The graph represents a network of 4,092 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 20:35 UTC.
The tweets in the network were tweeted over the 2205-day, 14-hour, 41-minute period from Friday, 17 February 2017 at 10:18 UTC to Saturday, 04 March 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 : 4092
Unique Edges : 2992
Edges With Duplicates : 5575
Total Edges : 8567
Number of Edge Types : 9
Mentions : 1773
Retweet : 1502
MentionsInRetweet : 2161
Tweet : 2558
Replies to : 181
MentionsInReplyTo : 211
MentionsInQuote : 101
Quote : 70
MentionsInQuoteReply : 10
Self-Loops : 2945
Reciprocated Vertex Pair Ratio : 0.0328214393255044
Reciprocated Edge Ratio : 0.0635568513119533
Connected Components : 1585
Single-Vertex Connected Components : 1053
Maximum Vertices in a Connected Component : 946
Maximum Edges in a Connected Component : 2755
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.518778
Graph Density : 0.000204893893636294
Modularity : 0.463786
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,092 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 20:35 UTC.
The tweets in the network were tweeted over the 2205-day, 14-hour, 41-minute period from Friday, 17 February 2017 at 10:18 UTC to Saturday, 04 March 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:
[996] supply,chain [392] #logistics,#supplychain [238] link,bio [162] click,link [157] #supplychain,#logistics [132] learn,more [117] #supplychain,#transportation [110] supply,chains [109] #supplychain,job [105] #freight,#logistics Top Word Pairs in Tweet in G1:
[348] supply,chain [217] link,bio [143] click,link [103] #supplychain,job [98] #logistics,#supplychain [96] cvs,health [68] #printing,#ink [68] #konica,#xerox [68] #ricoh,#konica [68] #toner,#tonercartridges Top Word Pairs in Tweet in G2:
[41] #logistics,#supplychain [40] #ai,#artificialintelligence [37] #supplychain,#autonomous [35] #autonomous,electric [35] #hydrogen,fuel [35] electric,powered [35] powered,#hydrogen [35] fuel,cells [35] #ev,#evs [33] future,#logistics Top Word Pairs in Tweet in G3:
[49] supply,chain [24] #supplychainnow,#supplychain [20] challenge,balancing [20] risk,management [20] securing,supplies [20] cutting,risk [20] balancing,cost [20] daunting,challenge [20] management,securing [20] facing,daunting Top Word Pairs in Tweet in G4:
[13] #airfreight,#supplychain [12] #aircargo,#airfreight [10] supply,chain [8] #logistics,#supplychain [6] #supplychain,#logistics [4] demand,crashing [4] rates,shipper [4] spot,rates [4] crashing,aligning [4] near,000 Top Word Pairs in Tweet in G5:
[15] cryptorobinson_,mnwsupplychain [14] major,player [14] player,using [14] capital,stansberrry [14] research,paid [14] using,blockchain [14] mnw,co [14] stansberrry,research [14] crypto,capital [14] co,m10ies6ndu Top Word Pairs in Tweet in G6:
[78] supply,chain [48] meet,requirements [48] directive,discover [48] battery,directive [48] eu,battery [48] help,meet [48] #wednesdaywisdom,#blockchain [48] requirements,upcoming [48] upcoming,eu [48] #blockchain,help Top Word Pairs in Tweet in G7:
[67] thread,american [67] american,owned [67] left,following [67] owned,company [67] areas,#plasma [67] following,areas [67] company,left [67] security,#supplychain [67] hanging,thread [67] national,security Top Word Pairs in Tweet in G8:
[19] supply,chain [12] vote,echo [11] foodshippers,america [11] need,vote [11] running,foodshippers [11] global,logistics [11] 2023,top [11] echo,global [11] top,food [11] food,chain Top Word Pairs in Tweet in G9:
[21] supply,chain [8] #supplychain,#logistics [7] thrilled,welcome [5] #coldchain,#supplychain [5] cold,chain [4] schedule,meeting [4] priority,based [4] #supplychain,#procurement [4] based,planning [4] performance,#supplychain Top Word Pairs in Tweet in G10:
[22] #finance,#supplychain [22] women,#finance [21] advance,career [21] march,learn [21] network,peers [21] tune,march [21] oracle,kpmg [20] heard,oracle [20] inspiring,thought [20] thought,leaders Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: