The graph represents a network of 893 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 Friday, 08 November 2019 at 23:10 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 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, 23-hour, 31-minute period from Wednesday, 23 October 2019 at 01:22 UTC to Wednesday, 06 November 2019 at 00:54 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 : 893
Unique Edges : 1141
Edges With Duplicates : 200
Total Edges : 1341
Number of Edge Types : 3
Mentions : 1105
Tweet : 176
Replies to : 60
Self-Loops : 176
Reciprocated Vertex Pair Ratio : 0.000924214417744917
Reciprocated Edge Ratio : 0.00184672206832872
Connected Components : 152
Single-Vertex Connected Components : 71
Maximum Vertices in a Connected Component : 409
Maximum Edges in a Connected Component : 783
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 4.839816
Graph Density : 0.00135960309130808
Modularity : 0.728054
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 893 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 Friday, 08 November 2019 at 23:10 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 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, 23-hour, 31-minute period from Wednesday, 23 October 2019 at 01:22 UTC to Wednesday, 06 November 2019 at 00:54 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[399] mark,zuckerberg [318] priscilla,chan [281] 600,million [280] chan,zuckerberg [191] wife,priscilla [163] zuckerberg,wife [144] zuckerberg,biohub [144] biotech,initiative [137] facebook,s [137] chan,begun Top Word Pairs in Tweet in G1:
[143] 600,million [134] facebook,s [134] zuckerberg,created [134] created,chanzuckerberg [134] chanzuckerberg,initiative [134] initiative,profit [134] profit,company [133] s,zuckerberg [133] company,donate [133] donate,600 Top Word Pairs in Tweet in G2:
[136] chan,zuckerberg [132] 600,million [132] biotech,initiative [127] zuckerberg,biohub [125] mark,zuckerberg [124] priscilla,chan [123] zuckerberg,wife [123] wife,priscilla [123] chan,begun [123] begun,chan Top Word Pairs in Tweet in G3:
[85] photos,find [85] find,search [85] search,mark [85] mark,zuckerberg [85] zuckerberg,priscilla [85] priscilla,chan [85] chan,super [85] super,staged [85] staged,show [85] show,looking Top Word Pairs in Tweet in G4:
[38] mark,zuckerberg [36] priscilla,chan [25] chan,zuckerberg [21] wife,priscilla [19] flower,mound [19] mound,texas [19] texas,news [18] news,flower [14] zuckerberg,initiative [14] zuckerberg,steps Top Word Pairs in Tweet in G5:
[12] yuri,milner [6] milner,s [6] s,profile [6] profile,john [6] john,brockman [6] brockman,s [6] s,feb [6] feb,2013 [6] 2013,yuri [6] milner,along Top Word Pairs in Tweet in G6:
[7] fda_drug_info,hhs_ori [6] hhs_ori,biorxivpreprint [5] thenci,cdc_cancer [5] cdc_cancer,nihdirector [5] nihdirector,us_fda [5] us_fda,fdacommissioner [5] fdacommissioner,fda_drug_info [3] sanchak74,thenci [3] biorxivpreprint,us_fda [3] us_fda,billgates Top Word Pairs in Tweet in G7:
[26] mark,zuckerberg [8] madame,tussauds [8] tussauds,wax [8] wax,model [8] model,mark [8] zuckerberg,looks [8] looks,way [8] way,more [8] more,real [8] real,person Top Word Pairs in Tweet in G8:
[11] well,taking [11] taking,advice [11] advice,fuckerberg [11] fuckerberg,petebuttigieg [11] petebuttigieg,lost [11] lost,whatever [11] whatever,smidgin [11] smidgin,credibility [10] rcdewinter,well [10] credibility,ar Top Word Pairs in Tweet in G9:
[29] mark,zuckerberg [15] wife,prisc [13] priscilla,chan [12] zuckerberg,s [10] focused,mr [10] mr,monopoly [10] monopoly,totally [10] totally,missed [10] missed,woman [10] woman,sitting Top Word Pairs in Tweet in G10:
[13] mark,zuckerberg [4] cambridge,analytica [3] remarkable,zuckerberg [3] zuckerberg,tells [3] tells,aoc [3] aoc,know [3] know,run [3] run,ads [3] ads,gop [3] gop,primary Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: