The graph represents a network of 312 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 Wednesday, 15 March 2023 at 07:33 UTC.
The tweets in the network were tweeted over the 9-day, 11-hour, 32-minute period from Sunday, 05 March 2023 at 19:52 UTC to Wednesday, 15 March 2023 at 07:25 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 : 312
Unique Edges : 1388
Edges With Duplicates : 4338
Total Edges : 5726
Number of Edge Types : 5
Retweet : 595
MentionsInRetweet : 2910
Mentions : 1717
Replies to : 423
Tweet : 81
Self-Loops : 93
Reciprocated Vertex Pair Ratio : 0.158148505303761
Reciprocated Edge Ratio : 0.273105745212323
Connected Components : 6
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 287
Maximum Edges in a Connected Component : 5682
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.213379
Graph Density : 0.0247547200923407
Modularity : 0.252183
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 312 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 Wednesday, 15 March 2023 at 07:33 UTC.
The tweets in the network were tweeted over the 9-day, 11-hour, 32-minute period from Sunday, 05 March 2023 at 19:52 UTC to Wednesday, 15 March 2023 at 07:25 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:
[94] 16,17 [84] #trafffic,#girona [62] matatweet,traffficpro [55] 17,marzo [50] chuisochuisez,witczyk [49] matatweet,raiolanetworks [49] witczyk,carlos_darko [49] lu1sma,chuisochuisez [47] ecesaraparicio,matatweet [45] carlos_darko,ecesaraparicio Top Word Pairs in Tweet in G1:
[59] matatweet,traffficpro [58] 16,17 [43] #trafffic,#girona [36] traffficpro,xevi1705 [34] 17,marzo [34] traffficpro,marc__cruells [32] dominospizza_es,traffficpro [31] matatweet,raiolanetworks [31] witczyk,carlos_darko [31] chuisochuisez,witczyk Top Word Pairs in Tweet in G2:
[41] #trafffic,#girona [36] 16,17 [32] albertoemachado,ginacaicedo17 [32] pinktechnews,rakemq [32] i_abel,borjadelope [32] allopher,guidomorenob [32] marketingandweb,jaguirregabiria [32] anamillernet,vidamaja [32] manumartn3,pinktechnews [32] sonafpro,albertoemachado Top Word Pairs in Tweet in G3:
[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:
[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 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 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: