The graph represents a network of 4,192 Twitter users whose recent tweets contained "supplychain", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 20:35 UTC.
The tweets in the network were tweeted over the 2626-day, 7-hour, 25-minute period from Thursday, 10 December 2015 at 17:35 UTC to Saturday, 18 February 2023 at 01:00 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 : 4192
Unique Edges : 3363
Edges With Duplicates : 6165
Total Edges : 9528
Number of Edge Types : 9
Mentions : 1777
Replies to : 210
Tweet : 2197
Retweet : 1898
MentionsInRetweet : 2980
MentionsInReplyTo : 177
Quote : 80
MentionsInQuote : 189
MentionsInQuoteReply : 20
Self-Loops : 2566
Reciprocated Vertex Pair Ratio : 0.0302954431647471
Reciprocated Edge Ratio : 0.0588092345078979
Connected Components : 1451
Single-Vertex Connected Components : 907
Maximum Vertices in a Connected Component : 1216
Maximum Edges in a Connected Component : 4243
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.738402
Graph Density : 0.000234223736432668
Modularity : 0.478874
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,192 Twitter users whose recent tweets contained "supplychain", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 20:35 UTC.
The tweets in the network were tweeted over the 2626-day, 7-hour, 25-minute period from Thursday, 10 December 2015 at 17:35 UTC to Saturday, 18 February 2023 at 01:00 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 : supplychain
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:
[895] supply,chain [403] #logistics,#supplychain [155] #supplychain,#logistics [136] supply,chains [129] #freight,#logistics [118] learn,more [100] vechainthor,accts [89] #supplychain,#transportation [83] #shipping,#supplychain [80] #shipping,#freight Top Word Pairs in Tweet in G1:
[286] supply,chain [126] #logistics,#supplychain [77] #supplychain,#logistics [59] #shipping,#supplychain [58] learn,more [44] supply,chains [40] brand,#tropicfeel [40] emissions,50 [40] packaging,improvements [40] fashion,brand Top Word Pairs in Tweet in G2:
[36] #ai,#artificialintelligence [31] supply,chain [26] #mi,#robotics [24] #artificialintelligence,#mi [22] ford,bought [22] #robotics,#rpa [22] bought,two [22] #robots,mashable [22] two,#robots [21] #rpa,#supplychain Top Word Pairs in Tweet in G3:
[56] ladailynews,dozen [56] dozen,#eggs [56] more,pound [56] #eggs,costs [56] pound,ground [56] beef,learn [56] costs,more [56] ground,beef [55] scottwluton,ladailynews [55] learn,int Top Word Pairs in Tweet in G4:
[39] wtk,gem [39] possibilities,qnt [39] based,possible [39] pow,wtk [39] gem,payments [39] kas,fastest [39] soon,kas [39] fastest,pow [39] possible,risk [39] roi,possibilities Top Word Pairs in Tweet in G5:
[42] xdc,stream [25] mattkeller1,fredestante [25] origino_io,two [25] catch,mattkeller1 [25] fredestante,chat [25] two,startups [25] chance,catch [25] last,chance [25] cashdillo,origino_io [25] chat,cashdillo Top Word Pairs in Tweet in G6:
[68] gifts,delivered [68] connect,people [68] 1800flowers,helps [68] helps,connect [68] #scm,#supplychain [68] help,oraclecloudscm [68] time,help [68] oraclecloudscm,#scm [68] people,gifts [68] delivered,time Top Word Pairs in Tweet in G7:
[2] ℹ,see [2] follow,telegram [2] see,name [2] name,target [2] telegram,channel [2] coin,exact [2] time,рump [2] airdrop,alert [2] live,holders [2] target,coin Top Word Pairs in Tweet in G8:
[42] #supplychainjobs,#supplychain [42] #supplychain,#supplychaincareers [28] supply,chain [19] careers,saylaniwelfare [19] last,date [19] hiring,position [19] saylaniwelfare,last [19] email,careers [16] officialswit,hiring [14] incharge,lahore Top Word Pairs in Tweet in G9:
[30] supply,chain [11] antgrasso,#supplychain [9] report,reducing [9] reducing,costs [9] more,thousand [9] surveyed,report [9] customer,experience [9] thousand,executives [9] executives,surveyed [9] costs,improving Top Word Pairs in Tweet in G10:
[19] supply,chain [13] #logistics,#supplychain [13] #cargo,#transportation [12] #transportation,#shipping [12] #bigdata,#businessanalytics [12] #sobel,#logistics [12] #businessanalytics,#ba [12] #supplychain,#cargo [11] #shipping,#tips [11] #artificialintelligence,#bigdata Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
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:
Top Tweeters in G10: