The graph represents a network of 3,949 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, 25 March 2020 at 10:09 UTC.
The requested start date was Wednesday, 25 March 2020 at 00:01 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, 2-hour, 47-minute period from Monday, 23 March 2020 at 03:38 UTC to Tuesday, 24 March 2020 at 06:25 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 : 3949
Unique Edges : 5820
Edges With Duplicates : 2417
Total Edges : 8237
Number of Edge Types : 4
Mentions : 1517
MentionsInRetweet : 4855
Tweet : 1783
Replies to : 82
Self-Loops : 1783
Reciprocated Vertex Pair Ratio : 0.00756286632633768
Reciprocated Edge Ratio : 0.0150121974103959
Connected Components : 731
Single-Vertex Connected Components : 535
Maximum Vertices in a Connected Component : 2319
Maximum Edges in a Connected Component : 6576
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.591674
Graph Density : 0.000341807385605169
Modularity : 0.531336
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 3,949 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, 25 March 2020 at 10:09 UTC.
The requested start date was Wednesday, 25 March 2020 at 00:01 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, 2-hour, 47-minute period from Monday, 23 March 2020 at 03:38 UTC to Tuesday, 24 March 2020 at 06:25 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:
[720] nth,room [720] room,refers [720] refers,mass [720] mass,digital [720] digital,sex [720] sex,abuse [720] abuse,happening [720] happening,south [720] south,korea [720] korea,using Top Word Pairs in Tweet in G1:
[300] sdssben,nth [300] nth,room [300] room,refers [300] refers,mass [300] mass,digital [300] digital,sex [300] sex,abuse [300] abuse,happening [300] happening,south [300] south,korea Top Word Pairs in Tweet in G2:
[52] covid,19 [37] #cybersecurity,#infosec [30] #infosec,#cybersecurity [22] working,home [20] cyber,security [18] #cybersecurity,#security [18] taking,advantage [18] learn,more [14] gt,gt [14] #cybersecurity,#privacy Top Word Pairs in Tweet in G3:
[420] nth,room [420] room,refers [420] refers,mass [420] mass,digital [420] digital,sex [420] sex,abuse [420] abuse,happening [420] happening,south [420] south,korea [420] korea,using Top Word Pairs in Tweet in G4:
[126] gt,gt [89] #cybersecurity,#digital [75] #digital,#hackers [51] #hackers,#infosec [37] covid,19 [37] #infosec,reach2ratan [37] reach2ratan,#ai [37] #ai,#ml [32] #infosec,#cybersecurity [31] #ml,#malware Top Word Pairs in Tweet in G5:
[59] cyber,security [35] covid,19 [34] #cyber,#security [24] sample,submitted [24] submitted,2020 [24] 2020,03 [21] #cybersecurity,#security [21] #malware,#cyber [20] dionaea,honeypot [20] honeypot,protocol Top Word Pairs in Tweet in G6:
[57] #cybersecurity,#infosec [51] #cybersecurity,#cisos [47] #infosec,#cybersecurity [33] #ransomware,#malware [26] #security,#cybersecurity [24] #cybersecurity,#digital [24] #cisos,#ransomware [22] #infosec,#ransomware [21] #digital,#hackers [19] #information,#infosec Top Word Pairs in Tweet in G7:
[117] warning,versions [117] versions,#microsoft [117] #microsoft,windows [117] windows,10 [117] 10,server [117] server,2008 [117] 2008,2012 [117] 2012,2016 [117] 2016,2019 [117] 2019,operating Top Word Pairs in Tweet in G8:
[62] #blockchain,warrant [62] warrant,cybersecurity [62] cybersecurity,enterprises [62] enterprises,providing [62] providing,decentralizsed [62] decentralizsed,storage [62] storage,solutions [62] solutions,keeping [62] keeping,data [61] omkar_raii,#blockchain Top Word Pairs in Tweet in G9:
[10] hyper,connected [10] connected,society [10] society,2022 [10] 2022,drastically [10] drastically,impact [10] impact,risk [10] risk,security [10] security,landscape [10] landscape,demand [9] antgrasso,hyper Top Word Pairs in Tweet in G10:
[24] cyber,security [18] around,world [15] york,based [15] based,computer [15] computer,hacker [15] hacker,harri [15] harri,hursti [15] hursti,traveled [15] traveled,around [15] world,expose Top Replied-To in Entire Graph:
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 G9:
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: