The graph represents a network of 2,756 Twitter users whose tweets in the requested range contained "TopCyberNews", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 04 December 2019 at 18:00 UTC.
The requested start date was Monday, 02 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 4-day, 16-hour, 48-minute period from Wednesday, 27 November 2019 at 08:12 UTC to Monday, 02 December 2019 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 : 2756
Unique Edges : 11688
Edges With Duplicates : 12398
Total Edges : 24086
Number of Edge Types : 3
Mentions : 23581
Replies to : 342
Tweet : 163
Self-Loops : 163
Reciprocated Vertex Pair Ratio : 0.0388335903546895
Reciprocated Edge Ratio : 0.0747638326585695
Connected Components : 8
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 2748
Maximum Edges in a Connected Component : 24077
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.937979
Graph Density : 0.00195185426154847
Modularity : 0.300745
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,756 Twitter users whose tweets in the requested range contained "TopCyberNews", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 04 December 2019 at 18:00 UTC.
The requested start date was Monday, 02 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 4-day, 16-hour, 48-minute period from Wednesday, 27 November 2019 at 08:12 UTC to Monday, 02 December 2019 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 : TopCyberNews
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:
[400] #ai,#robotics [359] #robotics,#automation [330] ht,mikequindazzi [328] mikequindazzi,spiro [287] alvinfoo,topcybernews [255] #artificialintelligence,#ai [218] topcybernews,chboursin [207] #robotics,#ai [201] wef,#ai [200] gt,gt Top Word Pairs in Tweet in G1:
[171] #artificialintelligence,#ai [154] #ai,#dl [154] #dl,#ml [124] #ml,#futureofwork [112] alvinfoo,topcybernews [78] #futureofwork,#emergingtech [72] topcybernews,chboursin [72] #security,#cybersecurity [55] thomas_harrer,#architectingthefuture [48] avrohomg,alvinfoo Top Word Pairs in Tweet in G2:
[146] gt,gt [119] alvinfoo,topcybernews [117] topcybernews,chboursin [104] #ai,#robotics [99] ht,mikequindazzi [99] mikequindazzi,spiro [85] #iot,#5g [81] #robotics,#automation [79] wef,#ai [77] 1000,times Top Word Pairs in Tweet in G3:
[120] ty,mt [112] #robotics,#ai [73] cc,sminaev2015 [72] #ai,#artificialintelligence [65] #medtech,#cancer [65] #cancer,#analytics [65] #analytics,effective [65] effective,innovation [65] innovation,cancer [65] cancer,diagnosis Top Word Pairs in Tweet in G4:
[210] #ai,#robotics [210] #robotics,#automation [170] ht,mikequindazzi [168] mikequindazzi,spiro [117] dw_business,#drones [117] #drones,#ai [117] #automation,#agritech [117] #agritech,#iot [117] #iot,#4ir [116] smart,#farming Top Word Pairs in Tweet in G5:
[58] itakethelead,365surmarius [58] 365surmarius,themrblueprint [58] themrblueprint,mrkmrkmoh [58] mrkmrkmoh,mariussou [58] mariussou,kiyotaka_1991 [49] kiyotaka_1991,easy_branches [43] easy_branches,stev [31] grazytgrazynatt,itakethelead [28] influencerprom1,grazytgrazynatt [27] influencerprom1,itakethelead Top Word Pairs in Tweet in G6:
[18] thshaher,mspadine [18] mspadine,1zajekvdhbhvhmz [18] 1zajekvdhbhvhmz,wallacegeorge7 [18] wallacegeorge7,drkristieleong [16] drkristieleong,katyayan27 [14] kvajpayaee,mikimiyazaki13 [14] mikimiyazaki13,thshaher [13] enzodeluca19881,kvajpayaee [10] katyayan27,patgrant [6] katyayan27,patgrant7777 Top Word Pairs in Tweet in G7:
[12] alvinfoo,topcybernews [7] thomas_harrer,topcybernews [6] topcybernews,chboursin [6] chboursin,mvollmer1 [6] topcybernews,joannmoretti [6] joannmoretti,mvollmer1 [6] audreydesisto,arkangelscrap [6] arkangelscrap,enricomolinari [6] enricomolinari,fabriziobustama [6] fabriziobustama,heinzvhoenen Top Word Pairs in Tweet in G8:
[13] paula_piccard,haroldsinnott [12] mvollmer1,paula_piccard [12] haroldsinnott,mikequindazzi [12] mikequindazzi,antgrasso [12] antgrasso,andi_staub [12] andi_staub,topcybernews [12] topcybernews,tamaramccleary [6] motorious_tv,mvollmer1 [6] sytechsolutions,secretaryfoxx [6] secretaryfoxx,research_usdot Top Word Pairs in Tweet in G9:
[8] #rubicscube,#sps_live [8] #sps_live,#motioncontrol [8] #motioncontrol,#sinamics [8] #sinamics,world [8] world,record [8] record,spsmesse [8] spsmesse,made [8] made,possible [8] possible,dynamics [7] #dataanalytics,#machinelearning Top Word Pairs in Tweet in G10:
[16] #spacex,plans [16] plans,bring [16] bring,high [16] high,speed [16] speed,internet [16] internet,planet [16] planet,earth [16] earth,#smartcities [16] #smartcities,#iot [16] #iot,#5g 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 G7:
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: