The graph represents a network of 1,229 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, 27 May 2020 at 15:05 UTC.
The requested start date was Wednesday, 27 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 22-hour, 38-minute period from Wednesday, 13 May 2020 at 00:06 UTC to Tuesday, 26 May 2020 at 22:45 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 : 1229
Unique Edges : 648
Edges With Duplicates : 1495
Total Edges : 2143
Number of Edge Types : 5
Replies to : 79
Mentions : 194
MentionsInRetweet : 862
Retweet : 697
Tweet : 311
Self-Loops : 323
Reciprocated Vertex Pair Ratio : 0.00463821892393321
Reciprocated Edge Ratio : 0.00923361034164358
Connected Components : 320
Single-Vertex Connected Components : 201
Maximum Vertices in a Connected Component : 306
Maximum Edges in a Connected Component : 659
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.268398
Graph Density : 0.000717593022053893
Modularity : 0.543282
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 1,229 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, 27 May 2020 at 15:05 UTC.
The requested start date was Wednesday, 27 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 22-hour, 38-minute period from Wednesday, 13 May 2020 at 00:06 UTC to Tuesday, 26 May 2020 at 22:45 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 G2:
[114] 800,000 [80] median,family [72] mark,zuckerberg [72] zuckerberg,priscilla [54] priscilla,chan's [48] chan's,800 [44] 000,donation [44] donation,favorite [43] favorite,restaurants [43] restaurants,median Top Word Pairs in Tweet in G3:
[155] mark,zuckerberg [155] priscilla,chan [154] chan,give [154] bay,area [154] zuckerberg,priscilla [154] give,800 [154] 800,000 [154] 000,favorite [154] favorite,bay [154] area,restaurants Top Word Pairs in Tweet in G4:
[48] chan,zuckerberg [48] zuckerberg,ai [45] ai,conference [45] conference,covid [44] covid,19 [42] 19,governance [42] governance,speakers [42] speakers,topics [42] topics,engaged [42] engaged,broad Top Word Pairs in Tweet in G5:
[13] joe,derisi [9] derisi,professor [9] mission,district [9] next,week [9] exploratorium,next [9] week,#covidconversations [9] #covidconversations,frazierarchives [9] frazierarchives,dr [9] dr,joe [9] professor,biochemisty Top Word Pairs in Tweet in G6:
[12] interesting,find [10] find,common [7] common,sense [7] sense,connects [6] connects,bill [6] bill,melinda [6] melinda,gates [6] gates,foundation [6] foundation,bezos [6] bezos,family Top Word Pairs in Tweet in G7:
[35] distance,learning [35] grade,teacher [35] chan,zuckerberg [35] art,distance [35] zuckerberg,initiative [35] pre,teacher [35] teacher,enhance [35] enhance,distance [35] learning,students [35] students,purchasing Top Word Pairs in Tweet in G8:
[32] マークザッカーバーグ夫妻が寄付する,800kは一般家庭の価値に換算すると [23] 800kは一般家庭の価値に換算すると,02らしい笑 [17] 02らしい笑,色々凄い [17] 色々凄い,mark [16] mark,zuckerberg [15] zuckerberg,priscilla [15] priscilla,chan's [15] chan's,800 [15] 800,000 [15] 000,donation Top Word Pairs in Tweet in G9:
[31] mark,zuckerberg [31] favorite,restaurants [31] zuckerberg,wife [31] wife,priscilla [31] priscilla,chan [31] chan,donate [31] donate,100 [31] 100,000 [31] 000,each [31] each,eight Top Word Pairs in Tweet in G10:
[32] マーク,ザッカーバーグ夫妻はサンフランシスコベイエリアの8つのレストランに各 [32] ザッカーバーグ夫妻はサンフランシスコベイエリアの8つのレストランに各,100kずつ寄付したと [31] 100kずつ寄付したと,この8件のうち3件がサンマテオのsushi [31] この8件のうち3件がサンマテオのsushi,sam'sや怒髪天ラーメン等の日本食系っていうのがなんか嬉しい [31] haj_in_sf,マーク [31] sam'sや怒髪天ラーメン等の日本食系っていうのがなんか嬉しい,自分も少しでもこういうことができる Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: