The graph represents a network of 445 Twitter users whose recent tweets contained "#TRAFFFIC OR @TRAFFFICpro", 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 Saturday, 18 March 2023 at 03:30 UTC.
The tweets in the network were tweeted over the 9-day, 16-hour, 50-minute period from Wednesday, 08 March 2023 at 07:46 UTC to Saturday, 18 March 2023 at 00:37 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 : 445
Unique Edges : 2276
Edges With Duplicates : 11924
Total Edges : 14200
Number of Edge Types : 5
Retweet : 1733
MentionsInRetweet : 6914
Mentions : 4377
Replies to : 1002
Tweet : 174
Self-Loops : 189
Reciprocated Vertex Pair Ratio : 0.185555238367114
Reciprocated Edge Ratio : 0.313026727666747
Connected Components : 11
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 420
Maximum Edges in a Connected Component : 14156
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.244686
Graph Density : 0.0210193339406823
Modularity : 0.16734
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 445 Twitter users whose recent tweets contained "#TRAFFFIC OR @TRAFFFICpro", 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 Saturday, 18 March 2023 at 03:30 UTC.
The tweets in the network were tweeted over the 9-day, 16-hour, 50-minute period from Wednesday, 08 March 2023 at 07:46 UTC to Saturday, 18 March 2023 at 00:37 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 : #TRAFFFIC OR @TRAFFFICpro
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[232] #trafffic,traffficpro [123] streaming,gratis [115] #trafffic,#girona [109] traffficpro,#trafffic [97] matatweet,traffficpro [88] 16,17 [85] matatweet,raiolanetworks [81] chuisochuisez,witczyk [80] witczyk,carlos_darko [80] lu1sma,chuisochuisez Top Word Pairs in Tweet in G1:
[131] #trafffic,traffficpro [72] traffficpro,#trafffic [70] matatweet,traffficpro [62] #trafffic,#girona [54] matatweet,raiolanetworks [50] chuisochuisez,witczyk [50] witczyk,carlos_darko [50] lu1sma,chuisochuisez [46] traffficpro,marc__cruells [45] to_navas,ivangarcia Top Word Pairs in Tweet in G2:
[86] #trafffic,traffficpro [74] streaming,gratis [74] gt,30 [55] viernes,17 [48] #trafffic,#girona [44] vivo,acá [43] vidamaja,irenedepa [43] manumartn3,pinktechnews [43] paoloigna1,amaliagaroca [43] ruthagua,anamillernet Top Word Pairs in Tweet in G3:
[17] matatweet,traffficpro [15] #trafffic,traffficpro [9] comprar,entrada [9] marketing,digital [8] nuestra,web [8] streaming,gratis [8] streaming,viernes [7] traffficpro,marc__cruells [7] entrada,streaming [7] muchas,gracias Top Word Pairs in Tweet in G4:
[10] original,#reelsinstagram [10] cognizance,#reelsvideo [10] fever,#gurgaon [10] takes,road [10] recreate,popular [10] youth,takes [10] #trafffic,original [10] scene,such [10] #reelsinstagram,shahidkapoor [10] popular,scene Top Word Pairs in Tweet in G5:
[2] etc,beating [2] #entrepreneur,#socialmediamarketing [2] beating,heart [2] #smallbusiness,#entrepreneur [2] affiliate,links [2] #businessgrowth,#trafffic [2] fingertips,#businessgrowth [2] links,etc [2] directed,offer [2] #makemoney,#smallbusiness Top Word Pairs in Tweet in G7:
[8] #planning,permission [4] road,transfer [4] levels,know [4] transfer,ericpickles [4] granted,#planning [4] ago,significant [4] development,probability [4] ericpickles,granted [4] granted,years [4] increase,#trafffic Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
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: