The graph represents a network of 1 525 Twitter users whose recent tweets contained "#AIethics", 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 Friday, 08 November 2019 at 11:43 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 35-minute period from Wednesday, 30 October 2019 at 11:55 UTC to Friday, 08 November 2019 at 11:30 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 : 1534
Unique Edges : 5284
Edges With Duplicates : 3790
Total Edges : 9074
Number of Edge Types : 4
Mentions : 7397
Retweet : 1280
Tweet : 287
Replies to : 110
Self-Loops : 313
Reciprocated Vertex Pair Ratio : 0,0330011436039863
Reciprocated Edge Ratio : 0,0638937213348094
Connected Components : 120
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 1213
Maximum Edges in a Connected Component : 8574
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4,164674
Graph Density : 0,0026887824658895
Modularity : 0,496031
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1 525 Twitter users whose recent tweets contained "#AIethics", 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 Friday, 08 November 2019 at 11:43 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 35-minute period from Wednesday, 30 October 2019 at 11:55 UTC to Friday, 08 November 2019 at 11:30 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 : TwitterSearch
Graph Term : #AIethics
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:
[351] #ai,#aiethics [173] artificial,intelligence [135] #aiethics,#ai [134] #ai,#machinelearning [124] fabriziobustama,enricomolinari [84] #ai,#ethics [82] #aiethics,cc [81] self,driving [74] software,inside [74] inside,uber Top Word Pairs in Tweet in G1:
[45] #ai,#ethics [41] #aimorning,#aiaamu [41] kampusklubi,tampereuni [40] tampereuni,ai_hub_tampere [39] #aiethics,#aimorning [38] ai_hub_tampere,pirkanmaan_liit [36] #aiaamu,kampusklubi [36] tem_uutiset,#ai [31] aiethicslab,aiethics [30] #aiethics,#ai Top Word Pairs in Tweet in G2:
[66] #ai,#machinelearning [61] #aiethics,cc [45] #ai,#aiethics [44] antgrasso,akwyz [40] #machinelearning,#digitaltransformation [37] alaricaloor,hessiejones [35] ulliwaltinger,siemens [35] hessiejones,roxanasoi [35] roxanasoi,allakos_dev [35] allakos_dev,owenchurches Top Word Pairs in Tweet in G3:
[124] fabriziobustama,enricomolinari [92] #ai,#aiethics [65] ipfconline1,kirkdborne [65] kirkdborne,mikequindazzi [65] terence_mills,fabriziobustama [59] #humanity,#robots [59] mvollmer1,grattongirl [59] grattongirl,terence_mills [59] terence_mills,drjdrooghaag [59] enricomolinari,aiethicslab Top Word Pairs in Tweet in G4:
[25] amp,ai [24] ibm,europe [24] europe,chairman [24] chairman,martin [24] forbes,europe [24] europe,digital [24] digital,growth [24] growth,europe [24] europe,leading [24] leading,improving Top Word Pairs in Tweet in G5:
[70] software,inside [70] inside,uber [70] uber,self [70] self,driving [70] driving,suv [70] suv,killed [70] killed,arizona [70] arizona,woman [70] woman,last [70] last,year Top Word Pairs in Tweet in G6:
[18] #aiethics,principles [13] historic,conversation [13] conversation,unfolding [13] unfolding,right [13] right,between [13] between,jack [13] jack,shanahan [13] shanahan,dodjaic [13] dodjaic,kent_walker [13] kent_walker,google Top Word Pairs in Tweet in G7:
[58] artificial,intelligence [23] financial,times [23] times,ft [23] #ai,#aiethics [18] #robotique,#machinelearning [18] #machinelearning,#ai [18] #aiethics,bdgeorges [13] #aiethics,#datascience [13] #dataresponsible,#aiethics [12] casse,tête Top Word Pairs in Tweet in G8:
[7] #ai,#aiethics [6] artificial,intelligence [3] #artificialintelligence,#aiethics [2] more,more [2] #aiethics,governance [2] take,responsibility [2] robot,gun [2] gun,machine [2] machine,learning [2] learning,artificial Top Word Pairs in Tweet in G9:
[18] cyber,valley [13] #ai,#aiethics [12] machine,ethics [10] #artificialintelligence,#aiethics [9] #roboethics,#robotethics [9] valley,ready [9] ready,big [9] big,debut [9] debut,#berlinsciweek19 [9] #berlinsciweek19,join Top Word Pairs in Tweet in G10:
[5] tué,inventeurs [5] inventeurs,structurer [5] structurer,institutionnaliser [5] institutionnaliser,tirer [5] tirer,profit [5] profit,innovation [5] innovation,gauthier [5] gauthier,etienne [5] etienne,st [5] st,amant Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: