The graph represents a network of 4,710 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, 16 February 2021 at 07:38 UTC.
The requested start date was Tuesday, 16 February 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, 22-hour, 50-minute period from Saturday, 13 February 2021 at 02:10 UTC to Tuesday, 16 February 2021 at 01:00 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 : 4710
Unique Edges : 3360
Edges With Duplicates : 15476
Total Edges : 18836
Number of Edge Types : 5
Retweet : 6604
MentionsInRetweet : 8850
Tweet : 1448
Mentions : 1771
Replies to : 163
Self-Loops : 1512
Reciprocated Vertex Pair Ratio : 0.00783860190182472
Reciprocated Edge Ratio : 0.0155552722172638
Connected Components : 464
Single-Vertex Connected Components : 205
Maximum Vertices in a Connected Component : 3655
Maximum Edges in a Connected Component : 17413
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.825546
Graph Density : 0.000353616578273794
Modularity : 0.364837
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 4,710 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, 16 February 2021 at 07:38 UTC.
The requested start date was Tuesday, 16 February 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, 22-hour, 50-minute period from Saturday, 13 February 2021 at 02:10 UTC to Tuesday, 16 February 2021 at 01:00 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:
[787] #ai,#100daysofcode [774] computer,federation [768] cybersecurity,bill [766] #myanmar,computer [766] federation,invited [766] invited,comment [766] statement,strongly [758] comment,junta's [758] junta's,cybersecurity [758] bill,released Top Word Pairs in Tweet in G1:
[755] computer,federation [748] #myanmar,computer [748] federation,invited [748] invited,comment [748] comment,junta's [748] junta's,cybersecurity [748] cybersecurity,bill [748] bill,released [748] released,statement [748] statement,strongly Top Word Pairs in Tweet in G2:
[753] #ai,#100daysofcode [470] #iot,#iotpl [445] #iotpl,#ai [442] #programming,#iot [438] #devcommunity,#programming [288] #100daysofcode,#machinelearning [273] #machinelearning,#python [262] #machinelearning,#ml [222] #python,#ai [214] #machinelearning,#datascience Top Word Pairs in Tweet in G3:
[40] #cybersecurity,#infosec [30] #ai,#100daysofcode [28] gt,gt [28] #infosec,#cybersecurity [24] cyber,security [22] #iot,#iotpl [22] #machinelearning,#python [21] artificial,intelligence [20] #python,#ai [19] #digitaltransformation,#cloud Top Word Pairs in Tweet in G4:
[17] #cybersecurity,#infosec [12] #infosec,#cybersecurity [10] #security,#cybersecurity [9] cyber,security [7] steps,improve [7] #tech,#technology [6] sweeping,powers [6] access,user [6] user,data [6] gt,gt Top Word Pairs in Tweet in G5:
[212] friday,feb [212] feb,19th [212] 19th,giving [212] giving,away [212] away,vip [212] vip,code [212] code,hackthebox_eu [212] hackthebox_eu,enter [212] enter,need [212] need,follow Top Word Pairs in Tweet in G6:
[43] cyber,security [8] cybersecurity,experts [5] healthcare,cybersecurity [4] #infosec,#cybersecurity [4] security,analyst [4] lost,internet [4] internet,again [4] again,china [4] providing,technical [4] technical,support Top Word Pairs in Tweet in G7:
[176] myanmar,military [176] military,junta [176] junta,proposing [176] proposing,draconian [176] draconian,bill [176] bill,give [176] give,sweeping [176] sweeping,powers [176] powers,access [176] access,user Top Word Pairs in Tweet in G8:
[158] msnbc,time [158] time,stop [158] stop,reporting [158] reporting,trump [158] trump,phase [158] phase,start [158] start,reporting [158] reporting,russian [158] russian,chinese [158] chinese,hacking Top Word Pairs in Tweet in G9:
[77] takes,very [77] very,special [77] special,skill [77] skill,set [77] set,reverse [77] reverse,engineer [77] engineer,whole [77] whole,platform [77] platform,written [77] written,bad Top Word Pairs in Tweet in G10:
[22] cyber,security [15] draft,cyber [11] security,law [9] myanmar,draft [9] cyber,law [9] law,law [9] law,currently [9] currently,under [9] under,review [9] review,internet 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 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:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: