The graph represents a network of 4,053 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 Tuesday, 15 June 2021 at 06:42 UTC.
The requested start date was Tuesday, 15 June 2021 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 2-day, 1-hour, 40-minute period from Saturday, 12 June 2021 at 22:20 UTC to Tuesday, 15 June 2021 at 00:01 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 : 4053
Unique Edges : 3393
Edges With Duplicates : 14204
Total Edges : 17597
Number of Edge Types : 5
Mentions : 1575
Tweet : 2215
MentionsInRetweet : 7714
Retweet : 5908
Replies to : 185
Self-Loops : 2296
Reciprocated Vertex Pair Ratio : 0.00987432675044883
Reciprocated Edge Ratio : 0.0195555555555556
Connected Components : 718
Single-Vertex Connected Components : 345
Maximum Vertices in a Connected Component : 2372
Maximum Edges in a Connected Component : 15250
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.122849
Graph Density : 0.000411015057399623
Modularity : 0.332711
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,053 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 Tuesday, 15 June 2021 at 06:42 UTC.
The requested start date was Tuesday, 15 June 2021 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 2-day, 1-hour, 40-minute period from Saturday, 12 June 2021 at 22:20 UTC to Tuesday, 15 June 2021 at 00:01 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:
[474] #javascript,#github [456] #lowcode,#javascript [441] cyber,security [408] #github,#nodejs [341] #cybersecurity,#infosec [282] #100daysofcode,#devcommunity [274] #nodejs,#cybersecurity [210] #cybersecurity,#devops [184] #ransomware,#cryptocurrency [182] #devcommunity,#codinglife Top Word Pairs in Tweet in G1:
[176] #cybersecurity,#infosec [104] #cybersecurity,#cyberattack [99] #100daysofcode,#devcommunity [98] #infosec,#ethicalhacking [94] #cybersecurity,#cybersecuritytips [91] #cybersecuritytips,#cybersecuritynews [91] #cybersecuritynews,#infosec [87] #devcommunity,#codinglife [84] #codinglife,#cybersecurity [81] #infosec,#cybersecurity Top Word Pairs in Tweet in G2:
[60] #cybersecurity,#infosec [31] #infosec,#cybersecurity [30] #cybersecurity,#security [24] give,give [21] cyber,security [20] #follow,#rt [19] #rt,#cybersecurity [19] #infosec,#security [16] #security,#cybersecurity [16] #machinelearning,#5g Top Word Pairs in Tweet in G3:
[443] #javascript,#github [426] #lowcode,#javascript [379] #github,#nodejs [257] #nodejs,#cybersecurity [197] #cybersecurity,#devops [177] #ransomware,#cryptocurrency [166] #100daysofcode,#devcommunity [162] #devops,#100daysofcode [155] #nocode,#lowcode [154] #bigdata,#rstats Top Word Pairs in Tweet in G4:
[114] cyber,security [55] immersive,labs [52] training,platform [52] platform,immersive [52] labs,closes [52] closes,75m [52] 75m,series [52] series,led [52] led,insight [51] security,training Top Word Pairs in Tweet in G5:
[22] artificial,intelligence [15] #iot,#iiot [13] learn,more [11] #machinelearning,combats [11] combats,financial [11] financial,#cybercrime [11] #cybercrime,ellery [11] ellery,galvin [11] galvin,igorkaufman [11] igorkaufman,bdtechtalks Top Word Pairs in Tweet in G6:
[26] #fbi,implementing [26] implementing,recent [26] recent,executive [26] executive,order [26] order,improve [26] improve,nation [26] nation,#cybersecurity [26] #cybersecurity,fbi [26] fbi,turning [26] turning,tables Top Word Pairs in Tweet in G7:
[12] monster,#cyberattack [12] #cyberattack,#sita [12] #sita,global [12] global,provider [12] provider,90 [12] 90,world [12] world,airline [12] airline,industry [12] industry,slowly [12] slowly,unfurling Top Word Pairs in Tweet in G8:
[21] great,tool [21] tool,worth [21] worth,view [21] view,repo [21] repo,attack [21] attack,surface [21] surface,analyzer [21] analyzer,help [21] help,analyze [21] analyze,operating Top Word Pairs in Tweet in G9:
[23] nato,summit [23] summit,leaders [23] leaders,agree [23] agree,china [23] china,presents [23] presents,security [23] security,risk [22] over,72 [22] 72,years [22] years,nato Top Word Pairs in Tweet in G10:
[5] cyber,ninjas [4] cyfir,az [4] az,audit [4] audit,subcontractor [4] subcontractor,cyber [4] ninjas,following [4] following,industry [4] industry,best [4] best,practices [4] practices,maintaining 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: