The graph represents a network of 2,690 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, 25 November 2019 at 16:44 UTC.
The requested start date was Monday, 25 November 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 5-day, 1-hour, 39-minute period from Tuesday, 19 November 2019 at 17:06 UTC to Sunday, 24 November 2019 at 18:46 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 : 2690
Unique Edges : 13577
Edges With Duplicates : 17585
Total Edges : 31162
Number of Edge Types : 3
Mentions : 30580
Replies to : 459
Tweet : 123
Self-Loops : 123
Reciprocated Vertex Pair Ratio : 0.0588378312667153
Reciprocated Edge Ratio : 0.11113662456946
Connected Components : 16
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 2674
Maximum Edges in a Connected Component : 31145
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.841478
Graph Density : 0.00240826940543948
Modularity : 0.295103
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,690 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, 25 November 2019 at 16:44 UTC.
The requested start date was Monday, 25 November 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 5-day, 1-hour, 39-minute period from Tuesday, 19 November 2019 at 17:06 UTC to Sunday, 24 November 2019 at 18:46 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:
[616] alvinfoo,topcybernews [231] topcybernews,chboursin [229] ty,mt [173] topcybernews,chbour [154] #iot,#5g [154] mrkmrkmoh,mariussou [149] themrblueprint,mrkmrkmoh [146] 365surmarius,themrblueprint [146] mariussou,kiyotaka_1991 [138] itakethelead,365surmarius Top Word Pairs in Tweet in G1:
[535] alvinfoo,topcybernews [215] topcybernews,chboursin [164] topcybernews,chbour [124] chboursin,mvollmer1 [99] gt,gt [82] tictoc,evankirstel [82] need,roads [81] going,need [81] roads,zonephysics [81] zonephysics,#innovation Top Word Pairs in Tweet in G2:
[154] mrkmrkmoh,mariussou [149] themrblueprint,mrkmrkmoh [146] 365surmarius,themrblueprint [146] mariussou,kiyotaka_1991 [138] itakethelead,365surmarius [119] kiyotaka_1991,easy_branches [96] grazytgrazynatt,itakethelead [90] influencerprom1,grazytgrazynatt [90] easy_branches,stev [49] psb_dc,guzmand Top Word Pairs in Tweet in G3:
[145] ty,mt [73] #iot,#5g [59] #graphene,make [59] make,computer [59] computer,1000 [59] 1000,times [59] times,faster [59] faster,wef [59] wef,fabriziobustama [59] fabriziobustama,#emergingtech Top Word Pairs in Tweet in G4:
[88] alvinfoo,wow [88] wow,little [88] little,#brucelee [88] #brucelee,#ff [88] #ff,#happysaturday [88] #happysaturday,jeffreybuskey [88] jeffreybuskey,rtehrani [88] rtehrani,jeffkagan [88] jeffkagan,fklivestolearn [88] fklivestolearn,thecloudand_me Top Word Pairs in Tweet in G5:
[119] sprague_paul,tom__coleman [115] tom__coleman,yaidunohannji [111] beatricelacy,sprague_paul [99] yaidunohannji,yuliyainopinapr [97] tripletsfan19,marshacollier [92] chef_charmaine,neverendanime [92] 0499154500q,shyoshid [91] kevinto95845970,cftc10 [91] ramikantari,felixnater [89] marshacollier,malekalby Top Word Pairs in Tweet in G6:
[15] opheliejanus,expo2020dubai [15] expo2020dubai,veidajelley [15] veidajelley,masshabaz [15] masshabaz,oliver__kraft [15] oliver__kraft,cindyliebelt [15] cindyliebelt,leannac175 [15] leannac175,alinamezentseva [13] alinamezentseva,mepra_org [11] antgrasso,akwyz [11] akwyz,topcybernews Top Word Pairs in Tweet in G7:
[2] worldgreenfound,jackthelad1947 [2] jackthelad1947,amandaray02 [2] amandaray02,vchampain [2] vchampain,kashthefuturist [2] kashthefuturist,jigarshahdc [2] jigarshahdc,ristori20 [2] ristori20,reclaimanglesea Top Word Pairs in Tweet in G8:
[25] enricomolinari,south [25] south,korea [25] korea,completed [25] completed,development [25] development,city [25] city,unpopulated [25] unpopulated,city [25] city,#autonomousvehicle [25] #autonomousvehicle,test [25] test,based Top Word Pairs in Tweet in G9:
[7] pierrepinna,jblefevre60 [7] jblefevre60,ursbolt [7] ursbolt,bastwins [7] bastwins,proustnicolas [7] proustnicolas,labordeolivier [7] labordeolivier,kalydeoo [7] kalydeoo,ym78200 [7] ym78200,jimmarous [7] jimmarous,psb_dc [7] psb_dc,guzmand 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 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 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: