The graph represents a network of 381 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, 30 September 2020 at 15:05 UTC.
The requested start date was Wednesday, 30 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 13-day, 21-hour, 34-minute period from Wednesday, 16 September 2020 at 01:55 UTC to Tuesday, 29 September 2020 at 23:30 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 : 381
Unique Edges : 270
Edges With Duplicates : 362
Total Edges : 632
Number of Edge Types : 5
Tweet : 107
Retweet : 138
MentionsInRetweet : 221
Replies to : 74
Mentions : 92
Self-Loops : 123
Reciprocated Vertex Pair Ratio : 0.0117302052785924
Reciprocated Edge Ratio : 0.0231884057971014
Connected Components : 117
Single-Vertex Connected Components : 47
Maximum Vertices in a Connected Component : 69
Maximum Edges in a Connected Component : 155
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.115496
Graph Density : 0.00238292581848322
Modularity : 0.580692
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 381 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, 30 September 2020 at 15:05 UTC.
The requested start date was Wednesday, 30 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 13-day, 21-hour, 34-minute period from Wednesday, 16 September 2020 at 01:55 UTC to Tuesday, 29 September 2020 at 23:30 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:
[100] mark,zuckerberg [100] chan,zuckerberg [79] priscilla,chan [47] zuckerberg,initiative [33] zuckerberg,priscilla [24] wow,cnn [24] cnn,completely [24] completely,whiffed [24] whiffed,major [24] major,scandal Top Word Pairs in Tweet in G1:
[28] mark,zuckerberg [26] chan,zuckerberg [20] priscilla,chan [14] zuckerberg,initiative [14] facebook,ceo [12] zuckerberg,wife [10] wife,priscilla [8] zuckerberg,became [8] became,third [8] third,person Top Word Pairs in Tweet in G2:
[27] chan,zuckerberg [14] mark,zuckerberg [14] priscilla,chan [12] zuckerberg,priscilla [11] zuckerberg,initiative [10] senior,software [10] software,engineer [9] changing,brain [8] dev,job [8] job,senior Top Word Pairs in Tweet in G3:
[24] wow,cnn [24] cnn,completely [24] completely,whiffed [24] whiffed,major [24] major,scandal [24] scandal,tactic [24] tactic,progressive [24] progressive,groups [24] groups,warp [24] warp,vote Top Word Pairs in Tweet in G4:
[2] flavinkins,nanogenomic [2] nanogenomic,googleorg [2] googleorg,czbiohub [2] czbiohub,billgates [2] billgates,jack [2] jack,brainstemmedia [2] brainstemmedia,starletbeam [2] starletbeam,23andmeresearch [2] 23andmeresearch,benbartlettberk Top Word Pairs in Tweet in G5:
[2] co,founder [2] founder,co [2] co,ceo Top Word Pairs in Tweet in G6:
[9] rupert,murdoch [9] murdoch,jerry [9] jerry,hall [9] hall,mark [9] mark,zuckerberg [9] zuckerberg,priscilla [9] priscilla,chan [9] chan,four [9] four,dangerous [9] dangerous,white Top Word Pairs in Tweet in G7:
[4] mr,mark [4] mark,zuckerberg [3] zuckerberg,beloved [3] beloved,wife [3] priscilla,chan [2] facebook,attn [2] attn,mr [2] wife,mr [2] mr,priscilla [2] chan,dear Top Word Pairs in Tweet in G8:
[4] judgeclayj,dallaselections [4] dallaselections,helloctcl [4] helloctcl,called [4] called,non [4] non,partisan [4] partisan,group [4] group,google [4] google,lot's [4] lot's,info [3] crob20884420,judgeclayj Top Word Pairs in Tweet in G9:
[8] mark,zuckerberg [8] zuckerberg,pemuda [8] pemuda,drop [8] drop,sekolah [8] sekolah,menikah [8] menikah,pada [8] pada,umur [8] umur,34 [8] 34,tahun [8] tahun,dengan Top Word Pairs in Tweet in G10:
[11] bilancieri,milinda27 [9] era_pero_ya_no,bilancieri [7] milinda27,nadie [7] nadie,escapa [7] escapa,plan [7] plan,turno [7] turno,matrimonio [7] matrimonio,mark [7] mark,zuckerberg [7] zuckerberg,raven Top Replied-To in Entire Graph:
Top Replied-To in G2:
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 G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
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:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: