The graph represents a network of 1,462 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 Saturday, 30 May 2020 at 18:55 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 44-minute period from Friday, 22 May 2020 at 09:35 UTC to Saturday, 30 May 2020 at 18:19 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 : 1462
Unique Edges : 6591
Edges With Duplicates : 5595
Total Edges : 12186
Number of Edge Types : 5
Retweet : 2301
Tweet : 213
MentionsInRetweet : 8260
Mentions : 1222
Replies to : 190
Self-Loops : 276
Reciprocated Vertex Pair Ratio : 0.0443298969072165
Reciprocated Edge Ratio : 0.0848963474827246
Connected Components : 89
Single-Vertex Connected Components : 43
Maximum Vertices in a Connected Component : 1228
Maximum Edges in a Connected Component : 11825
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.359074
Graph Density : 0.00379403946287937
Modularity : 0.383032
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 1,462 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 Saturday, 30 May 2020 at 18:55 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 44-minute period from Friday, 22 May 2020 at 09:35 UTC to Saturday, 30 May 2020 at 18:19 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 : In-Degree
Top Domains
Top Word Pairs in Tweet in G2:
[232] #aiethics,#robotics [119] #iot,#aiethics [84] #ai,#iot [80] #emergingtech,solutions [79] solutions,emerging [69] emerging,change [69] change,world [63] #robotics,#vr [62] #vr,#augmentedreality [61] #augmentedreality,#healthtech Top Word Pairs in Tweet in G3:
[247] #machinelearning,#deeplearning [243] #ai,#artificialintelligence [218] #artificialintelligence,#machinelearning [211] artificial,intelligence [211] #deeplearning,#aiethics [211] #aiethics,#weandai [211] #deeplearning,#datascience [211] #bigdata,#machinelearning [211] #datascience,#computervision [211] #computervision,#iot Top Word Pairs in Tweet in G4:
[191] #ai,community [133] community,needs [133] needs,more [93] more,dialectic [73] dialectic,otherwise [57] otherwise,technology [52] technology,surely [51] surely,overtake [51] overtake,one [51] one,day Top Word Pairs in Tweet in G5:
[40] #ai,#aiethics [40] #ethicalai,#aiethics [40] #aiethics,#responsibleai [40] #artificialintelligence,#aiethics [40] ai,ethics [40] #ai,#artificialintelligence [40] #aiethics,#aigovernance [40] #artificialintelligence,#ai [40] #ai,ethics [40] #ethics,#aiethics Top Word Pairs in Tweet in G6:
[7] #aiethics,#machinelearning [6] explainable,#ai [6] #ai,xai [3] xai,key [2] key,overcoming [2] overcoming,accountability [2] accountability,challenge [2] challenge,informationage [2] informationage,intellimetri [2] intellimetri,gersonrolim Top Word Pairs in Tweet in G7:
[15] #iot,#ai [11] #ai,#healthtech [11] #healthtech,#5g [11] #5g,#telehealth [11] #telehealth,#aiethics [11] #aiethics,self [11] self,service [11] service,doctor's [11] doctor's,office [11] office,involves Top Word Pairs in Tweet in G8:
[16] care,robots [16] interested,care [16] robots,ethics [16] ethics,come [16] come,phd [16] phd,gender_uis [16] gender_uis,imaginaries [16] imaginaries,care [16] robots,offer [16] offer,questions Top Word Pairs in Tweet in G9:
[44] app,traçage [22] traçage,#covid_19 [22] #covid_19,#tracingapp [22] #tracingapp,depuis [22] depuis,quand [22] quand,concepteurs [22] concepteurs,d'une [22] d'une,technologie [22] technologie,sont [22] sont,mêmes Top Word Pairs in Tweet in G10:
[10] lektüre,#diversitytag [10] #diversitytag,#künstlicheintelligenz [10] #künstlicheintelligenz,diskriminierend [10] diskriminierend,wirkt [10] wirkt,die [10] die,erklärbarkeit [10] erklärbarkeit,überprüfung [10] überprüfung,selbstlernenden [10] selbstlernenden,#algorithmen [10] #algorithmen,fördern Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: