The graph represents a network of 35 Twitter users whose recent tweets contained "@thelogisticswd OR #thelogisticsworld", 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 04:52 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 53-minute period from Tuesday, 07 March 2023 at 16:16 UTC to Wednesday, 15 March 2023 at 21:10 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 : 35
Unique Edges : 65
Edges With Duplicates : 24
Total Edges : 89
Number of Edge Types : 5
Retweet : 18
MentionsInRetweet : 24
Mentions : 34
Replies to : 1
Tweet : 12
Self-Loops : 12
Reciprocated Vertex Pair Ratio : 0.0793650793650794
Reciprocated Edge Ratio : 0.147058823529412
Connected Components : 3
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 33
Maximum Edges in a Connected Component : 87
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.998167
Graph Density : 0.0571428571428571
Modularity : 0.321045
NodeXL Version : 1.0.1.510
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=291321
Data Import : The graph represents a network of 35 Twitter users whose recent tweets contained "@thelogisticswd OR #thelogisticsworld", 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 04:52 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 53-minute period from Tuesday, 07 March 2023 at 16:16 UTC to Wednesday, 15 March 2023 at 21:10 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 : @thelogisticswd OR #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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[13] 000,m2 [13] 32,000 [11] sold,32 [11] 26,27 [11] summit,expo [11] piso,exhibición [11] world,summit [11] m2,piso [11] logistics,world [11] 27,abril Top Word Pairs in Tweet in G1:
[9] 32,000 [9] 000,m2 [8] summit,expo [8] world,summit [7] piso,exhibición [7] sold,32 [7] logistics,world [7] thelogisticswd,crecer [7] m2,piso [6] quedaron,sold Top Word Pairs in Tweet in G2:
[4] 27,abril [4] 26,27 [2] #tlwexpo2023,ponentes [2] evento,#thelogisticsworld [2] pisos,eco [2] acompañanos,generar [2] audiencias,#thelogisticsworld [2] #,audiencias [2] #thelogisticsworld,#tlwexpo2023 [2] abril,stand Top Word Pairs in Tweet in G3:
[3] logistics,world [2] necesidades,regístrate [2] encuentra,soluciones [2] ayudar,disminuya [2] sold,32 [2] pueden,ayudar [2] 000,m2 [2] texto,paolamoncadan [2] disminuya,escasez [2] m2,piso Top Word Pairs in Tweet in G4:
[2] carga,grande [2] vuelve,26 [2] méxico,regístrate [2] thelogisticswd,vuelve [2] abril,centro [2] ciudad,méxico [2] centroamérica,thelogisticswd [2] 26,27 [2] costo,#ascmmexico [2] citibanamex,ciudad Top Word Pairs in Tweet in G5:
[2] sold,32 [2] soluciones,adapten [2] exhibición,encuentra [2] encuentra,soluciones [2] 000,m2 [2] piso,exhibición [2] necesidades,regístrate [2] 32,000 [2] quedaron,sold [2] meses,quedaron Top Replied-To in Entire Graph:
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: