The graph represents a network of 6,268 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, 01 September 2020 at 06:44 UTC.
The requested start date was Tuesday, 01 September 2020 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, 3-hour, 5-minute period from Saturday, 29 August 2020 at 19:12 UTC to Monday, 31 August 2020 at 22:18 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 : 6268
Unique Edges : 4585
Edges With Duplicates : 11846
Total Edges : 16431
Number of Edge Types : 5
Retweet : 4914
MentionsInRetweet : 6388
Replies to : 228
Mentions : 2413
Tweet : 2488
Self-Loops : 2659
Reciprocated Vertex Pair Ratio : 0.0220345692043805
Reciprocated Edge Ratio : 0.0431190291763491
Connected Components : 1318
Single-Vertex Connected Components : 729
Maximum Vertices in a Connected Component : 3388
Maximum Edges in a Connected Component : 12262
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.529388
Graph Density : 0.000197191781303164
Modularity : 0.447999
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 6,268 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, 01 September 2020 at 06:44 UTC.
The requested start date was Tuesday, 01 September 2020 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, 3-hour, 5-minute period from Saturday, 29 August 2020 at 19:12 UTC to Monday, 31 August 2020 at 22:18 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:
[723] cyber,security [510] election,security [483] person,election [482] two,people [482] people,familiar [482] familiar,matter [482] matter,tell [482] tell,nbc [482] nbc,news [482] news,fbi Top Word Pairs in Tweet in G1:
[121] gt,gt [85] #analytics,#datascience [72] #cybersecurity,#security [71] top,10 [68] #cybersecurity,#infosec [68] #machinelearning,#deeplearning [65] cyber,security [57] 10,#industry40 [57] trends,innovations [57] innovations,2020 Top Word Pairs in Tweet in G2:
[142] cyber,security [22] #infosec,#cybersecurity [21] learn,more [16] #cybersecurity,#security [13] #security,#cybersecurity [13] #cybersecurity,#infosec [12] #cybersecurity,#privacy [11] covid,19 [10] cybersecurity,privacy [10] data,breach Top Word Pairs in Tweet in G3:
[166] #infosec,#cybersecurity [141] #cybersecurity,#infosec [102] #cybersecurity,#digital [93] #digital,#hackers [77] #hackers,#infosec [54] #cybersecurity,#cyberattack [53] #infosec,reach2ratan [52] #privacy,#infosec [48] #dataprotection,#privacy [48] #infosec,#cyberthreats Top Word Pairs in Tweet in G4:
[479] two,people [479] people,familiar [479] familiar,matter [479] matter,tell [479] tell,nbc [479] nbc,news [479] news,fbi [479] fbi,dhs [479] dhs,plan [479] plan,continue Top Word Pairs in Tweet in G5:
[54] cyber,security [43] dms,open [43] open,anyone [43] anyone,needs [43] needs,guidance [43] guidance,cyber [43] security,journey [42] calumboal,dms [35] still,need [35] need,help Top Word Pairs in Tweet in G6:
[23] #cybersecurity,#security [15] #internetofthings,#cybersecurity [10] small,business [9] state,secretary [9] secretary,tkajzer [9] tkajzer,wrapped [9] wrapped,#bsf2020 [9] #bsf2020,world [9] world,order [9] order,strong Top Word Pairs in Tweet in G7:
[52] #guestpost,#news [49] #news,#worldnews [43] cyber,security [15] thank,following [12] following,let's [12] let's,friendly [12] friendly,exchange [11] grazytgrazynatt,influencerprom1 [10] #it,#ai [10] #influencerpromotion,#topcasestudy Top Word Pairs in Tweet in G8:
[14] cyber,security [7] #cybersecurity,#infosec [5] security,market [5] digital,transformation [5] csoonline,#cybersecurity [5] #cybersecurity,#cyberthreat [5] #cyberthreat,#technology [4] happens,enterprise [4] enterprise,meets [4] meets,academia Top Word Pairs in Tweet in G9:
[26] cyber,security [19] #eccentricbandwagon,#vivaciousgift [14] #icymi,samples [14] samples,#fastcash [14] #fastcash,recently [14] recently,attributed [14] attributed,samples [14] samples,dprk's [14] dprk's,#eccentricbandwagon [13] cnmf_cyberalert,#icymi Top Word Pairs in Tweet in G10:
[59] released,malwoverview [59] malwoverview,malwoverview [59] malwoverview,gathers [59] gathers,information [59] information,malpedia [59] malpedia,alien [58] #infosec,#hacking [58] ale_sp_brazil,released [58] alien,vaul [43] #hacking,#hackers Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: