The graph represents a network of 131 Twitter users whose recent tweets contained "#thelogisticsworld", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 4/21/2023 11:29:11 AM. The network was obtained from Twitter on Friday, 21 April 2023 at 18:29 UTC.
The tweets in the network were tweeted over the 76-day, 22-hour, 32-minute period from Friday, 03 February 2023 at 19:49 UTC to Friday, 21 April 2023 at 18:21 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 131
Unique Edges : 271
Edges With Duplicates : 572
Total Edges : 843
Number of Edge Types : 7
MentionsInRetweet : 334
Retweet : 164
Mentions : 88
Tweet : 110
MentionsInReplyTo : 137
Replies to : 9
Quote : 1
Self-Loops : 127
Reciprocated Vertex Pair Ratio : 0.0877742946708464
Reciprocated Edge Ratio : 0.161383285302594
Connected Components : 11
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 116
Maximum Edges in a Connected Component : 822
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.345124
Graph Density : 0.0203758073987082
Modularity : 0.210203
NodeXL Version : 1.0.1.511
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=291931
Data Import : The graph represents a network of 131 Twitter users whose recent tweets contained "#thelogisticsworld", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 4/21/2023 11:29:11 AM. The network was obtained from Twitter on Friday, 21 April 2023 at 18:29 UTC.
The tweets in the network were tweeted over the 76-day, 22-hour, 32-minute period from Friday, 03 February 2023 at 19:49 UTC to Friday, 21 April 2023 at 18:21 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : #thelogisticsworld
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:
[130] 26,27 [77] 27,abril [65] ayudar,empresa [63] ven,#thelogisticsworld [61] empresa,soluciones [61] gestión,eficiente [61] #xadis,ayudar [61] conoce,#xadis [61] soluciones,gestión [61] eficiente,tus Top Word Pairs in Tweet in G1:
[35] 26,27 [31] mcr_xadis,ven [30] ayudar,empresa [29] ven,#thelogisticsworld [28] #thelogisticsworld,conoce [28] #xadis,ayudar [28] eficiente,tus [28] soluciones,gestión [28] conoce,#xadis [28] empresa,soluciones Top Word Pairs in Tweet in G2:
[58] 26,27 [39] 27,abril [30] centro,citibanamex [29] tus,recursos [29] recursos,dar [29] #thelogisticsworld,conoce [29] ven,#thelogisticsworld [29] dar,soluciones [29] citibanamex,26 [29] tus,problemas Top Word Pairs in Tweet in G3:
[14] #tlwexpo2023,#thelogisticsworld [14] #thelogisticsworld,#logística [9] cadena,suministro [8] magistral,gratuita [7] acción,tendencias [7] plan,acción [7] thelogisticswd,presenta [7] descubrirás,plan [7] gratuita,descubrirás [7] presenta,conferencia Top Word Pairs in Tweet in G4:
[26] 26,27 [15] #xadis,26 [14] 27,#thelogisticsworld [14] #thelogisticsworld,stand3530 [14] #xadis,espera [14] espera,#thelogisticsworld [11] 27,abril [10] mcr,xadis [10] mcr_xadis,#xadis [9] stand3530,mcr Top Word Pairs in Tweet in G5:
[3] sherpa_campus,contacteando [3] metricool_es,sherpa_campus [3] natumiix,desafiolike [3] desafiolike,letigrijo [3] contacteando,arantxasgg [3] arantxasgg,natumiix [3] letigrijo,mjcachon [3] mjcachon,laura_eire [2] activithink,pacoruben_ [2] pacoruben_,metricool_es Top Word Pairs in Tweet in G6:
[5] centro,citibanamex [5] 27,abril [5] nuestro,stand [5] 26,27 [4] summit,expo [4] abril,centro [4] expo,2023 [3] comercio,exterior [3] logistics,world [3] stand,1616 Top Word Pairs in Tweet in G7:
[3] #thelogisticsworld,summit [3] summit,expo [2] 27,abril [2] logistics,professionals [2] encontrarnos,#thelogisticsworld [2] find,#thelogisticsworld [2] attention,logistics [2] atención,profesionales [2] profesionales,logística [2] 26,27 Top Word Pairs in Tweet in G8:
[2] tendencias,puedes [2] aprovechar,partir [2] experiencia,alibaba [2] acción,tendencias [2] #tlwexpo2023,#thelogisticsworld [2] conferencia,magistral [2] descubrirás,plan [2] thelogisticsw,presenta [2] gratuita,descubrirás [2] alibaba,regístrate Top Word Pairs in Tweet in G9:
[2] centro,banamex [2] abril,centro [2] 26,27 [2] invitamos,asistir [2] expo,2023 [2] banamex,cdmx [2] realizará,26 [2] summit,expo [2] asistir,logistics [2] 27,abril Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
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 G7:
Top Mentioned in G8:
Top Mentioned in G9:
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: