The graph represents a network of 4,937 Twitter users whose tweets in the requested range contained "(Cyber Security) OR Cybersecurity", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 19 February 2020 at 12:59 UTC.
The requested start date was Wednesday, 19 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 1-hour, 48-minute period from Thursday, 13 February 2020 at 11:16 UTC to Friday, 14 February 2020 at 13:05 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 : 4937
Unique Edges : 6677
Edges With Duplicates : 2579
Total Edges : 9256
Number of Edge Types : 4
Tweet : 1881
MentionsInRetweet : 4821
Mentions : 2425
Replies to : 129
Self-Loops : 1881
Reciprocated Vertex Pair Ratio : 0.0209059233449477
Reciprocated Edge Ratio : 0.0409556313993174
Connected Components : 1122
Single-Vertex Connected Components : 599
Maximum Vertices in a Connected Component : 2624
Maximum Edges in a Connected Component : 6798
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.440939
Graph Density : 0.000252492589775417
Modularity : 0.617515
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 4,937 Twitter users whose tweets in the requested range contained "(Cyber Security) OR Cybersecurity", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 19 February 2020 at 12:59 UTC.
The requested start date was Wednesday, 19 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 1-hour, 48-minute period from Thursday, 13 February 2020 at 11:16 UTC to Friday, 14 February 2020 at 13:05 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 : (Cyber Security) OR Cybersecurity
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:
[611] cyber,security [207] gt,gt [163] #cybersecurity,#infosec [84] private,data [84] read,details [82] 500,chrome [81] browser,extensions [80] extensions,caught [80] caught,stealing [80] stealing,private Top Word Pairs in Tweet in G1:
[109] cyber,security [21] cybersecurity,202 [18] rules,cybersecurity [15] #cybersecurity,#infosec [14] census,next [14] next,big [14] big,hacking [14] hacking,disinformation [14] disinformation,target [13] find,more Top Word Pairs in Tweet in G2:
[34] cyber,security [27] #cybersecurity,#infosec [25] learn,more [14] gt,gt [13] shulab,#cybercrime [12] #dgb,#crypto [12] #cybersecurity,#dataprotection [11] data,breach [10] #bullish,#speed [10] #speed,#dgb Top Word Pairs in Tweet in G3:
[56] cyber,security [47] #cybersecurity,#infosec [30] gt,gt [28] #ciso,#cio [24] #cybersecurity,#security [24] #infosec,#cybersecurity [23] sample,submitted [23] submitted,2020 [23] 2020,02 [22] #cyber,#security Top Word Pairs in Tweet in G4:
[133] gt,gt [28] #ai,#iot [28] mikequindazzi,gt [25] cyber,security [22] #emergingtech,solutions [22] solutions,consider [22] consider,2020 [22] mulesoft,mikequindazzi [22] gt,#megatrends [21] #megatrends,#ai Top Word Pairs in Tweet in G5:
[55] cyber,security [10] security,challenge [10] #cybersecurity,mr [10] mr,robot [10] robot,life [10] life,scenarios [10] scenarios,vol [10] vol,#udemyfree [10] #udemyfree,#udemycoupon [10] #udemycoupon,gt Top Word Pairs in Tweet in G6:
[28] angelicagallegs,yukarikingdom18 [28] yukarikingdom18,mhall55nine [28] mhall55nine,eoff_sylvia [18] marinella_maria,mariangelasant8 [18] mariangelasant8,sminaev2015 [18] sminaev2015,frisesally [18] frisesally,angelicagallegs [16] arnabch01,marinella_maria [16] eoff_sylvia,mont [14] cyber,security Top Word Pairs in Tweet in G7:
[71] 500,chrome [71] extensions,caught [71] caught,stealing [71] stealing,private [71] private,data [71] million,users [71] read,details [69] watch,500 [69] chrome,browser [69] browser,extensions Top Word Pairs in Tweet in G8:
[15] 5g,networks [13] #5g,#cybersecurity [11] future,digital [11] digital,society [11] built,5g [10] society,built [9] minister,timoharakka [9] timoharakka,lvmfi [9] lvmfi,traficomfinland [9] traficomfinland,#le5gforum Top Word Pairs in Tweet in G9:
[3] gigibuddapdx,rickyqvaughn [3] rickyqvaughn,lou_bruette [3] lou_bruette,sonadorliveson [3] sonadorliveson,patriqt_1776 [3] patriqt_1776,42gnome [3] 42gnome,lor_blueeyes [3] lor_blueeyes,dogsbcool [3] dogsbcool,atillanemisis [2] donaghuenauman,gigibuddapdx Top Word Pairs in Tweet in G10:
[43] cyber,security [42] annual,cyber [34] minister,communications [32] security,conference [32] communications,#digitaleconomy [27] honourable,minister [25] #digitaleconomy,drisapantami [19] focused,strengthening [18] conference,organized [18] organized,ngcomcommission Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: