The graph represents a network of 5,487 Twitter users whose tweets in the requested range contained "supplychain", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 16 April 2022 at 19:30 UTC.
The requested start date was Saturday, 16 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 2-hour, 37-minute period from Tuesday, 12 April 2022 at 21:23 UTC to Saturday, 16 April 2022 at 00:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 5487
Unique Edges : 4391
Edges With Duplicates : 8515
Total Edges : 12906
Number of Edge Types : 5
Mentions : 2294
Replies to : 199
Retweet : 2765
MentionsInRetweet : 3960
Tweet : 3688
Self-Loops : 3755
Reciprocated Vertex Pair Ratio : 0.0314155251141553
Reciprocated Edge Ratio : 0.0609173012218877
Connected Components : 1615
Single-Vertex Connected Components : 1095
Maximum Vertices in a Connected Component : 2684
Maximum Edges in a Connected Component : 8454
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.003923
Graph Density : 0.000187597490399374
Modularity : 0.455625
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,487 Twitter users whose tweets in the requested range contained "supplychain", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 16 April 2022 at 19:30 UTC.
The requested start date was Saturday, 16 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 2-hour, 37-minute period from Tuesday, 12 April 2022 at 21:23 UTC to Saturday, 16 April 2022 at 00:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[1132] supply,chain [560] link,bio [373] click,link [256] #supplychain,#logistics [230] #supplychain,job [226] supply,chains [190] #logistics,#supplychain [182] learn,more [163] bio,apply [136] #supplychain,issues Top Word Pairs in Tweet in G1:
[257] supply,chain [252] link,bio [170] click,link [94] #supplychain,job [81] bio,apply [69] #logistics,#supplychain [56] #supplychain,#logistics [55] see,latest [52] bio,see [45] learn,more Top Word Pairs in Tweet in G2:
[288] link,bio [247] supply,chain [184] click,link [129] #supplychain,job [83] fresenius,medical [83] medical,care [76] see,latest [74] bio,apply [70] bio,see [62] great,fit Top Word Pairs in Tweet in G3:
[81] supply,chain [59] supply,chains [40] autonomous,planning [40] planning,help [40] help,supply [40] chains,function [40] function,more [40] more,effectively [40] effectively,volatile [40] volatile,environments Top Word Pairs in Tweet in G4:
[15] #supplychain,issues [14] #inflation,#supplychain [14] gregabbott_tx,really [14] really,didn [14] didn,anything [14] anything,create [14] create,traffic [14] traffic,jam [14] jam,potentially [14] potentially,cause Top Word Pairs in Tweet in G5:
[25] #supplychain,#logistics [24] #robot,turns [24] turns,traditional [24] traditional,#warehouse [24] #warehouse,#automated [24] #automated,one [24] one,gigadgets_ [24] gigadgets_,#supplychain [24] #logistics,#automation [24] supply,chain Top Word Pairs in Tweet in G6:
[51] #maritime,#shipping [44] #shipping,#supplychain [38] #supplychain,#maritimenetwork [33] supply,chain [20] #supplychain,#logistics [10] #logistics,#supplychain [9] read,more [8] #maritime,#supplychain [8] news,today [7] largest,#port Top Word Pairs in Tweet in G7:
[14] state,security [14] security,2022 [14] 2022,report [14] report,released [14] released,week [14] week,examines [14] examines,security [14] security,issues [14] issues,facing [14] facing,modern Top Word Pairs in Tweet in G8:
[6] #supplychain,issues [6] make,sure [6] sure,subscribe [5] austin,brown [5] brown,co [5] co,founder [5] founder,tennecanna [5] #gs1uspod,20 [5] provide,insight [5] never,miss Top Word Pairs in Tweet in G9:
[2] throwawayalien,disclosureuap [2] disclosureuap,michaelpbreton [2] michaelpbreton,joe_warmington [2] joe_warmington,rupasubramanya [2] rupasubramanya,ezralevant [2] ezralevant,themarieoakes Top Word Pairs in Tweet in G10:
[17] supply,chain [10] #supplychain,leaders [10] need,proactive [9] today's,economy [9] economy,#supplychain [9] leaders,need [9] proactive,flip [9] flip,narrative [9] narrative,scmr [6] global,#supplychain Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: