The graph represents a network of 4,427 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, 11 December 2019 at 12:59 UTC.
The requested start date was Wednesday, 11 December 2019 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, 40-minute period from Monday, 09 December 2019 at 11:25 UTC to Tuesday, 10 December 2019 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 : 4427
Unique Edges : 6141
Edges With Duplicates : 2483
Total Edges : 8624
Number of Edge Types : 3
Replies to : 291
Mentions : 6349
Tweet : 1984
Self-Loops : 1984
Reciprocated Vertex Pair Ratio : 0.0178442682047585
Reciprocated Edge Ratio : 0.0350628652381796
Connected Components : 927
Single-Vertex Connected Components : 529
Maximum Vertices in a Connected Component : 2504
Maximum Edges in a Connected Component : 6588
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.483042
Graph Density : 0.000288201910982305
Modularity : 0.599236
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 4,427 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, 11 December 2019 at 12:59 UTC.
The requested start date was Wednesday, 11 December 2019 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, 40-minute period from Monday, 09 December 2019 at 11:25 UTC to Tuesday, 10 December 2019 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:
[516] cyber,security [216] #cybersecurity,#infosec [131] dm,link [131] link,ebook [121] #cybersecurity,#hacker [120] #cybersecurity,everybody [120] everybody,business [120] business,dm [100] #infosec,#cybersecurity [90] #ai,#ia Top Word Pairs in Tweet in G1:
[97] cyber,security [17] cybersecurity,202 [13] cyber,attacks [10] cybersecurity,experts [10] stark,warning [10] warning,2020 [9] 2020,technology [9] gets,weirder [9] weirder,ready [9] efforts,target Top Word Pairs in Tweet in G2:
[46] #cybersecurity,#infosec [43] #analytics,#bigdata [40] cyber,security [40] benefit,#iot [40] #iot,#infographic [40] #4ir,#cio [37] #iot,#ai [37] #enterprise,benefit [37] #infographic,mikequindazzi [37] mikequindazzi,#analytics Top Word Pairs in Tweet in G3:
[33] #cybersecurity,#infosec [25] #infosec,#cybersecurity [21] cyberdomain,#cybersecurity [21] #cybersecurity,#hacker [20] #security,#cybersecurity [18] cyber,security [12] #pcexpander,#cybernews [11] gt,gt [11] learn,more [10] #cybersecurity,#databreach Top Word Pairs in Tweet in G4:
[85] #ai,#ia [79] #ia,#bigdata [76] #bigdata,#blockchain [72] #blockchain,#robots [62] #robots,#startup [58] #cybersecurity,#infosec [51] #startup,#python [42] #python,#chatbot [40] #deeplearning,#datascience [40] #javascript,#security Top Word Pairs in Tweet in G5:
[85] #cybersecurity,#hacker [44] #cybersecurity,#infosec [28] cyber,security [19] #infosec,#cybersecurity [15] product,info [14] #infosec,#cybersec [13] #cybersec,#cybersecurity [12] phishfindr,found [12] gt,found [12] found,today Top Word Pairs in Tweet in G6:
[131] dm,link [131] link,ebook [120] #cybersecurity,everybody [120] everybody,business [120] business,dm [70] book,covers [70] covers,#cyberinsurance [70] #cyberinsurance,#ransomware [70] #ransomware,#cryptocurrency [70] #cryptocurrency,#cardskimmers Top Word Pairs in Tweet in G7:
[11] cyber,security [11] cybersecurity,much [11] much,more [11] more,simply [11] simply,installing [11] installing,#antivirus [11] #antivirus,#solution [11] #solution,place [11] place,work [11] work,end Top Word Pairs in Tweet in G8:
[30] cyber,security [14] inim,electronics [13] #poc,#cybersecurity [13] #cybersecurity,#exploit [13] #exploit,#pentest [13] #pentest,#vulnerability [13] electronics,smartliving [13] smartliving,smartlan [12] open,source [10] trustwave,spiderlabs Top Word Pairs in Tweet in G9:
[16] #digitaltransformation,#iot [11] #iot,#infographic [10] #datalake,vs [10] vs,#datawarehouse [10] #datawarehouse,key [10] key,differences [10] differences,#digitaltransformation [9] r_demidchuk,#datalake [9] #infographic,#artif [6] accenture,offers Top Word Pairs in Tweet in G10:
[9] dhipa,lee [9] dll,hijacking [9] hijacking,writeups [9] writeups,guide [8] #aabill,#cybersecurity [8] shmalav,dll [7] ep,#techleaderstalk [7] #techleaderstalk,#podcast [7] #podcast,chat [7] chat,dhipa Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: