The graph represents a network of 5,002 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, 09 January 2021 at 21:00 UTC.
The requested start date was Saturday, 09 January 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 5-day, 6-hour, 8-minute period from Sunday, 03 January 2021 at 18:51 UTC to Saturday, 09 January 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 : 5002
Unique Edges : 4036
Edges With Duplicates : 9059
Total Edges : 13095
Number of Edge Types : 5
Tweet : 3617
Retweet : 3042
MentionsInRetweet : 4196
Mentions : 2130
Replies to : 110
Self-Loops : 3729
Reciprocated Vertex Pair Ratio : 0.0362059211766924
Reciprocated Edge Ratio : 0.0698817106460419
Connected Components : 1438
Single-Vertex Connected Components : 970
Maximum Vertices in a Connected Component : 2324
Maximum Edges in a Connected Component : 7821
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.341877
Graph Density : 0.000219668181517635
Modularity : 0.432312
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 5,002 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, 09 January 2021 at 21:00 UTC.
The requested start date was Saturday, 09 January 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 5-day, 6-hour, 8-minute period from Sunday, 03 January 2021 at 18:51 UTC to Saturday, 09 January 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:
[1081] supply,chain [575] link,bio [389] #logistics,#supplychain [364] click,link [352] #supplychain,#logistics [269] #supplychain,job [250] supply,chains [165] covid,19 [163] happy,year [161] see,latest Top Word Pairs in Tweet in G1:
[537] link,bio [327] click,link [253] #supplychain,job [237] supply,chain [147] see,latest [144] bio,apply [125] bio,see [124] recommend,anyone [118] latest,#supplychain [112] great,fit Top Word Pairs in Tweet in G2:
[226] supply,chain [62] #ai,#machinelearning [59] #supplychain,#logistics [51] #ai,#iot [50] #smart,pivoting [50] pivoting,sorter [47] #ml,#supplychain [46] sorter,scale_banana [46] jblefevre60,#ai [43] machine,learning Top Word Pairs in Tweet in G3:
[77] supply,chain [29] #logistics,#supplychain [11] #supplychain,management [10] watch,preview [10] preview,video [10] video,blog [10] blog,talks [10] talks,next [10] next,gen [10] gen,#rpa Top Word Pairs in Tweet in G4:
[118] follow,edgistify [79] edgistify,regular [42] regular,#updates [38] #supplychain,#logistics [31] #digitalsupplychain,#warehousing [30] #logistics,industry [29] #updates,#supplychain [29] #transportation,#manpower [28] industry,#digitalsupplychain [26] #warehousing,#covid Top Word Pairs in Tweet in G5:
[43] supply,chain [20] supply,chains [16] #supplychain,#logistics [14] covid,19 [9] #logistics,#supplychain [8] #supplychain,disruption [7] learn,more [7] chain,management [7] read,more [6] agility,forbes Top Word Pairs in Tweet in G6:
[44] supply,chain [12] #artificialintelligence,change [12] #futureofwork,#ai [12] #ai,#ces2021 [12] supply,chains [12] comes,#supplychain [12] #supplychain,#strategic [12] #strategic,planning [12] planning,#bigdata [12] #bigdata,#ai Top Word Pairs in Tweet in G7:
[60] supply,chain [16] check,replay [13] supply,chains [11] chris,barnes [11] kim,winter [10] enjoyed,time [10] time,kim [10] winter,logsexec [10] logsexec,interview [10] interview,few Top Word Pairs in Tweet in G8:
[76] ðÿž,year [76] year,zebra [76] zebra,devtalk [76] devtalk,ðÿž [76] ðÿž,#iota [76] #iota,learn [76] learn,zebra [76] zebra,savanna [76] savanna,#iota [76] #iota,track Top Word Pairs in Tweet in G9:
[40] dr,thomas [40] thomas,lee [38] free,webinar [33] org,structure [25] lee,axeltroike [24] supply,chain [20] webinar,feat [20] feat,dr [19] optimal,org [19] structure,staffing Top Word Pairs in Tweet in G10:
[26] covid,19 [19] supply,chains [16] sap,ibp [16] find,covid [16] 19,#supplychain [16] #supplychain,look [15] long,lean [15] lean,low [15] low,cost [15] cost,supply Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: