The graph represents a network of 589 Twitter users whose recent tweets contained "#biometric", 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, 28 May 2020 at 10:46 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 14-minute period from Wednesday, 20 May 2020 at 03:00 UTC to Thursday, 28 May 2020 at 10:14 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 : 603
Unique Edges : 765
Edges With Duplicates : 1957
Total Edges : 2722
Number of Edge Types : 5
Mentions : 218
Retweet : 671
Replies to : 54
Tweet : 252
MentionsInRetweet : 1527
Self-Loops : 268
Reciprocated Vertex Pair Ratio : 0,00797165633303809
Reciprocated Edge Ratio : 0,015817223198594
Connected Components : 124
Single-Vertex Connected Components : 66
Maximum Vertices in a Connected Component : 115
Maximum Edges in a Connected Component : 1818
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2,696539
Graph Density : 0,00313493440879765
Modularity : 0,386268
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 589 Twitter users whose recent tweets contained "#biometric", 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, 28 May 2020 at 10:46 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 14-minute period from Wednesday, 20 May 2020 at 03:00 UTC to Thursday, 28 May 2020 at 10:14 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 : #biometric
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 G2:
[594] #biometric,#security [327] #ba,#biometric [327] #security,#biometriaaplicada [327] #biometriaaplicada,#creandoelfuturodelaidentidaddigital [327] #creandoelfuturodelaidentidaddigital,#tech [326] #tech,#news [326] #news,#digital [326] facial,recognition [326] #biometric,data [326] sun,kissed Top Word Pairs in Tweet in G3:
[12] finally,more [11] more,#credential [11] #credential,sharing [11] sharing,#biometric [11] #biometric,technology [11] technology,make [11] make,sure [10] sure,#access [6] #access,buildings [6] buildings,sensitive Top Word Pairs in Tweet in G4:
[22] dcentwallets,watch [12] watch,official [12] official,commercial [12] commercial,#dcentwallet [12] #dcentwallet,#biometric [12] #biometric,authentication [12] authentication,#bluetooth [12] #bluetooth,security [12] security,enhancing [12] enhancing,features Top Word Pairs in Tweet in G5:
[47] #facebiometrics,#facialrecognition [47] find,more [47] more,#biometric [47] #biometric,#biometricauthentication [47] find,#biometric [47] #biometric,#facebiometrics [47] #biometricauthentication,#facebiometrics [47] #mobileid,#biometric [47] #biometric,#fingerprintbiometrics [47] #fingerprintbiometrics,#fingerprintsensors Top Word Pairs in Tweet in G6:
[19] #biometric,mass [15] mass,#surveillance [13] part,public [10] #surveillance,odds [7] odds,rights [7] rights,express [7] express,ourselves [6] ourselves,engage [4] engage,democratic [4] democratic,processes Top Word Pairs in Tweet in G7:
[32] scanner,device [32] bioenable,introduce [27] visit,more [17] #infantfootprint,scanning [17] newborn,#footprint [17] #footprint,identification [17] identification,using [17] using,#biometric [17] #biometric,scanner [17] scanning,amp Top Word Pairs in Tweet in G8:
[7] last,few [6] few,weeks [6] weeks,dramatically [5] dramatically,change [5] change,habits [5] habits,amp [5] amp,behavior [5] behavior,answer [5] answer,challenging [4] challenging,setting Top Word Pairs in Tweet in G9:
[15] #startup,receives [15] receives,funding [15] funding,indian [15] indian,government [15] government,time [15] time,#biometric [15] #biometric,amp [15] amp,thermal [15] thermal,scanning [15] scanning,solution Top Word Pairs in Tweet in G10:
[12] digital,technologies [12] technologies,shape [12] shape,future [12] future,#travel [12] #travel,shift [12] shift,towards [12] towards,use [12] use,#digital [12] #digital,identity [12] identity,amp Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
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 G7:
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: