The graph represents a network of 4,041 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, 07 December 2021 at 07:52 UTC.
The requested start date was Tuesday, 07 December 2021 at 01:01 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, 26-minute period from Saturday, 04 December 2021 at 22:55 UTC to Tuesday, 07 December 2021 at 00:21 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 : 4041
Unique Edges : 3006
Edges With Duplicates : 13792
Total Edges : 16798
Number of Edge Types : 5
Retweet : 5899
MentionsInRetweet : 6881
Tweet : 2358
Mentions : 1502
Replies to : 158
Self-Loops : 2475
Reciprocated Vertex Pair Ratio : 0.00748808713410483
Reciprocated Edge Ratio : 0.0148648648648649
Connected Components : 626
Single-Vertex Connected Components : 281
Maximum Vertices in a Connected Component : 2395
Maximum Edges in a Connected Component : 14482
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.875408
Graph Density : 0.000362619780909049
Modularity : 0.318877
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,041 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, 07 December 2021 at 07:52 UTC.
The requested start date was Tuesday, 07 December 2021 at 01:01 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, 26-minute period from Saturday, 04 December 2021 at 22:55 UTC to Tuesday, 07 December 2021 at 00:21 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:
[883] #devcommunity,#technology [882] #bigdata,#devcommunity [758] #technology,#programming [689] #programming,#ai [620] sign,free [619] need,job [619] job,sign [619] free,middlemen [546] jobpreference,need [543] middlemen,#job Top Word Pairs in Tweet in G1:
[65] gt,gt [58] cyber,security [53] #cybersecurity,#infosec [35] #infosec,#cybersecurity [27] #bigdata,#devcommunity [26] #devcommunity,#technology [24] need,job [24] job,sign [24] sign,free [24] free,middlemen Top Word Pairs in Tweet in G2:
[227] #infosec,#infosecurity [212] #infosecurity,#cybersecurity [164] #infosec,#cybersecurity [156] #cybersecurity,#threatintel [137] #cybersecurity,#infosec [131] #threatintel,#threatintelligence [129] #malware,#ransomware [128] #threatintelligence,#hacking [128] #hacking,#cybernews [128] #cybernews,#cyberattack Top Word Pairs in Tweet in G3:
[827] #devcommunity,#technology [825] #bigdata,#devcommunity [712] #technology,#programming [651] #programming,#ai [555] need,job [555] job,sign [555] sign,free [555] free,middlemen [504] #ai,#iiot [491] middlemen,#job Top Word Pairs in Tweet in G4:
[66] cyber,security [21] security,advisory [20] arbitrary,cyber [20] advisory,system [20] system,elevated [7] learn,more [7] predictive,cybersecurity [7] cybersecurity,first [7] first,line [7] line,defense Top Word Pairs in Tweet in G5:
[10] safe,#password [10] #password,statistacharts [10] #cybersecurity,#infosec [6] #machinelearning,#ml [6] statistacharts,nicochan33 [6] nicochan33,labordeolivier [6] labordeolivier,shi4tech [6] shi4tech,mvollmer1 [6] mvollmer1,#cybersecurity [5] learn,more Top Word Pairs in Tweet in G6:
[144] michael,owens [144] owens,democrat [144] democrat,running [144] running,secretary [144] secretary,state [144] state,georgia [144] georgia,marine [144] marine,corps [144] corps,vet [144] vet,cybersecurity Top Word Pairs in Tweet in G7:
[127] #infosec,#cybersecurity [120] #cybersecurity,#pentesting [98] #pentesting,#oscp [80] #oscp,#cheatsheet [67] #informationsecurity,#hacking [65] #cheatsheet,#informationsecurity [64] #hacking,#ctf [60] #ctf,#blueteam [55] credit,#infosec [40] day,#infosec Top Word Pairs in Tweet in G8:
[64] #buildbackbetter,act [63] act,makes [63] makes,critical [63] critical,investments [63] investments,child [63] child,care [63] care,health [63] health,care [63] care,clean [63] clean,energy Top Word Pairs in Tweet in G9:
[71] 2020,election [70] former,cybersecurity [70] cybersecurity,official [70] official,tracked [70] tracked,2020 [70] election,integrity [70] integrity,dhs [70] dhs,powell [70] powell,fundraising [70] fundraising,success Top Word Pairs in Tweet in G10:
[20] 0xmahmoudjo0,#bugbountytips [20] #bugbountytips,found [20] found,gitlab [20] gitlab,instance [20] instance,try [20] try,login [20] login,root [20] root,admin [20] admin,those [20] those,credentials 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 G7:
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: