The graph represents a network of 6,244 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, 15 September 2020 at 07:58 UTC.
The requested start date was Tuesday, 15 September 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 10-day, 8-hour, 58-minute period from Tuesday, 01 September 2020 at 01:45 UTC to Friday, 11 September 2020 at 10:43 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 : 6244
Unique Edges : 2771
Edges With Duplicates : 9637
Total Edges : 12408
Number of Edge Types : 5
Replies to : 735
Retweet : 4631
MentionsInRetweet : 5031
Tweet : 1030
Mentions : 981
Self-Loops : 1065
Reciprocated Vertex Pair Ratio : 0.00711964092245782
Reciprocated Edge Ratio : 0.0141386199477486
Connected Components : 911
Single-Vertex Connected Components : 455
Maximum Vertices in a Connected Component : 4330
Maximum Edges in a Connected Component : 10021
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.651959
Graph Density : 0.000166926227073233
Modularity : 0.501507
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 6,244 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, 15 September 2020 at 07:58 UTC.
The requested start date was Tuesday, 15 September 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 10-day, 8-hour, 58-minute period from Tuesday, 01 September 2020 at 01:45 UTC to Friday, 11 September 2020 at 10:43 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:
[876] drewholden360,thread [503] seems,collective [503] collective,forgetting [503] forgetting,media [503] media,comes [503] comes,early [503] early,coronavirus [502] coronavirus,coverage [500] thread,seems [461] anni,fa Top Word Pairs in Tweet in G1:
[875] drewholden360,thread [500] seems,collective [500] collective,forgetting [500] forgetting,media [500] media,comes [500] comes,early [500] early,coronavirus [500] coronavirus,coverage [499] thread,seems [378] thread,threads Top Word Pairs in Tweet in G2:
[194] ma,non [178] covid,ma [176] borgonzoni,ricorda [176] ricorda,anche [176] anche,emilia [176] emilia,romagna [176] romagna,discoteca [176] discoteca,sfornato [176] sfornato,decine [176] decine,ragazzi Top Word Pairs in Tweet in G3:
[52] ecco,dove [40] dove,sono [34] covid,19 [24] ci,sono [18] ma,dove [16] anti,covid [16] covid,non [15] dove,non [15] nuovi,casi [14] ver,oferta Top Word Pairs in Tweet in G4:
[208] sul,virus [206] cina,paese [206] paese,miliardi [206] miliardi,abitanti [206] abitanti,dove [206] dove,sarebbe [206] sarebbe,partito [206] partito,covid [206] covid,sparita [206] sparita,dalle Top Word Pairs in Tweet in G5:
[147] anni,fa [145] ho,deposto [145] deposto,corona [145] corona,presso [145] presso,monumento [145] monumento,dedicato [145] dedicato,ai [145] ai,caduti [145] caduti,montagnola [145] montagnola,dove Top Word Pairs in Tweet in G6:
[38] sul,virus [26] roma,sabato [26] sabato,prossimo [26] prossimo,settembre [26] settembre,ci [26] ci,saranno [26] saranno,migliaia [26] migliaia,migliaia [26] migliaia,cittadini [26] cittadini,liberi Top Word Pairs in Tweet in G7:
[90] muore,ancora [90] ancora,#covid19 [90] #covid19,oggi [90] oggi,volata [90] volata,mia [90] mia,nonna [90] nonna,#sicilia [90] #sicilia,mia [90] mia,terra [90] terra,dove Top Word Pairs in Tweet in G8:
[26] thread,come [26] come,varia [26] varia,tasso [26] tasso,ricovero [26] ricovero,#covid_19 [26] #covid_19,nel [26] nel,corso [26] corso,dei [26] dei,mesi [26] mesi,questo Top Word Pairs in Tweet in G9:
[88] qualcuno,questi [88] questi,idioti [88] idioti,ammala [88] ammala,covid [88] covid,non [88] non,deve [88] deve,essere [88] essere,curato [88] curato,medici [88] medici,infermieri Top Word Pairs in Tweet in G10:
[22] #spagna,ragazza [22] ragazza,positiva [22] positiva,#covid_19 [22] #covid_19,fa [22] fa,surf [22] surf,colleghi [22] colleghi,denunciano [22] denunciano,lei [22] lei,non [22] non,sintomi Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: