The graph represents a network of 4,109 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 19:35 UTC.
The tweets in the network were tweeted over the 3759-day, 12-hour, 14-minute period from Friday, 30 November 2012 at 11:46 UTC to Saturday, 18 March 2023 at 00:00 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 : 4109
Unique Edges : 2849
Edges With Duplicates : 5688
Total Edges : 8537
Number of Edge Types : 9
Retweet : 1583
MentionsInRetweet : 2118
Tweet : 2545
Replies to : 210
MentionsInReplyTo : 229
Mentions : 1707
Quote : 65
MentionsInQuote : 75
MentionsInQuoteReply : 5
Self-Loops : 2874
Reciprocated Vertex Pair Ratio : 0.0294763248667294
Reciprocated Edge Ratio : 0.0572646969235455
Connected Components : 1590
Single-Vertex Connected Components : 1073
Maximum Vertices in a Connected Component : 829
Maximum Edges in a Connected Component : 2216
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 7.048757
Graph Density : 0.00019449314836717
Modularity : 0.452918
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,109 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 19:35 UTC.
The tweets in the network were tweeted over the 3759-day, 12-hour, 14-minute period from Friday, 30 November 2012 at 11:46 UTC to Saturday, 18 March 2023 at 00:00 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:
[969] supply,chain [376] #logistics,#supplychain [224] link,bio [178] #supplychain,#logistics [149] click,link [114] supply,chains [104] cvs,health [104] #supplychain,job [101] #freight,#logistics [100] #supplychain,#transportation Top Word Pairs in Tweet in G1:
[426] supply,chain [216] link,bio [134] click,link [109] #logistics,#supplychain [101] cvs,health [100] #supplychain,job [83] #supplychain,#logistics [72] #shipping,#supplychain [72] bio,apply [69] see,latest Top Word Pairs in Tweet in G2:
[37] supply,chain [29] #supplychainnow,#supplychain [25] take,swings [25] consequence,life [25] step,batters [25] hard,step [25] anything,consequence [25] going,hard [25] life,going [25] batters,box Top Word Pairs in Tweet in G3:
[82] pere_mainz,#vechain [82] supply,chain [78] vechainthor,accts [58] accts,060 [45] extensive,preliminary [45] blockchain,survey [45] preliminary,blockchain [45] highlighted,paper [45] maritime,perspective [45] survey,maritime Top Word Pairs in Tweet in G4:
[26] supply,chain [20] way,looking [20] useful,way [20] once,useful [20] multiple,crises [20] describe,interaction [20] looking,world [20] 'polycrisis',describe [20] interaction,multiple [20] crises,once Top Word Pairs in Tweet in G5:
[26] supply,chain [19] essential,goods [17] feeling,heat [17] goods,feeling [17] agra,facing [17] food,agra [17] compliance,essential [17] increasing,regulations [17] facing,increasing [17] regulations,compliance Top Word Pairs in Tweet in G6:
[80] #supplychain,#unitedstates [80] #chineseinfluence,#influence [80] #china,#chineseinfluence [80] #supplychainmanagement,#counteringchina [80] #unitedstates,#supplychainmanagement [80] #influence,#supplychain [79] dr_adibenayati,#china [79] #counteringchina,#nationalsecuri Top Word Pairs in Tweet in G7:
[9] supply,chain [8] #logistics,#supplychain [5] karnika,yashwant [4] helps,warehouse [4] #cryptocurrency,#metaverse [4] guide,advanced [4] #socialselling,#digitalselling [4] wms,helps [4] advanced,warehouse [4] hard,facts Top Word Pairs in Tweet in G8:
[39] supply,chain [19] #supplychain,emissions [17] cdp,analysis [17] disclosing,companies [17] companies,2022 [17] 2022,reported [17] lt,50 [17] reported,#supplychain [17] despite,impact [17] shows,lt Top Word Pairs in Tweet in G9:
[14] supply,chain [8] chain,management [7] management,#procurement [7] important,roles [7] procurement,supply [7] #procurement,#supplychain [7] #supplychain,#business [7] #business,#finance [7] 11,important [7] roles,procurement Top Word Pairs in Tweet in G10:
[7] #sustainability,#telco [7] #cloud,#supplychain [7] #telco,#metaverse [7] leaders,2023 [7] 2023,vmware [7] 10,observations [7] business,leaders [7] top,10 [7] vmware,#sustainability [7] #metaverse,#cloud 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 G5:
Top Replied-To in G7:
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: