The graph represents a network of 38 Twitter users whose recent tweets contained "#thelogisticsworld OR #TLWEXPO2023 OR @thelogisticswd", 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, 12 March 2023 at 07:48 UTC.
The tweets in the network were tweeted over the 8-day, 10-hour, 0-minute period from Thursday, 02 March 2023 at 13:00 UTC to Friday, 10 March 2023 at 23:00 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 : 38
Unique Edges : 62
Edges With Duplicates : 44
Total Edges : 106
Number of Edge Types : 5
Retweet : 22
Mentions : 32
MentionsInRetweet : 37
Tweet : 10
Replies to : 5
Self-Loops : 10
Reciprocated Vertex Pair Ratio : 0.0694444444444444
Reciprocated Edge Ratio : 0.12987012987013
Connected Components : 3
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 36
Maximum Edges in a Connected Component : 104
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.220339
Graph Density : 0.0547652916073969
Modularity : 0.427243
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 38 Twitter users whose recent tweets contained "#thelogisticsworld OR #TLWEXPO2023 OR @thelogisticswd", 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, 12 March 2023 at 07:48 UTC.
The tweets in the network were tweeted over the 8-day, 10-hour, 0-minute period from Thursday, 02 March 2023 at 13:00 UTC to Friday, 10 March 2023 at 23:00 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 : #thelogisticsworld OR #TLWEXPO2023 OR @thelogisticswd
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:
[22] 26,27 [21] 27,abril [17] centro,citibanamex [16] comercio,exterior [15] exterior,carga [14] logística,comercio [12] citibanamex,ciudad [12] exposición,logística [12] méxico,centroamérica [12] carga,grande Top Word Pairs in Tweet in G1:
[13] centro,citibanamex [11] exterior,carga [11] sold,32 [11] 26,27 [11] 000,m2 [11] piso,exhibición [11] m2,piso [11] 32,000 [11] comercio,exterior [10] logística,comercio Top Word Pairs in Tweet in G2:
[11] 27,abril [11] 26,27 [7] #tlwexpo2023,#thelogisticsworld [7] #corporatelatam,#ascmcapitulomexico [7] #ascmcapitulomexico,26 [7] abril,centrocitibnmx [4] exterior,carga [4] invitamos,exposición [4] daya1angel,excelente [4] méxico,centroamérica 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 Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: