07:59 UTC.
The requested start date was Tuesday, 06 October 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, 22-hour, 53-minute period from Tuesday, 22 September 2020 at 00:29 UTC to Monday, 05 October 2020 at 23:22 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:
[552] hanno,vietato [525] covid,19 [388] anti,covid [283] covid,hanno [276] tutti,svizzera [276] farmaco,anti [276] vietato,italia [276] italia,italia [276] italia,hanno [275] svizzera,idrossiclorochina Top Word Pairs in Tweet in G1:
[204] bello,pure [204] pure,volo [204] volo,covid [204] covid,free [204] free,fiumicino [204] fiumicino,bella [204] bella,ravanata [204] ravanata,nel [204] nel,naso [204] naso,prima Top Word Pairs in Tweet in G2:
[73] covid,19 [54] ecco,dove [53] dove,sono [27] ci,sono [23] dove,non [20] andare,dove [20] ecco,come [20] mondiale,crolla [20] crolla,dove [20] dove,cina Top Word Pairs in Tweet in G3:
[432] hanno,vietato [216] tutti,svizzera [216] svizzera,idrossiclorochina [216] idrossiclorochina,farmaco [216] farmaco,anti [216] anti,covid [216] covid,hanno [216] vietato,italia [216] italia,italia [216] italia,hanno Top Word Pairs in Tweet in G4:
[128] dove,hanno [127] questi,li [127] li,ho [127] ho,estratti [127] estratti,dalle [127] dalle,narici [127] narici,dove [127] hanno,fatto [127] fatto,tampone [127] tampone,covid Top Word Pairs in Tweet in G5:
[27] dove,sono [20] ecco,dove [18] milano,collasso [18] collasso,traffico [18] traffico,mai [18] mai,visto [18] visto,prima [18] prima,lavori [18] lavori,corso [18] corso,ogni Top Word Pairs in Tweet in G6:
[214] layan,kayed [214] kayed,shorouq [214] shorouq,dweiat [214] dweiat,amani [214] amani,hasheem [214] hasheem,ansam [214] ansam,shawahna [214] shawahna,hanno [214] hanno,contratto [214] contratto,coronavirus Top Word Pairs in Tweet in G7:
[50] pisto,gol [50] gol,faceva [50] faceva,morale [50] morale,buffon [50] buffon,aver [50] aver,chiamato [50] chiamato,corona [50] corona,ad [50] ad,tifoso [50] tifoso,cinese Top Word Pairs in Tweet in G8:
[69] ci,sono [60] dove,sono [56] #valdagri,dove [49] dove,ci [46] sono,già [46] già,morte [38] sono,criminali [38] dove,#eni [37] criminali,#eni [35] morte,persone Top Word Pairs in Tweet in G9:
[73] covid,19 [19] positive,covid [13] tested,positive [10] tested,negative [10] president,trump [7] 200,000 [7] died,covid [7] realdonaldtrump,flotus [7] dall'ospedale,dove [6] trump,covid Top Word Pairs in Tweet in G10:
[47] covid,non [45] tutto,spese [45] spese,dei [45] dei,contribuenti [45] contribuenti,tutti [45] tutti,rischi [45] rischi,spostamenti [45] spostamenti,questo [45] questo,tipo [45] tipo,epoca Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: