The graph represents a network of 4,184 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 20:36 UTC.
The tweets in the network were tweeted over the 2619-day, 7-hour, 17-minute period from Thursday, 10 December 2015 at 17:35 UTC to Saturday, 11 February 2023 at 00:53 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 : 4184
Unique Edges : 3179
Edges With Duplicates : 5730
Total Edges : 8909
Number of Edge Types : 9
Tweet : 2456
Mentions : 1699
Retweet : 1599
MentionsInRetweet : 2342
Replies to : 260
Quote : 88
MentionsInQuote : 108
MentionsInReplyTo : 332
MentionsInQuoteReply : 25
Self-Loops : 2931
Reciprocated Vertex Pair Ratio : 0.0331221198156682
Reciprocated Edge Ratio : 0.0641204349038193
Connected Components : 1611
Single-Vertex Connected Components : 1076
Maximum Vertices in a Connected Component : 1029
Maximum Edges in a Connected Component : 3166
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.185159
Graph Density : 0.0002049518468864
Modularity : 0.46338
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,184 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 20:36 UTC.
The tweets in the network were tweeted over the 2619-day, 7-hour, 17-minute period from Thursday, 10 December 2015 at 17:35 UTC to Saturday, 11 February 2023 at 00:53 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:
[1001] supply,chain [383] #logistics,#supplychain [189] #supplychain,#logistics [163] supply,chains [148] learn,more [124] #freight,#logistics [117] link,bio [99] click,link [97] #supplychain,#transportation [88] #shipping,#supplychain Top Word Pairs in Tweet in G1:
[299] supply,chain [115] link,bio [93] #logistics,#supplychain [84] #supplychain,#logistics [82] click,link [77] brand,#tropicfeel [77] emissions,50 [77] packaging,improvements [77] fashion,brand [77] co2,emissions Top Word Pairs in Tweet in G2:
[75] supply,chain [60] #innovation,#tech [58] #tech,#ces2023 [44] china,improves [44] reduce,fossil [44] ronald_vanloon,#huaweipartner [44] tianjin,smart [44] efficiency,safety [44] mashable,#innovation [44] safety,#sustainability Top Word Pairs in Tweet in G3:
[90] supply,chain [29] scottwluton,gregoryswhite [15] check,article [13] #supplychainnow,#supplychain [12] 12,noon [12] monday,12 [10] _supplychainnow,miss [10] top,supply [10] supply,chains [10] host,scottwluton Top Word Pairs in Tweet in G4:
[20] supply,chain [16] #cybersecurity,#supplychain [10] global,#supplychain [10] 2023,statement [9] flaw,put [9] #leadership,#network [9] driver's,seat [9] #zerotrust,#zeroday [9] #transportation,#shipping [9] #rce,#zerotrust Top Word Pairs in Tweet in G5:
[69] supply,chain [32] #ai,#blockchain [30] mnw,#ml [29] #ml,#ai [29] #blockchain,#supplychain [25] utilizing,blockchain [25] service,automated [25] trading,industry [25] global,trading [25] platform,global Top Word Pairs in Tweet in G6:
[24] peter,zeihan [17] better,call [17] talks,jones [17] time,another [17] sal,time [17] sal,rant [17] act,better [17] another,sal [17] zeihan,talks [17] jones,act Top Word Pairs in Tweet in G7:
[28] supply,chain [17] improving,customer [17] costs,improving [17] customer,experience [17] more,thousand [17] thousand,executives [17] reducing,costs [17] executives,surveyed [17] surveyed,report [17] report,reducing Top Word Pairs in Tweet in G8:
[12] supply,chain [10] supply,chains [9] #iot,#iiot [7] connected,supply [6] #procurement,#supplychain [5] build,connected [5] fruit_logistica,berlin [5] fruit_logistica,startup [5] within,digital [5] holes,within Top Word Pairs in Tweet in G9:
[4] hebbarsubraya1,sureshseshadri1 [4] gauravmodified,laxmina08495619 [4] laxmina08495619,anandi_sanatani [4] anandi_sanatani,hebbarsubraya1 [4] sureshseshadri1,ajitpj198 [3] satishrathod100,gauravmodified [2] realist_bharat,mangalpande1857 [2] musicaltrees,officeof_mm [2] amitrajseth,dharmvir_9 [2] murali76133156,prasad_perla Top Word Pairs in Tweet in G10:
[8] value,#enterprise [8] joke,#supplychain [8] #enterprise,#hbar [8] opportunity,provide [8] #dlt,unique [8] unique,opportunity [8] offers,#dlt [8] #hbar,#refi [8] provide,value [8] #supplychain,offers Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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: