The graph represents a network of 11,547 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 23 September 2020 at 07:47 UTC.
The requested start date was Wednesday, 23 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 3-day, 0-hour, 2-minute period from Saturday, 19 September 2020 at 03:17 UTC to Tuesday, 22 September 2020 at 03:19 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 : 11547
Unique Edges : 6871
Edges With Duplicates : 12270
Total Edges : 19141
Number of Edge Types : 5
Retweet : 5702
MentionsInRetweet : 7129
Tweet : 3031
Replies to : 979
Mentions : 2300
Self-Loops : 3063
Reciprocated Vertex Pair Ratio : 0.00521251002405774
Reciprocated Edge Ratio : 0.0103709613083367
Connected Components : 3192
Single-Vertex Connected Components : 830
Maximum Vertices in a Connected Component : 1454
Maximum Edges in a Connected Component : 3067
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.079076
Graph Density : 7.52165840836878E-05
Modularity : 0.5855
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 11,547 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 23 September 2020 at 07:47 UTC.
The requested start date was Wednesday, 23 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 3-day, 0-hour, 2-minute period from Saturday, 19 September 2020 at 03:17 UTC to Tuesday, 22 September 2020 at 03:19 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 : 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:
[3673] covid,19 [371] 19,pandemic [318] general,assembly [227] young,people [216] around,world [214] years,ago [211] two,years [209] ago,bts_twt [209] bts_twt,inspired [209] inspired,young Top Word Pairs in Tweet in G1:
[349] covid,19 [27] protokol,kesehatan [22] penyebaran,covid [19] positive,covid [17] positif,covid [14] contra,covid [13] virus,covid [11] during,covid [10] 19,cases [10] menggunakan,masker Top Word Pairs in Tweet in G2:
[295] general,assembly [217] young,people [209] two,years [209] years,ago [209] ago,bts_twt [209] bts_twt,inspired [209] inspired,young [209] people,around [209] around,world [209] world,powerful Top Word Pairs in Tweet in G3:
[59] covid,19 [15] realdonaldtrump,whitehouse [13] 200,000 [7] died,covid [6] 000,dead [6] realdonaldtrump,responsible [5] dead,covid [5] realdonaldtrump,rsbnetwork [5] hey,hey [5] many,folks Top Word Pairs in Tweet in G4:
[195] covid,19 [34] contra,covid [30] ministro,comunicación [28] pacientes,covid [27] vtvcanal8,#envideo [24] lucha,contra [24] #6dvictoriachavista,#dialogodemocraciaypaz [20] #envideo,ministro [19] comunicación,información [19] información,luchaalmada Top Word Pairs in Tweet in G5:
[152] heart,attack [148] 21,year [148] year,old [146] old,guy [146] guy,coming [146] coming,chest [146] chest,pain [146] pain,turns [146] turns,damn [146] damn,heart Top Word Pairs in Tweet in G6:
[33] covid,19 [15] mitch,mcconnell [15] mcconnell,disease [15] disease,herpes [15] herpes,cancer [15] cancer,cell [15] cell,attached [15] attached,covid [14] mmpadellan,mitch [9] speaker,pelosi Top Word Pairs in Tweet in G7:
[51] covid,19 [30] heads,anybody [30] anybody,country [30] country,covid [30] covid,tests [30] tests,positive [30] positive,covid [30] covid,antibodies [30] antibodies,preexisting [29] chrismurphyct,heads Top Word Pairs in Tweet in G8:
[72] covid,4th [72] 4th,largest [72] largest,mass [72] mass,casualty [72] casualty,event [72] event,history [72] history,topped [72] topped,civil [72] civil,war [72] war,wwii Top Word Pairs in Tweet in G9:
[25] covid,19 [6] सरक,र [6] द,य [6] మ,త [6] త,ర [6] ల,న [5] due,covid [4] due,date [4] क,ल [4] म,द Top Word Pairs in Tweet in G10:
[22] plenty,room [22] room,disagreement [22] disagreement,debate [22] debate,society [22] society,one [22] one,thing [22] thing,clear [22] clear,masks [22] masks,reduce [22] reduce,spread 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 G6:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: