The graph represents a network of 543 Twitter users whose tweets in the requested range contained "Chan Zuckerberg", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 05 August 2020 at 15:00 UTC.
The requested start date was Wednesday, 05 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, 20-hour, 43-minute period from Wednesday, 22 July 2020 at 02:17 UTC to Tuesday, 04 August 2020 at 23:00 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 : 543
Unique Edges : 470
Edges With Duplicates : 537
Total Edges : 1007
Number of Edge Types : 5
Tweet : 103
Retweet : 198
MentionsInRetweet : 418
Mentions : 215
Replies to : 73
Self-Loops : 112
Reciprocated Vertex Pair Ratio : 0.00991735537190083
Reciprocated Edge Ratio : 0.0196399345335516
Connected Components : 119
Single-Vertex Connected Components : 35
Maximum Vertices in a Connected Component : 96
Maximum Edges in a Connected Component : 302
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.18193
Graph Density : 0.00207607048446175
Modularity : 0.615451
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 543 Twitter users whose tweets in the requested range contained "Chan Zuckerberg", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 05 August 2020 at 15:00 UTC.
The requested start date was Wednesday, 05 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, 20-hour, 43-minute period from Wednesday, 22 July 2020 at 02:17 UTC to Tuesday, 04 August 2020 at 23:00 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 : Chan Zuckerberg
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:
[138] chan,zuckerberg [73] mark,zuckerberg [61] priscilla,chan [47] zuckerberg,initiative [34] zuckerberg,biohub [24] covid,19 [21] chan,mark [20] raven,chan [18] yuri,milner [18] worth,50 Top Word Pairs in Tweet in G1:
[3] jepkratz,pepestan3 [3] pepestan3,rterriers2 [3] rterriers2,meemzertrudy [3] meemzertrudy,kcrated [3] kcrated,missesj3 [3] missesj3,mbees39 [3] mbees39,steve_q17 [3] steve_q17,dark2lightww [3] dark2lightww,hogansgoat2423 [2] hb04920973,jepkratz Top Word Pairs in Tweet in G2:
[16] imaging,scientists [16] scientists,rfa [12] 5pm,pt [10] chan,zuckerberg [9] czbiohub,california [7] sars,cov [7] public,health [7] july,30 [7] 30,last [7] last,day Top Word Pairs in Tweet in G3:
[22] chan,zuckerberg [13] zuckerberg,initiative [11] mark,zuckerberg [6] priscilla,chan [6] zuckerberg,biohub [5] zuckerberg,wife [3] initiative,czi [3] ucsf,chan [3] เบ,ร [3] ร,ก Top Word Pairs in Tweet in G4:
[5] chan,zuckerberg [3] big,pharma [3] pharma,gates [3] gates,foundation [3] foundation,clinton [3] clinton,global [3] global,initiative [3] initiative,chan [3] human,meat [2] silicon,valley Top Word Pairs in Tweet in G5:
[11] chan,zuckerberg [8] zuckerberg,biohub [8] genome,sequencing [8] flavinkins,nanogenomic [8] googleorg,czbiohub [8] czbiohub,billgates [8] billgates,jack [7] jack,brainstemmedia [7] brainstemmedia,starletbeam [7] starletbeam,23andmeresearch Top Word Pairs in Tweet in G6:
[18] worth,50 [17] justalazyuser,sokrates_17 [17] sokrates_17,breaking911 [17] breaking911,fun [17] fun,facts [17] facts,prisicilla [17] prisicilla,chan's [17] chan's,net [17] net,worth [17] 50,billion Top Word Pairs in Tweet in G7:
[8] mark,zuckerberg [5] watch,live [5] zuckerberg,dr [5] dr,priscilla [5] priscilla,chan [5] chan,discuss [4] covid,19 [3] facebook,watch [3] live,mark [3] discuss,contain Top Word Pairs in Tweet in G8:
[14] breakthrough,prizes [14] prizes,funded [14] funded,silicon [14] silicon,valley [14] valley,figures [14] figures,including [14] including,sergey [14] sergey,brin [14] brin,yuri [14] yuri,milner Top Word Pairs in Tweet in G9:
[2] qanon91447559,hiruta_kentaro [2] hiruta_kentaro,okabaeri9111 [2] okabaeri9111,darkangel24hour [2] darkangel24hour,numbriho1004 [2] numbriho1004,kuriei101761 [2] kuriei101761,vkanz1rhstqtzev [2] vkanz1rhstqtzev,maiwashisan [2] qarmy_jp,これもフェイクですね [2] これもフェイクですね,ここに元画像がありますけど [2] ここに元画像がありますけど,ハワイで撮影されたものですね Top Word Pairs in Tweet in G10:
[10] chhr01,facebook [10] facebook,huge [10] huge,conflict [10] conflict,interest [10] interest,chan [10] chan,zuckerberg [10] zuckerberg,non [10] non,profit [10] profit,vested [10] vested,healthcare Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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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:
Top Mentioned in G4:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: