The graph represents a network of 6,092 Twitter users whose tweets in the requested range contained "GDPR", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 August 2020 at 18:38 UTC.
The requested start date was Monday, 10 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 17-hour, 50-minute period from Tuesday, 04 August 2020 at 06:10 UTC to Monday, 10 August 2020 at 00:00 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 : 6092
Unique Edges : 4919
Edges With Duplicates : 9915
Total Edges : 14834
Number of Edge Types : 5
Tweet : 2824
MentionsInRetweet : 4802
Mentions : 2526
Retweet : 3581
Replies to : 1101
Self-Loops : 2975
Reciprocated Vertex Pair Ratio : 0.0272626406720558
Reciprocated Edge Ratio : 0.0530782286684154
Connected Components : 1842
Single-Vertex Connected Components : 1039
Maximum Vertices in a Connected Component : 2277
Maximum Edges in a Connected Component : 9736
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.415409
Graph Density : 0.000174660028741155
Modularity : 0.44288
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 6,092 Twitter users whose tweets in the requested range contained "GDPR", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 August 2020 at 18:38 UTC.
The requested start date was Monday, 10 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 17-hour, 50-minute period from Tuesday, 04 August 2020 at 06:10 UTC to Monday, 10 August 2020 at 00:00 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 : GraphServerTwitterSearch
Graph Term : GDPR
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:
[876] see,more [724] washington,see [585] top,story [557] story,washington [308] data,protection [258] î,î [176] personal,data [119] æ,æ [116] ø,ø [114] gdpr,compliance Top Word Pairs in Tweet in G1:
[697] see,more [689] washington,see [552] top,story [530] story,washington [68] data,protection [51] ù,ø [47] ø,ù [47] ø,ø [42] gdpr,compliance [41] protection,regulation Top Word Pairs in Tweet in G2:
[127] see,more [82] #gdpr,#dataprotection [72] #infosec,#ransomware [72] #ransomware,#malware [70] #cybersecurity,#fintech [68] #fintech,#legaltech [64] #cybersecurity,#hacking [64] #hacking,#technology [62] #dataprivacy,#dataprotection [61] #gdpr,#cybersecurity Top Word Pairs in Tweet in G3:
[53] digital,business [52] business,needs [50] needs,please [46] please,visit [32] #gdpr,#brexit [31] #privacy,#gdpr [31] visit,#businessintelligence [31] #businessintelligence,#digitalmarketing [31] #digitalmarketing,#gdpr [31] #brexit,#webdesign Top Word Pairs in Tweet in G4:
[73] soooo,google [73] google,three [73] three,monkey [73] solution,#schremsii [73] #schremsii,simply [73] simply,uses [73] uses,#sccs [73] #sccs,google [73] google,falls [72] maxschrems,soooo Top Word Pairs in Tweet in G5:
[28] pm,narendramodi [8] ªà,ªà [8] rashtriya,swachhata [8] swachhata,kendra [7] pibmumbai,pm [6] death,toll [6] prime,minister [6] œà,œà [6] ram,temple [6] temple,ayodhya Top Word Pairs in Tweet in G6:
[27] free,#webinar [27] #webinar,members [27] members,#gdpr [16] massive,fines [13] data,free [12] discuss,odourless [12] odourless,data [12] fines,massive [12] good,example [12] example,dealing Top Word Pairs in Tweet in G7:
[26] personal,information [14] break,gdpr [13] black,book [13] book,break [13] gdpr,certainly [13] certainly,contains [13] contains,personal [13] information,indeed [13] indeed,sensitive [13] sensitive,personal Top Word Pairs in Tweet in G8:
[28] nicktolhurst,work [28] work,local [28] local,government [28] government,sending [28] sending,work [28] work,emails [28] emails,private [28] private,account [28] account,sackable [28] sackable,breach Top Word Pairs in Tweet in G9:
[4] breach,gdpr [3] yorklawlondon,neilfindlay_msp [3] neilfindlay_msp,alexneilsnp [3] alexneilsnp,jeanef1msp [3] jeanef1msp,juliacumberlege [3] juliacumberlege,ladymcbeth2 [3] ladymcbeth2,nicolasturgeon [3] nicolasturgeon,johannlamont [3] themistressrox,alynsmith [3] gdpr,private Top Word Pairs in Tweet in G10:
[12] marriott,scores [12] scores,another [12] another,extension [12] extension,ba [12] ba,prepares [12] prepares,pay [11] french,cnil [11] cnil,issues [11] issues,first [11] first,fine 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 Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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 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: