The graph represents a network of 5,456 Twitter users whose recent tweets contained "#FacialRecognition", 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 Sunday, 01 March 2020 at 10:17 UTC.
The tweets in the network were tweeted over the 9-day, 10-hour, 49-minute period from Thursday, 20 February 2020 at 22:57 UTC to Sunday, 01 March 2020 at 09:47 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 : 5456
Unique Edges : 12225
Edges With Duplicates : 4129
Total Edges : 16354
Number of Edge Types : 5
Retweet : 3272
MentionsInRetweet : 9750
Mentions : 1851
Tweet : 1302
Replies to : 179
Self-Loops : 1414
Reciprocated Vertex Pair Ratio : 0.0109035516716107
Reciprocated Edge Ratio : 0.0215718930922357
Connected Components : 652
Single-Vertex Connected Components : 409
Maximum Vertices in a Connected Component : 4088
Maximum Edges in a Connected Component : 14665
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.63447
Graph Density : 0.000423654211611398
Modularity : 0.582269
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 5,456 Twitter users whose recent tweets contained "#FacialRecognition", 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 Sunday, 01 March 2020 at 10:17 UTC.
The tweets in the network were tweeted over the 9-day, 10-hour, 49-minute period from Thursday, 20 February 2020 at 22:57 UTC to Sunday, 01 March 2020 at 09:47 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 : #FacialRecognition
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:
[1499] gt,gt [1241] facial,recognition [1094] #ai,#iot [828] #machinelearning,#deeplearning [798] #3d,#facialrecognition [797] #robotics,#ai [790] #automation,#machinelearning [787] #iot,#artificialintelligence [787] #artificialintelligence,#hardware [787] #agritech,#biometrics Top Word Pairs in Tweet in G1:
[464] keep,#facialrecognition [415] day,action [412] national,day [404] #facialrecognition,surveillance [349] college,university [340] open,letter [335] demands,keep [330] faculty,staff [324] letter,echoing [322] echoing,student Top Word Pairs in Tweet in G2:
[913] #ai,#iot [805] #machinelearning,#deeplearning [783] #robotics,#ai [783] #3d,#facialrecognition [774] #automation,#machinelearning [773] #iot,#artificialintelligence [773] #artificialintelligence,#hardware [773] #agritech,#biometrics [773] #biometrics,#depthsensing [773] #depthsensing,#3d Top Word Pairs in Tweet in G3:
[111] facial,recognition [29] #facialrecognition,technology [28] law,enforcement [27] #ai,#facialrecognition [24] client,list [23] clearview,ai [20] entire,client [19] recognition,technology [19] #facialrecognition,#privacy [18] use,#facialrecognition Top Word Pairs in Tweet in G4:
[974] gt,gt [208] mikequindazzi,gt [205] #ai,#facialrecognition [159] #facialrecognition,gt [158] #ai,#iot [157] facial,recognition [136] #defstar5,#mpgvip [135] analysis,#facialrecognition [134] gt,mt [134] mt,jblefevre60 Top Word Pairs in Tweet in G5:
[148] facial,recognition [55] #facialrecognition,#privacy [51] #privacy,#facialrecognition [43] use,#facialrecognition [38] clearview,ai [36] petefussey,essexsociology [36] daragh_murray,essexlawschool [36] essexlawschool,essexhrc [35] recognition,technology [34] essexsociology,daragh_murray Top Word Pairs in Tweet in G6:
[120] facial,recognition [66] clearview,ai [50] gt,gt [39] #ai,#privacy [36] client,list [35] law,enforcement [33] #privacy,#dataprotection [33] 3,billion [31] #ai,#facialrecognition [30] list,stolen Top Word Pairs in Tweet in G7:
[192] oxford,circus [132] facial,recognition [109] circus,#facialrecognition [88] scanning,everyone [77] circus,station [69] police,facial [69] recognition,van [61] cover,face [55] opposite,topshop [55] everyone,coming Top Word Pairs in Tweet in G8:
[130] high,schools [126] against,#facialrecognition [100] court,marseille [95] first,victory [95] victory,court [95] court,france [95] france,against [95] #facialrecognition,region [95] region,provence [95] provence,alpes Top Word Pairs in Tweet in G9:
[79] facial,recognition [64] leaked,reports [64] pan,european [61] ban,#facialrecognition [51] european,facial [50] initially,considering [50] considering,ban [50] #facialrecognition,public [50] public,places [50] places,leaked Top Word Pairs in Tweet in G10:
[33] riconoscimento,facciale [32] #ai,#facialrecognition [32] #facialrecognition,#gdpr [28] #facialrecognition,challenges [28] challenges,opportunities' [28] opportunities',blogpost [28] blogpost,w_wiewiorowski [28] w_wiewiorowski,technology [28] technology,solve [28] solve,societal Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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