The graph represents a network of 4,053 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, 09 September 2020 at 15:03 UTC.
The requested start date was Wednesday, 09 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, 20-hour, 26-minute period from Saturday, 29 August 2020 at 01:46 UTC to Tuesday, 08 September 2020 at 22:13 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 : 4053
Unique Edges : 1312
Edges With Duplicates : 6807
Total Edges : 8119
Number of Edge Types : 5
Tweet : 609
Retweet : 3295
MentionsInRetweet : 3783
Mentions : 359
Replies to : 73
Self-Loops : 629
Reciprocated Vertex Pair Ratio : 0.00396039603960396
Reciprocated Edge Ratio : 0.00788954635108481
Connected Components : 576
Single-Vertex Connected Components : 414
Maximum Vertices in a Connected Component : 2358
Maximum Edges in a Connected Component : 5094
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.136392
Graph Density : 0.000246974381157462
Modularity : 0.488389
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 4,053 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, 09 September 2020 at 15:03 UTC.
The requested start date was Wednesday, 09 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, 20-hour, 26-minute period from Saturday, 29 August 2020 at 01:46 UTC to Tuesday, 08 September 2020 at 22:13 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:
[2192] mark,zuckerberg [1315] chan,give [1307] know,needs [1307] needs,hear [1307] hear,mark [1307] zuckerberg,priscella [1307] priscella,chan [1307] give,billions [1307] billions,pro [1289] donâ,know Top Word Pairs in Tweet in G1:
[1279] know,needs [1279] needs,hear [1279] hear,mark [1279] mark,zuckerberg [1279] zuckerberg,priscella [1279] priscella,chan [1279] chan,give [1279] give,billions [1279] billions,pro [1262] donâ,know Top Word Pairs in Tweet in G2:
[158] chan,zuckerberg [155] 300,million [144] mark,zuckerberg [142] zuckerberg,initiative [139] priscilla,chan [119] 113,million [117] startup,eruditus [116] backs,indian [115] initiative,backs [114] education,startup Top Word Pairs in Tweet in G3:
[313] wow,cnn [313] cnn,completely [313] completely,whiffed [313] whiffed,major [313] major,scandal [313] scandal,tactic [313] tactic,progressive [313] progressive,groups [313] groups,warp [313] warp,vote Top Word Pairs in Tweet in G4:
[282] priscilla,chan [280] mark,zuckerberg [280] zuckerberg,priscilla [280] chan,donating [280] donating,300 [280] 300,million [280] million,voting [280] voting,efforts [280] efforts,chan [280] chan,china Top Word Pairs in Tweet in G5:
[140] ëˆ,wä [140] wä,tëœwã [140] tëœwã,sh [75] net,worth [74] donating,31 [74] 31,net [74] worth,63 [74] 63,days [74] days,before [74] before,election Top Word Pairs in Tweet in G6:
[169] 300,million [162] zuckerberg,chan [160] chan,donate [160] donate,300 [160] million,elections [160] elections,deal [159] deal,covid [159] covid,19 [159] 19,pandemic [144] reuters,zuckerberg Top Word Pairs in Tweet in G7:
[131] zuckerberg,chan [129] defenddemocracy,call [129] call,zuckerberg [129] chan,more [129] more,virtue [129] virtue,signalling [129] signalling,token [129] token,contributions [128] defenddemocracy,defenddemocracy [108] contributions,really Top Word Pairs in Tweet in G8:
[105] zuckerberg,chan [102] deal,covid [102] covid,19 [101] reutersus,zuckerberg [101] chan,donate [101] donate,300 [101] 300,million [101] million,elections [101] elections,deal [101] 19,pandemic Top Word Pairs in Tweet in G9:
[95] fb,bots [95] bots,currently [95] currently,spreading [95] spreading,calls [95] calls,vote [95] vote,twice [95] twice,mail [95] mail,person [95] person,clog [95] clog,system Top Word Pairs in Tweet in G10:
[75] election,infrastructure [51] game,changer [51] changer,incredible [51] incredible,unprecedented [51] unprecedented,investment [51] investment,election [51] infrastructure,given [51] given,directly [50] jocelynbenson,game [49] directly,electioâ Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: