The graph represents a network of 4,183 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 June 2020 at 06:28 UTC.
The requested start date was Tuesday, 16 June 2020 at 00:01 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, 2-hour, 47-minute period from Friday, 12 June 2020 at 03:14 UTC to Saturday, 13 June 2020 at 06:01 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 : 4183
Unique Edges : 2892
Edges With Duplicates : 9383
Total Edges : 12275
Number of Edge Types : 5
Retweet : 4069
MentionsInRetweet : 5374
Mentions : 1480
Tweet : 1266
Replies to : 86
Self-Loops : 1314
Reciprocated Vertex Pair Ratio : 0.0108043217286915
Reciprocated Edge Ratio : 0.0213776722090261
Connected Components : 553
Single-Vertex Connected Components : 274
Maximum Vertices in a Connected Component : 2994
Maximum Edges in a Connected Component : 10523
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.600061
Graph Density : 0.000336928880109912
Modularity : 0.432244
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,183 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 June 2020 at 06:28 UTC.
The requested start date was Tuesday, 16 June 2020 at 00:01 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, 2-hour, 47-minute period from Friday, 12 June 2020 at 03:14 UTC to Saturday, 13 June 2020 at 06:01 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 G2:
[97] cyber,security [42] masters,degree [41] degree,cyber [34] security,2020 [31] 2020,first [27] first,person [27] person,entire [22] entire,family [22] family,go [21] go,college Top Word Pairs in Tweet in G3:
[655] #startups,aspiring [647] aspiring,#entrepreneurs [647] #analytics,#datascience [647] #dataprotection,#cybersecurity [647] #cybersecurity,elements [647] elements,ideally [647] ideally,know [647] know,#startups [647] #fintech,#cybersecurity [647] #bigdata,#machinelearning Top Word Pairs in Tweet in G4:
[130] cyber,security [130] fbi,warns [107] warns,hackers [73] hackers,targeting [70] targeting,mobile [70] mobile,banking [70] banking,apps [70] deletes,over [65] over,170 [64] 170,000 Top Word Pairs in Tweet in G5:
[52] twitter,deletes [17] deletes,over [17] over,170 [17] 170,000 [17] 000,accounts [17] accounts,tied [17] tied,chinese [15] chinese,propaganda [15] propaganda,efforts [15] thehill,twitter Top Word Pairs in Tweet in G6:
[189] mikequindazzi,antgrasso [189] #infosec,#cybersecurity [189] webimprints,#infosec [189] fisher85m,cc [189] cc,mikequindazzi [189] mt,fisher85m [189] #cybersecurity,#infosec [189] #cybersecurity,#iot [189] antgrasso,#cybersecurity [183] #iot,#mobile Top Word Pairs in Tweet in G7:
[30] #china,built [29] built,twitter [24] twitter,propaganda [22] propaganda,machine [22] machine,loose [16] loose,#coronavirus [14] #coronavirus,26k [14] 26k,accounts [13] accounts,suspended [13] suspended,#rt Top Word Pairs in Tweet in G8:
[13] #covid19,continues [13] continues,disrupt [13] disrupt,industries [13] industries,sectors [13] sectors,indian [13] indian,companies [13] companies,investing [13] investing,emerging [13] emerging,technologies [13] omkar_raii,#covid19 Top Word Pairs in Tweet in G9:
[53] zevshalev,narativlive [53] narativlive,think [53] think,bill [53] bill,barr [53] barr,knows [53] knows,sisters' [53] sisters',work [53] work,cybersecurity [53] cybersecurity,promis [52] ericgarland,zevshalev Top Word Pairs in Tweet in G10:
[54] thetotalwipeout,wearewhiterose_ [54] spartacuslives,felixanchor__ [54] felixanchor__,thetotalwipeout [54] wearewhiterose_,janettxblessed [54] janettxblessed,meltinginmarana [54] meltinginmarana,arkiegirl01 [54] arkiegirl01,dunbdav [54] yourtimescome,spartacuslives [54] yourtimescome,wearewhiterose_ [53] wearewhiterose_,israelandusa Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: