The graph represents a network of 687 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 Wednesday, 30 October 2019 at 16:26 UTC.
The tweets in the network were tweeted over the 4-day, 18-hour, 18-minute period from Friday, 25 October 2019 at 20:39 UTC to Wednesday, 30 October 2019 at 14:57 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 : 687
Unique Edges : 2190
Edges With Duplicates : 993
Total Edges : 3183
Self-Loops : 42
Reciprocated Vertex Pair Ratio : 0.0278354798504362
Reciprocated Edge Ratio : 0.0541632983023444
Connected Components : 9
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 678
Maximum Edges in a Connected Component : 3173
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.454884
Graph Density : 0.00524951090854308
Modularity : 0.350256
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 687 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 Wednesday, 30 October 2019 at 16:26 UTC.
The tweets in the network were tweeted over the 4-day, 18-hour, 18-minute period from Friday, 25 October 2019 at 20:39 UTC to Wednesday, 30 October 2019 at 14:57 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:
[167] stanfordhai,#stanfordhumanai [136] tech,policy [132] #stanfordhumanai,conf [129] fall,conference [120] today,s [117] stage,today [117] conf,sharing [117] sharing,thought [117] thought,leadership [117] leadership,ml Top Word Pairs in Tweet in G1:
[84] fall,conference [71] ethics,policy [71] policy,governance [68] ai,ethics [61] conference,ai [34] live,three [34] three,days [34] days,watch [34] watch,2019 [34] 2019,fall Top Word Pairs in Tweet in G2:
[100] stanfordhai,#stanfordhumanai [96] #stanfordhumanai,conf [95] stage,today [95] conf,sharing [95] sharing,thought [95] thought,leadership [95] leadership,ml [95] ml,fairness [95] fairness,jovialjoy [95] jovialjoy,ai Top Word Pairs in Tweet in G3:
[72] best,thing [72] thing,ve [72] ve,heard [72] heard,far [72] far,#stanfordhumanai [72] #stanfordhumanai,marietjeschaake [72] marietjeschaake,128 [72] 128,#aiethics [72] #aiethics,frameworks [72] frameworks,europe Top Word Pairs in Tweet in G4:
[32] watch,live [28] fall,conference [27] facial,recognition [27] #stanfordhumanai,conf [23] ethics,policy [23] policy,governance [23] erikbryn,susan_athey [22] ai,ethics [22] stanfordhai,erikbryn [22] susan_athey,mit_ide Top Word Pairs in Tweet in G5:
[13] #stanfordhumanai,conference [12] dpatil,arguing [12] arguing,#stanfordhumanai [12] conference,reinserting [12] reinserting,grounding [12] grounding,liberal [12] liberal,arts [12] arts,university [12] university,curriculum [12] curriculum,quite 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:
[2] #stanfordhumanai,#aiforhumanity [2] #aiforhumanity,#gfaih [2] #gfaih,concomitant [2] concomitant,both [2] both,address [2] address,ethics [2] ethics,regulation [2] regulation,governance [2] governance,comparing [2] comparing,approaches Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
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: