The graph represents a network of 269 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 Thursday, 16 March 2023 at 05:20 UTC.
The tweets in the network were tweeted over the 9-day, 16-hour, 26-minute period from Monday, 06 March 2023 at 09:35 UTC to Thursday, 16 March 2023 at 02:01 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 : 269
Unique Edges : 1345
Edges With Duplicates : 2023
Total Edges : 3368
Number of Edge Types : 5
Retweet : 402
MentionsInRetweet : 1279
Replies to : 384
Mentions : 1244
Tweet : 59
Self-Loops : 64
Reciprocated Vertex Pair Ratio : 0.132399745385105
Reciprocated Edge Ratio : 0.233839235525576
Connected Components : 9
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 241
Maximum Edges in a Connected Component : 3321
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.335249
Graph Density : 0.0246768018642845
Modularity : 0.278176
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 269 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 Thursday, 16 March 2023 at 05:20 UTC.
The tweets in the network were tweeted over the 9-day, 16-hour, 26-minute period from Monday, 06 March 2023 at 09:35 UTC to Thursday, 16 March 2023 at 02:01 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:
[65] matatweet,traffficpro [45] traffficpro,xevi1705 [34] traffficpro,marc__cruells [34] dominospizza_es,traffficpro [32] marketing,digital [31] 16,17 [30] pido,seas [27] matatweet,raiolanetworks [27] witczyk,carlos_darko [27] marc__cruells,lu1sma Top Word Pairs in Tweet in G1:
[34] dominospizza_es,traffficpro [32] matatweet,traffficpro [25] angelica_ibiza,traffficpro [24] ivangarcia,selvaorejon [24] witczyk,carlos_darko [24] lu1sma,chuisochuisez [24] traffficpro,xevi1705 [24] chuisochuisez,witczyk [24] matatweet,raiolanetworks [24] selvaorejon,silviamogas Top Word Pairs in Tweet in G2:
[33] matatweet,traffficpro [21] traffficpro,xevi1705 [19] marketing,digital [15] internacional,marketing [13] traffficpro,marc__cruells [13] traffficpro,congreso [12] digital,girona [12] congreso,internacional [11] comprar,entrada [10] 16,17 Top Word Pairs in Tweet in G3:
[8] lolitakreativa,apez140 [8] ramiro_garces,micro_influence [8] wptorrelodones,traffficpro [8] apez140,manumartn3 [8] alfchoice,diegocambiaso [8] seoenmadrid,anabelanogs [8] sepulestrella,lolitakreativa [8] nuupsistemas,miguelfloro [8] sonafpro,albertoemachado [8] anamillernet,vidamaja 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 G6:
[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 Word Pairs in Tweet in G7:
[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 G8:
[2] novedades,nuevo [2] plugin,crear [2] sorprende,#gpt4 [2] ia,openai [2] año,#trafffic [2] nuevo,#bing [2] crowsoletools,saca [2] traerá,novedades [2] #trafffic,comienzo [2] comienzo,microsoftes 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 G5:
Top Mentioned in G6:
Top Mentioned in G8:
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: