The graph represents a network of 4,510 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, 06 September 2022 at 06:39 UTC.
The requested start date was Tuesday, 06 September 2022 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, 2-hour, 17-minute period from Saturday, 03 September 2022 at 21:43 UTC to Tuesday, 06 September 2022 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 : 4510
Unique Edges : 2362
Edges With Duplicates : 13557
Total Edges : 15919
Number of Edge Types : 5
Tweet : 1991
Retweet : 5948
MentionsInRetweet : 6753
Mentions : 987
Replies to : 240
Self-Loops : 2174
Reciprocated Vertex Pair Ratio : 0.00675105485232068
Reciprocated Edge Ratio : 0.0134115674769489
Connected Components : 747
Single-Vertex Connected Components : 362
Maximum Vertices in a Connected Component : 2852
Maximum Edges in a Connected Component : 13632
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.713423
Graph Density : 0.000293328101127137
Modularity : 0.346098
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 4,510 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, 06 September 2022 at 06:39 UTC.
The requested start date was Tuesday, 06 September 2022 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, 2-hour, 17-minute period from Saturday, 03 September 2022 at 21:43 UTC to Tuesday, 06 September 2022 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:
[898] assignment,help [883] #cybersecurity,#bigdata [872] quality,assignment [861] essay,pay [858] exams,homework [855] ecology,anatomy [854] biology,chemistry [852] #machinelearning,#datascience [849] homework,biology [848] help,essay Top Word Pairs in Tweet in G1:
[637] breaking,report [637] report,shopper [637] shopper,goodwill [637] goodwill,pays [637] pays,99 [637] 99,dominion [637] dominion,voting [637] voting,machine [637] machine,sells [637] sells,ebay Top Word Pairs in Tweet in G2:
[856] assignment,help [832] quality,assignment [822] essay,pay [818] #cybersecurity,#bigdata [817] exams,homework [815] ecology,anatomy [813] biology,chemistry [810] help,essay [809] homework,biology [808] hmu,quality Top Word Pairs in Tweet in G3:
[410] #infosec,#cybersecurity [317] #pentesting,#oscp [204] cheat,sheet [199] #cybersecurity,#pentesting [148] #oscp,#informationsecurity [148] #cybersecurity,#cybersecuritytips [126] #cybersecuritytips,#pentesting [120] credit,#infosec [116] #oscp,#redteam [109] sheet,credit Top Word Pairs in Tweet in G4:
[118] #cybersecurity,#infosec [108] #infosec,#cybersecurity [65] #pentesting,#oscp [46] #oscp,#informationsecurity [44] #cybersecurity,#cybersecuritytips [42] cheat,sheet [42] #news,#cybersecurity [39] #cybersecuritytips,#pentesting [38] assignment,help [37] essay,pay Top Word Pairs in Tweet in G5:
[83] cyber,security [26] hacked,account [14] security,analyst [13] advise,reach [13] reach,duncracks [13] duncracks,instagram [13] instagram,cyber [13] analyst,works [13] works,meta [13] meta,specialized Top Word Pairs in Tweet in G6:
[8] today,businesses [8] businesses,always [8] always,looking [8] looking,defend [8] defend,against [8] against,cyberattacks [8] cyberattacks,good [8] good,thing [8] thing,cybersecurity [8] cybersecurity,business Top Word Pairs in Tweet in G7:
[35] certified,cybersecurity [34] open,free [33] cybersecurity,training [32] free,isc [32] isc,certified [31] wanting,cyber [31] cyber,registration [31] registration,open [30] teneikaask_you,wanting [24] list,30 Top Word Pairs in Tweet in G8:
[79] mourn,loss [79] loss,activist [79] activist,cybersecurity [79] cybersecurity,expert [79] expert,peter [79] peter,eckersley [79] eckersley,whose [79] whose,heart [79] heart,vision [79] vision,never Top Word Pairs in Tweet in G9:
[39] jonathan,scott [38] thread,people [38] people,wondering [38] wondering,jonathan [38] scott,jonathandata1 [38] jonathandata1,abusive [38] abusive,person [38] person,makes [38] makes,grand [37] maldr0id,thread Top Word Pairs in Tweet in G10:
[61] cyber,security [60] hi,tweeps [60] tweeps,transitioning [60] transitioning,tech [60] tech,community [60] community,management [60] management,cyber [60] security,long [60] long,break [60] break,need Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G9:
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: