The graph represents a network of 13 Twitter users whose recent tweets contained "#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 Sunday, 02 April 2023 at 06:32 UTC.
The tweets in the network were tweeted over the 7-day, 0-hour, 7-minute period from Friday, 24 March 2023 at 17:00 UTC to Friday, 31 March 2023 at 17:07 UTC.
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 : 13
Unique Edges : 12
Edges With Duplicates : 11
Total Edges : 23
Number of Edge Types : 5
Retweet : 6
Tweet : 10
MentionsInRetweet : 1
Mentions : 2
Replies to : 4
Self-Loops : 10
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 8
Maximum Edges in a Connected Component : 16
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.333333
Graph Density : 0.0769230769230769
Modularity : 0.348771
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 13 Twitter users whose recent tweets contained "#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 Sunday, 02 April 2023 at 06:32 UTC.
The tweets in the network were tweeted over the 7-day, 0-hour, 7-minute period from Friday, 24 March 2023 at 17:00 UTC to Friday, 31 March 2023 at 17:07 UTC.
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 : #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:
[9] #tlwexpo2023,#thelogisticsworld [8] summit,expo [5] magistral,gratuita [5] 27,abril [4] partir,experiencia [4] alibaba,regístrate [4] #thelogisticsworld,summit [4] gratuita,descubrirás [4] tendencias,puedes [4] costo,#tlwexpo2023 Top Word Pairs in Tweet in G1:
[4] summit,expo [3] thelogisticswd,summit [3] #tlwexpo2023,#thelogisticsworld [3] expo,2023 [2] emitan,co2 [2] #emisiones,#sustentabilidad [2] #thelogisticsworld,#innovación [2] conoce,#thelogisticsworld [2] europea,prohíbe [2] pretende,reducir Top Word Pairs in Tweet in G2:
[4] #thelogisticsworld,summit [4] summit,expo [2] 27,abril [2] logistics,professionals [2] latest,innovations [2] #etiquetado,#codificación [2] encontrarnos,#thelogisticsworld [2] expo,co [2] encontrarán,últimas [2] booth,latest Top Word Pairs in Tweet in G3:
[4] tendencias,puedes [4] costo,#tlwexpo2023 [4] thelogisticswd,presenta [4] aprovechar,partir [4] regístrate,costo [4] experiencia,alibaba [4] acción,tendencias [4] #tlwexpo2023,#thelogisticsworld [4] conferencia,magistral [4] descubrirás,plan Top Word Pairs in Tweet in G4:
[2] nuestro,stand [2] 27,abril [2] #tlwexpo2023,#thelogisticsworld [2] centro,citibanamex [2] stand,1616 [2] 26,27 [2] #thelogisticsworld,#expologistica Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: