The graph represents a network of 715 Twitter users whose recent tweets contained "#StanfordHumanAI", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 31 October 2019 at 17:24 UTC.
The tweets in the network were tweeted over the 5-day, 19-hour, 46-minute period from Friday, 25 October 2019 at 20:39 UTC to Thursday, 31 October 2019 at 16:25 UTC.
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 : 715
Unique Edges : 2285
Edges With Duplicates : 1007
Total Edges : 3292
Self-Loops : 42
Reciprocated Vertex Pair Ratio : 0.0275339185953711
Reciprocated Edge Ratio : 0.0535922330097087
Connected Components : 9
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 706
Maximum Edges in a Connected Component : 3282
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.457244
Graph Density : 0.00504397563221093
Modularity : 0.313313
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 715 Twitter users whose recent tweets contained "#StanfordHumanAI", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 31 October 2019 at 17:24 UTC.
The tweets in the network were tweeted over the 5-day, 19-hour, 46-minute period from Friday, 25 October 2019 at 20:39 UTC to Thursday, 31 October 2019 at 16:25 UTC.
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 : TwitterSearch
Graph Term : #StanfordHumanAI
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
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[178] stanfordhai,#stanfordhumanai [137] tech,policy [136] #stanfordhumanai,conf [130] fall,conference [122] today,s [119] ethics,policy [119] policy,governance [119] stage,today [119] conf,sharing [119] sharing,thought Top Word Pairs in Tweet in G1:
[99] stanfordhai,#stanfordhumanai [93] stage,today [93] #stanfordhumanai,conf [93] conf,sharing [93] sharing,thought [93] thought,leadership [93] leadership,ml [93] ml,fairness [93] fairness,jovialjoy [93] jovialjoy,ai Top Word Pairs in Tweet in G2:
[79] fall,conference [67] ethics,policy [67] policy,governance [64] ai,ethics [56] conference,ai [34] watch,live [31] live,three [31] three,days [31] days,watch [31] watch,2019 Top Word Pairs in Tweet in G3:
[60] best,thing [60] thing,ve [60] ve,heard [60] heard,far [60] far,#stanfordhumanai [60] #stanfordhumanai,marietjeschaake [60] marietjeschaake,128 [60] 128,#aiethics [60] #aiethics,frameworks [60] frameworks,europe Top Word Pairs in Tweet in G4:
[30] watch,live [27] facial,recognition [23] erikbryn,susan_athey [22] stanfordhai,erikbryn [22] susan_athey,mit_ide [22] mit_ide,kendenman [22] kendenman,csetgeorgetown [20] ai,ethics [20] ethics,policy [20] policy,governance Top Word Pairs in Tweet in G5:
[23] #stanfordhumanai,conf [18] ethics,policy [18] policy,governance [16] conference,ai [16] ai,ethics [14] really,want [14] want,ai [14] much,more [14] watch,live [13] plenary,session Top Word Pairs in Tweet in G6:
[16] latest,china [16] china,ai [16] ai,tech [16] tech,policy [16] policy,international [16] international,context [16] context,join [16] join,blockbuster [16] blockbuster,#digichina [16] #digichina,line Top Word Pairs in Tweet in G7:
[3] drfeifei,four [3] four,incredible [3] incredible,women [3] women,leaders [3] leaders,stage [3] stage,today [3] today,s [3] s,stanfordhai [3] stanfordhai,#stanfordhumanai [3] #stanfordhumanai,conf Top Word Pairs in Tweet in G8:
[2] ai,governance Top Word Pairs in Tweet in G9:
[3] stanfordhai,#stanfordhumanai [2] uk,ai [2] ai,sector [2] sector,deal [2] deal,cover [2] cover,many [2] many,areas Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
Top Replied-To in G9:
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 G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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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: