The graph represents a network of 3,878 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 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 20:35 UTC.
The tweets in the network were tweeted over the 2577-day, 7-hour, 23-minute period from Thursday, 10 December 2015 at 17:35 UTC to Saturday, 31 December 2022 at 00:58 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 : 3878
Unique Edges : 3026
Edges With Duplicates : 6050
Total Edges : 9076
Number of Edge Types : 9
Retweet : 1410
MentionsInRetweet : 2143
Tweet : 2946
Mentions : 1483
Replies to : 337
MentionsInReplyTo : 464
Quote : 71
MentionsInQuote : 217
MentionsInQuoteReply : 5
Self-Loops : 3286
Reciprocated Vertex Pair Ratio : 0.0273690406121248
Reciprocated Edge Ratio : 0.0532798625035806
Connected Components : 1405
Single-Vertex Connected Components : 1016
Maximum Vertices in a Connected Component : 1028
Maximum Edges in a Connected Component : 3531
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.122531
Graph Density : 0.000232191460382523
Modularity : 0.436112
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,878 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 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 20:35 UTC.
The tweets in the network were tweeted over the 2577-day, 7-hour, 23-minute period from Thursday, 10 December 2015 at 17:35 UTC to Saturday, 31 December 2022 at 00:58 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:
[1004] supply,chain [336] link,bio [210] click,link [196] #logistics,#supplychain [183] cvs,health [162] #supplychain,#supplychaincareers [162] #supplychainjobs,#supplychain [160] srinivas,mentally [160] police,cases [160] foisting,fake Top Word Pairs in Tweet in G1:
[344] supply,chain [314] link,bio [196] click,link [176] cvs,health [147] #supplychain,job [103] see,latest [97] bio,apply [89] #logistics,#supplychain [87] great,fit [86] #shipping,#supplychain Top Word Pairs in Tweet in G2:
[155] police,cases [155] mentally,push [155] srinivas,mentally [155] cases,harass [155] #genpact,foisting [155] fake,police [155] foisting,fake [155] harass,srinivas [152] push,death [151] death,#nyse Top Word Pairs in Tweet in G3:
[48] #supplychain,#procurement [44] mvollmer1,visualized [40] kevin_jackson,co [40] catch,#biztalks [40] #tech,#trends [40] latest,#tech [40] glengilmore,kevin_jackson [40] #trends,catch [30] cxi0nwtru5,attbusiness [30] co,cxi0nwtru5 Top Word Pairs in Tweet in G4:
[2] rvptrades,supplychain [2] once,#ethereum [2] jibonji56471418,space_peanutz [2] supplychain,dorufavsart [2] teozarovic,dvandanny [2] see,more [2] dayat_manok,mohaaldhafeeri [2] 1000,slntp41n [2] acmeducation,cryptotripper [2] waste,time Top Word Pairs in Tweet in G5:
[42] supply,chain [17] #procurement,#supplychain [15] news,review [15] #supplychain,news [15] 2022,#procurement [12] opportunities,2023 [12] chain,technology [12] beyondnext,manufacturing [12] scottwluton,gregoryswhite [12] #supplychainnow,#supplychain Top Word Pairs in Tweet in G6:
[16] supply,chain [8] time,thank [8] thank,valuable [8] thanks,sentrakl [8] end,year [8] 2022,thanks [8] company,2022 [8] year,time [8] partners,company [8] valuable,partners Top Word Pairs in Tweet in G7:
[2] morgs_london,be_nicemedia [2] arsamjzd,memeetcan [2] dmitriy17027435,duck31010531 [2] memeetcan,gemssnipe [2] be_nicemedia,investorlavvy1 [2] best,project [2] duck31010531,starvending1 [2] _coralie,ositachibuike [2] #zksync,_profkay_ [2] dr_supplychain_,arsamjzd Top Word Pairs in Tweet in G8:
[33] #logistics,#supplychain [21] #shipping,#freight [21] #supplychain,lloydslist [21] #freight,#logistics [19] supply,chain [10] #supplychain,#transportation [8] reduce,total [8] total,cost [8] #aicargo,domain [8] #scm,#artificialintelligence Top Word Pairs in Tweet in G9:
[24] supply,chain [12] orgs,overcome [12] obstacles,right [12] ai,thomasnet [12] #supplychain,obstacles [12] overcome,#supplychain [12] right,ai [8] more,smoothly [8] managing,inventory [8] times,managing Top Word Pairs in Tweet in G10:
[2] investandres,jackofcrypto [2] #ethereum,#eth [2] dannytoma,investandres [2] see,more [2] generosity,dont [2] moontec_event,supplychain_int [2] 5000,btc [2] 50000,eth [2] more,apply [2] michael13812806,cryptexltd Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: