The graph represents a network of 5,637 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 Sunday, 07 March 2021 at 21:01 UTC.
The requested start date was Saturday, 06 March 2021 at 01:01 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, 22-hour, 30-minute period from Tuesday, 02 March 2021 at 02:30 UTC to Saturday, 06 March 2021 at 01:00 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 : 5637
Unique Edges : 4633
Edges With Duplicates : 9275
Total Edges : 13908
Number of Edge Types : 5
Retweet : 3120
MentionsInRetweet : 4624
Tweet : 3443
Mentions : 2590
Replies to : 131
Self-Loops : 3537
Reciprocated Vertex Pair Ratio : 0.0433482810164425
Reciprocated Edge Ratio : 0.0830945558739255
Connected Components : 1636
Single-Vertex Connected Components : 1061
Maximum Vertices in a Connected Component : 2465
Maximum Edges in a Connected Component : 8059
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.22697
Graph Density : 0.000197732889495077
Modularity : 0.458926
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 5,637 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 Sunday, 07 March 2021 at 21:01 UTC.
The requested start date was Saturday, 06 March 2021 at 01:01 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, 22-hour, 30-minute period from Tuesday, 02 March 2021 at 02:30 UTC to Saturday, 06 March 2021 at 01:00 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:
[1034] supply,chain [535] link,bio [354] #supplychain,#logistics [321] click,link [286] bot,valley [277] #logistics,#supplychain [251] #supplychain,job [185] supply,chains [183] valley,make [183] make,india Top Word Pairs in Tweet in G1:
[493] link,bio [297] click,link [253] supply,chain [232] #supplychain,job [128] bio,apply [127] see,latest [127] bio,see [104] great,fit [97] latest,#supplychain [81] recommend,anyone Top Word Pairs in Tweet in G2:
[138] supply,chain [69] #supplychain,#logistics [69] summary,popular [69] popular,#artificialintelligence [69] #artificialintelligence,use [69] use,cases [69] cases,pascal_bornet [69] pascal_bornet,ht [69] ht,mvollmer1 [68] pawlowskimario,summary Top Word Pairs in Tweet in G3:
[127] supply,chain [75] #supplychain,#logistics [35] follow,edgistify [26] edgistify,regular [25] machine,learning [25] supply,chains [24] regular,#updates [24] #updates,#supplychain [24] #logistics,industry [24] #digitalsupplychain,#warehousing Top Word Pairs in Tweet in G4:
[276] bot,valley [182] valley,make [182] make,india [182] india,capital [182] capital,global [182] global,robotics [182] robotics,industry [182] industry,robots [182] robots,come [182] come,life Top Word Pairs in Tweet in G5:
[104] successfully,driving [104] driving,radical [104] radical,transparency [95] here's,#emeapartners [95] #emeapartners,tracelabshq [95] tracelabshq,origin_trail [95] origin_trail,core [95] core,developer [95] developer,successfully [59] oracleemeaps,here's Top Word Pairs in Tweet in G6:
[25] supply,chain [18] #coupasupplychain,#supplychain [16] mark,calendar [16] jim,piana [16] piana,joe [16] joe,henderson [16] live,demo [16] register,#coupasupplychain [16] #supplychain,llamasoft [15] first,block Top Word Pairs in Tweet in G7:
[24] #logistics,#supplychain [21] #aircargo,#airfreight [19] #airfreight,#supplychain [15] #supplychain,#pharmatransport [14] #logistique,#supplychain [14] #covid19,#vaccines [13] #pharmatransport,#covid19 [12] #cargo4vaccines,#sunrays [12] #sunrays,#aircargo [5] #transport,#logistique Top Word Pairs in Tweet in G8:
[22] tomorrow,german [22] german,govt [22] govt,cabinet [22] cabinet,discuss [22] discuss,adopt [22] adopt,proposed [22] proposed,#supplychain [22] #supplychain,law [22] law,unfortunately [22] unfortunately,falls Top Word Pairs in Tweet in G9:
[15] covid,19 [14] 19,vaccine [14] supply,chain [12] #supplychain,distribution [10] trust,important [10] important,factor [10] factor,#supplychain [10] distribution,covid [10] vaccine,listen [10] listen,ibm Top Word Pairs in Tweet in G10:
[29] supply,chain [22] supply,chains [16] paradigm,shift [16] shift,induced [16] induced,digitalization [16] digitalization,digital [16] digital,diffusion [16] diffusion,requires [16] requires,adjustment [16] adjustment,supply Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
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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 G3:
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Top Tweeters in G10: