The graph represents a network of 5,349 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 Saturday, 09 November 2019 at 10:25 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 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, 1-hour, 41-minute period from Monday, 04 November 2019 at 22:14 UTC to Tuesday, 05 November 2019 at 23:56 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 : 5349
Unique Edges : 6522
Edges With Duplicates : 1686
Total Edges : 8208
Number of Edge Types : 3
Mentions : 6460
Tweet : 1601
Replies to : 147
Self-Loops : 1601
Reciprocated Vertex Pair Ratio : 0.0134003350083752
Reciprocated Edge Ratio : 0.0264462809917355
Connected Components : 853
Single-Vertex Connected Components : 471
Maximum Vertices in a Connected Component : 3584
Maximum Edges in a Connected Component : 6286
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.518811
Graph Density : 0.000211490750408334
Modularity : 0.686235
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,349 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 Saturday, 09 November 2019 at 10:25 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 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, 1-hour, 41-minute period from Monday, 04 November 2019 at 22:14 UTC to Tuesday, 05 November 2019 at 23:56 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1294] russiaâ,s [1291] head,russiaâ [754] announced,russia [753] comes,one [753] one,day [753] day,head [753] s,fsb [753] fsb,announced [753] russia,resuming [753] resuming,cooperation Top Word Pairs in Tweet in G1:
[1037] head,russiaâ [1037] russiaâ,s [727] comes,one [727] one,day [727] day,head [727] s,fsb [727] fsb,announced [727] announced,russia [727] russia,resuming [727] resuming,cooperation Top Word Pairs in Tweet in G2:
[154] ðÿ,ðÿ [83] #cybersecurity,#hacker [63] #cybersecurity,#infosec [52] #infosec,#cybersecurity [43] ø,ù [42] ã,ã [39] ù,ø [37] #cybersecurity,#databreach [32] ù,ù [29] #cybersecurity,#cyberattack Top Word Pairs in Tweet in G3:
[73] cyber,security [41] ã,ã [28] ø,ø [19] ãƒ,ム[14] ø,ù [14] ã,ム[13] teaming,up [13] check,out [12] top,spy [12] d,c Top Word Pairs in Tweet in G4:
[26] cyber,security [21] #infosec,#hacking [19] #ucsbinfosec,#ucsb [19] #ucsb,#itsecurity [19] #itsecurity,#cybersecurity [19] #cybersecurity,#uccyberstrong [15] 50,influential [15] influential,women [15] women,cybersecurity [13] check,out Top Word Pairs in Tweet in G5:
[94] head,russiaâ [94] russiaâ,s [92] s,state [92] state,security [92] security,service [92] service,fsb [92] fsb,made [92] made,surprising [92] surprising,announcement [92] announcement,russia Top Word Pairs in Tweet in G6:
[132] russiaâ,s [131] head,russiaâ [129] jennycohn1,â [123] s,state [123] state,security [123] security,service [123] service,fsb [123] fsb,made [123] made,surprising [123] surprising,announcement Top Word Pairs in Tweet in G7:
[42] cyber,security [11] senators,introduce [11] introduce,legislation [11] legislation,expanding [11] expanding,cybersecurity [11] cybersecurity,workforce [11] â,putinâ [11] putinâ,s [11] s,top [11] top,spy Top Word Pairs in Tweet in G8:
[8] â,œwe [8] œwe,didnâ [8] didnâ,t [8] t,give [8] give,shit [8] shit,pwd [8] pwd,mgmt [8] mgmt,now [8] now,iran [8] iran,taken Top Word Pairs in Tweet in G9:
[124] white,house [62] house,computer [62] computer,security [62] security,chief [62] chief,dimitrios [62] dimitrios,vistakis [62] vistakis,resigned [62] resigned,warned [62] warned,white [62] house,asking Top Word Pairs in Tweet in G10:
[20] #pcexpander,#cybernews [18] #cybernews,#nonstopnews [18] #nonstopnews,#cybersecurity [18] #cybersecurity,#cyberattack [18] #cyberattack,#tecnology [18] #tecnology,#news [10] #infosec,#cybersecurity [9] #cybersecurity,#infosec [8] right,amount [8] amount,vendor 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 G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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: