The graph represents a network of 7,283 Twitter users whose recent tweets contained "#RSAC", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 26 February 2020 at 03:43 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 51-minute period from Tuesday, 18 February 2020 at 11:52 UTC to Wednesday, 26 February 2020 at 01:43 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 : 7283
Unique Edges : 13795
Edges With Duplicates : 14174
Total Edges : 27969
Number of Edge Types : 5
Mentions : 6665
Replies to : 485
MentionsInRetweet : 12702
Retweet : 4410
Tweet : 3707
Self-Loops : 3745
Reciprocated Vertex Pair Ratio : 0.0254156315688897
Reciprocated Edge Ratio : 0.0495713753261275
Connected Components : 572
Single-Vertex Connected Components : 471
Maximum Vertices in a Connected Component : 6529
Maximum Edges in a Connected Component : 26799
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.83316
Graph Density : 0.000303536511475124
Modularity : 0.419151
NodeXL Version : 1.0.1.424
Data Import : The graph represents a network of 7,283 Twitter users whose recent tweets contained "#RSAC", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 26 February 2020 at 03:43 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 51-minute period from Tuesday, 18 February 2020 at 11:52 UTC to Wednesday, 26 February 2020 at 01:43 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 : TwitterSearch
Graph Term : #RSAC
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:
[1804] #rsac,#rsac2020 [1737] #rsac,2020 [874] learn,more [747] next,week [711] #rsac,#cybersecurity [646] san,francisco [524] rsa,conference [479] looking,forward [463] #cybersecurity,#infosec [450] stop,booth Top Word Pairs in Tweet in G1:
[347] #rsac,2020 [202] #rsac,#rsac2020 [163] next,week [158] san,francisco [137] rsaconference,2020 [118] stop,booth [116] learn,more [112] #rsac,booth [80] rsaconference,#rsac [73] visit,booth Top Word Pairs in Tweet in G2:
[344] #rsac,2020 [335] #rsac,#rsac2020 [158] rsaconference,#rsac [136] cloud,native [124] wendynather,#rsac [118] native,integrated [117] next,week [104] learn,more [102] san,francisco [87] rsa,conference Top Word Pairs in Tweet in G3:
[734] #rsac,#rsac2020 [394] #rsac,#cybersecurity [349] #rsac,2020 [310] #cybersecurity,#security [305] #cybersecurity,#infosec [273] #ciso,#cio [246] business,wire [236] learn,more [223] #cio,#cto [216] looking,forward Top Word Pairs in Tweet in G4:
[208] #hackers,#infosec [178] #cybersecurity,#hackers [177] #security,#cybersecurity [172] #rsac,#rsac2020 [160] #rsac,#cybersecurity [142] #rsac2020,#cybersecurity [141] kid,crack [141] crack,passwords [141] passwords,12 [141] 12,#rsac Top Word Pairs in Tweet in G5:
[106] #rsac,2020 [43] san,francisco [36] rsa,conference [31] next,week [31] learn,more [31] #rsac,#rsac2020 [28] security,analyst [27] stop,booth [27] fortiai's,virtual [27] virtual,security Top Word Pairs in Tweet in G6:
[159] #rsac,2020 [96] learn,more [72] booths,#1427 [72] #1427,#2227 [69] re,excited [61] next,week [46] vmware,carbon [46] carbon,black [44] #rsac,week [42] north,expo Top Word Pairs in Tweet in G7:
[156] #rsac,2020 [84] learn,more [71] attending,#rsac [49] thales,#rsac [49] f5labs,featured [46] featured,session [37] next,week [35] #rsac,session [33] more,register [32] enterprises,seldom Top Word Pairs in Tweet in G8:
[67] innovation,sandbox [44] wsj,article [44] article,#rsac [38] sandbox,contest [36] #rsac,booth [35] rsa,conference [32] #rsac,innovation [30] conference,2020 [30] booth,s535 [29] latest,wsj Top Word Pairs in Tweet in G9:
[97] using,hashtag [97] hashtag,#tripwirecares [95] help,support [94] ll,donate [89] share,using [83] donate,share [75] simply,support [75] support,privacy [75] privacy,digital [75] digital,rights Top Word Pairs in Tweet in G10:
[147] allegedly,verizon [147] verizon,withdrawn [147] withdrawn,#rsac [147] #rsac,good [147] good,news [147] news,known [147] known,carriers [8] next,week [7] #rsac2020,#rsaconference2020 [7] #rsac,#rsac2020 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: