The graph represents a network of 2,396 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 October 2021 at 17:24 UTC.
The requested start date was Monday, 25 October 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 84-day, 16-hour, 5-minute period from Sunday, 01 August 2021 at 02:40 UTC to Sunday, 24 October 2021 at 18:45 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 : 2396
Unique Edges : 7124
Edges With Duplicates : 23787
Total Edges : 30911
Number of Edge Types : 5
MentionsInRetweet : 13748
Retweet : 4729
Mentions : 11930
Replies to : 207
Tweet : 297
Self-Loops : 363
Reciprocated Vertex Pair Ratio : 0.0499289267945984
Reciprocated Edge Ratio : 0.0951091555254696
Connected Components : 20
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 2377
Maximum Edges in a Connected Component : 30901
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.995321
Graph Density : 0.00205945190487974
Modularity : 0.248813
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,396 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 October 2021 at 17:24 UTC.
The requested start date was Monday, 25 October 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 84-day, 16-hour, 5-minute period from Sunday, 01 August 2021 at 02:40 UTC to Sunday, 24 October 2021 at 18:45 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:
[290] #ai,#aiio [266] #bigdata,#ml [263] #aiio,#bigdata [262] #ai,#technology [236] jgrobicki,ursbolt [224] #machinelearning,#ai [218] spirosmargaris,jimmarous [206] #ai,#artificialintelligence [191] #vr,#ar [183] #bigdata,#datascience Top Word Pairs in Tweet in G1:
[244] #ai,#technology [225] jgrobicki,ursbolt [208] spirosmargaris,jimmarous [159] ursbolt,paula_piccard [155] #ai,#aiio [146] topcybernews,mvollmer1 [144] #aiio,#bigdata [144] #bigdata,#ml [132] jimmarous,brettking [123] paula_piccard,topcybernews Top Word Pairs in Tweet in G2:
[154] #vr,#ar [140] #digital,#vr [115] #ar,#virtualreality [96] more,#robots [96] #robots,workforce [96] workforce,before [96] before,wef [96] wef,#ai [96] #ai,#futureofwork [96] #futureofwork,#automation Top Word Pairs in Tweet in G3:
[118] #machinelearning,#ai [109] #machinelearning,#iot [105] #bigdata,#datascience [87] #ai,#bigdata [85] #datascience,#algorithms [85] #algorithms,#fintech [82] cc,jblefevre60 [81] top,10 [81] 10,features [81] features,look Top Word Pairs in Tweet in G4:
[45] #infosec,#ciso [30] #cybersecurity,#infosec [25] #cybersecurity,#ciso [24] #deeplearning,app [24] app,detecting [24] detecting,garbage [24] garbage,images [24] images,huawei [24] huawei,#ai [24] #ai,#artificialintelligence Top Word Pairs in Tweet in G5:
[85] mspadine,mmuller2019 [79] drvishvendu,fannynonoy [79] annarosarossa,lisatruthjohns [77] fannynonoy,annarosarossa [74] mmuller2019,thshaher [72] lisatruthjohns,centerinventor1 [67] thshaher,mikimiyazaki13 [64] sandroandrine,mspadine [62] lorenzorossi29,isadoradem45 [62] centerinventor1,lorenzorossi29 Top Word Pairs in Tweet in G6:
[88] topcybernews,spirosmargaris [79] #ai,#aiio [77] spirosmargaris,marshacollier [74] #aiio,#bigdata [74] #bigdata,#ml [72] mhcommunicate,fisher85m [72] fisher85m,mikequindazzi [65] marshacollier,mhiesboeck [65] mhiesboeck,mhcommunicate [64] mikequindazzi,nealschaffer Top Word Pairs in Tweet in G7:
[87] itakethelead,365surmarius [87] 365surmarius,themrblueprint [87] themrblueprint,mrkmrkmoh [87] mrkmrkmoh,mariussou [87] mariussou,kiyotaka_1991 [84] influencerprom1,itakethelead [75] grazytgrazynatt,influencerprom1 [74] promoedutech,grazytgrazynatt [73] kiyotaka_1991,easy_ [10] #machinelearning,#ai Top Word Pairs in Tweet in G8:
[4] ipfconline1,definitive [4] definitive,answer [4] answer,best [4] best,time [4] time,social [4] social,media [4] media,' [4] ',istrategylabs [4] istrategylabs,#smm [4] #smm,#digitalmarketing Top Word Pairs in Tweet in G9:
[4] theinsaneapp,ronald_vanloon [4] ronald_vanloon,bernardmarr [4] bernardmarr,rvp [4] rvp,heinzvhoenen [4] heinzvhoenen,pardoe_ai [4] pardoe_ai,smoothsale [4] smoothsale,openmarketingtv [4] openmarketingtv,ai_2050 [4] ai_2050,ainow6 [2] rumichowd,theinsaneapp Top Word Pairs in Tweet in G10:
[9] ibm,power [5] power,e1080 [4] #power10,processor [3] protect,data [3] e1080,server [3] processor,engineered [3] engineered,agility [2] cost,data [2] data,breach [2] 35,years 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 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: