The graph represents a network of 2,273 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 Monday, 17 February 2020 at 18:20 UTC.
The requested start date was Monday, 17 February 2020 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, 1-hour, 45-minute period from Monday, 10 February 2020 at 23:14 UTC to Saturday, 15 February 2020 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 : 2273
Unique Edges : 10407
Edges With Duplicates : 8890
Total Edges : 19297
Number of Edge Types : 4
MentionsInRetweet : 13510
Mentions : 5500
Replies to : 173
Tweet : 114
Self-Loops : 114
Reciprocated Vertex Pair Ratio : 0.0272468483123221
Reciprocated Edge Ratio : 0.0530482977038797
Connected Components : 7
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 2267
Maximum Edges in a Connected Component : 19291
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.873335
Graph Density : 0.00244565722535831
Modularity : 0.326245
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 2,273 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 Monday, 17 February 2020 at 18:20 UTC.
The requested start date was Monday, 17 February 2020 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, 1-hour, 45-minute period from Monday, 10 February 2020 at 23:14 UTC to Saturday, 15 February 2020 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:
[994] gt,gt [519] 10,years [515] years,ago [513] 10,jobs [513] jobs,exist [513] exist,10 [470] #techforgood,#tech4good [467] ago,wef [467] wef,jamesvgingerich [467] jamesvgingerich,#techforgood Top Word Pairs in Tweet in G1:
[362] gt,gt [205] alvinfoo,topcybernews [144] paula_piccard,haroldsinnott [144] haroldsinnott,jblefevre60 [123] frronconi,alvinfoo [122] haroldsinnott,frronconi [116] cc,haroldsinnott [101] #robotics,#ai [99] topcybernews,chboursin [99] intengineering,paula_piccard Top Word Pairs in Tweet in G2:
[110] gt,gt [49] ty,mt [47] years,ago [46] 10,years [45] 10,jobs [45] jobs,exist [45] exist,10 [42] #techforgood,#tech4good [41] #fintech,fabriziobustama [39] #datascience,#bigdata Top Word Pairs in Tweet in G3:
[455] 10,jobs [455] jobs,exist [455] exist,10 [455] 10,years [455] years,ago [419] ago,wef [419] wef,jamesvgingerich [419] jamesvgingerich,#techforgood [419] #techforgood,#tech4good [245] #tech4good,#f Top Word Pairs in Tweet in G4:
[140] ty,mt [104] heinzvhoenen,#ai [53] mt,jrzaranoid [53] jrzaranoid,cc [52] #ai,#facialrecognition [51] #facialrecognition,#track [51] #track,uk [51] uk,startup [51] startup,tracks [51] tracks,without Top Word Pairs in Tweet in G5:
[438] gt,gt [108] mikequindazzi,gt [69] #ar,#vr [66] chboursin,playground [66] playground,future [66] future,#augmentedreality [66] #augmentedreality,gt [66] gt,barryintech [66] barryintech,mikequindazzi [66] gt,#ar Top Word Pairs in Tweet in G6:
[12] coincidence,yours [12] yours,priorities [12] priorities,cyberattacks [12] cyberattacks,categories [12] categories,region [12] region,checkpoint [12] checkpoint,#infosec [12] #infosec,#cybersecurity [11] cioamaro,coincidence [11] #cybersecurity,#cyberattac Top Word Pairs in Tweet in G7:
[24] iot_shelly,iotstephen [24] iotstephen,tweetingiot [24] tweetingiot,digital7ch [24] digital7ch,alison_iot [22] applying,machine [22] machine,learning [22] learning,internet [22] internet,things [22] things,cc [22] cc,iot_shelly Top Word Pairs in Tweet in G8:
[4] adam_karpiak,rickcooper [4] rickcooper,aquilbusrai [3] havrilla,adam_karpiak [3] aquilbusrai,joyabdullah [3] joyabdullah,lisatruthjohns [3] lisatruthjohns,imsosarah [3] imsosarah,kritimakhija [3] kritimakhija,sarbjeetjohal [3] sarbjeetjohal,spendharkar [3] spendharkar,joanncorley Top Word Pairs in Tweet in G9:
[50] gt,gt [23] chboursin,#driverless [23] #driverless,bicycle [23] bicycle,one [23] one,latest [23] latest,#autonomousvehicles [23] #autonomousvehicles,leveraging [23] leveraging,#selfdriving [23] #selfdriving,technology [23] technology,gt Top Word Pairs in Tweet in G10:
[10] three,characteristics [10] characteristics,winning [10] winning,digital [10] digital,strategy [10] strategy,#innovation [10] #innovation,mitsmr [10] mitsmr,nevillegaunt [9] balaji_sandiego,three [9] nevillegaunt,drjdr [3] ipfconline1,artificial 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: