The graph represents a network of 6,030 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, 14 May 2022 at 19:40 UTC.
The requested start date was Saturday, 14 May 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, 0-hour, 26-minute period from Tuesday, 10 May 2022 at 23:33 UTC to Saturday, 14 May 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 : 6030
Unique Edges : 5448
Edges With Duplicates : 8581
Total Edges : 14029
Number of Edge Types : 5
Tweet : 3522
Mentions : 3290
Retweet : 2644
MentionsInRetweet : 4292
Replies to : 281
Self-Loops : 3647
Reciprocated Vertex Pair Ratio : 0.033104309806371
Reciprocated Edge Ratio : 0.064087061668682
Connected Components : 2016
Single-Vertex Connected Components : 1266
Maximum Vertices in a Connected Component : 2221
Maximum Edges in a Connected Component : 7201
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.754073
Graph Density : 0.000181983871761885
Modularity : 0.493954
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,030 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, 14 May 2022 at 19:40 UTC.
The requested start date was Saturday, 14 May 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, 0-hour, 26-minute period from Tuesday, 10 May 2022 at 23:33 UTC to Saturday, 14 May 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:
[1142] supply,chain [469] link,bio [309] click,link [209] #supplychain,job [199] #supplychain,#logistics [186] #logistics,#supplychain [165] supply,chains [146] learn,more [132] bio,apply [119] griederdaniel,strg_f Top Word Pairs in Tweet in G1:
[437] supply,chain [378] link,bio [243] click,link [171] #supplychain,job [103] bio,apply [97] bio,see [93] see,latest [85] great,fit [75] cvs,health [74] recommend,anyone Top Word Pairs in Tweet in G2:
[149] supply,chain [34] sallyeaves,great [34] melissa,goldman [33] takeaways,day [33] software,#supplychain [29] reserved,spot [29] spot,attend [29] 18th,register [29] being,nominated [29] scottwluton,gregoryswhite Top Word Pairs in Tweet in G3:
[38] supply,chain [25] decade,high [25] high,#inflation [25] #inflation,induced [25] induced,#federalreserve [25] #federalreserve,easing [25] easing,#biden's [25] #biden's,#covid [25] #covid,spending [25] spending,spree Top Word Pairs in Tweet in G4:
[119] griederdaniel,strg_f [76] andreasstreubig,using [76] using,#forcedlabour [76] #forcedlabour,#supplychain [76] #supplychain,part [74] dear,#director [74] #director,#sustainability [74] #sustainability,andreasstreubig [69] griederdaniel,hugoboss [69] hugoboss,#eastturkestan Top Word Pairs in Tweet in G5:
[39] biden,incompetent [39] incompetent,keep [39] keep,#babyformula [39] #babyformula,shelf [39] shelf,send [39] send,congress [39] congress,#supplychain [37] cuttforcongress,biden [31] #supplychain,exper [18] breaking,possible Top Word Pairs in Tweet in G6:
[10] unf,ck [10] supply,chain [5] ck,supply [5] supply,chain' [5] chain',getstord's [5] getstord's,podcast [5] podcast,delivered [5] delivered,hosted [5] hosted,#supplychain [5] #supplychain,expert Top Word Pairs in Tweet in G7:
[16] supply,chain [14] #logistique,#supplychain [10] #transport,#logistique [10] 3d,printer [8] #supplychain,#transport [7] blockchain,provides [7] provides,supply [7] chain,capabilities [7] capabilities,possible [7] possible,recent Top Word Pairs in Tweet in G8:
[24] left,coast [24] coast,#losangeles [24] #losangeles,relying [24] relying,prayer [24] prayer,potus [24] potus,re [24] re,#supplychain [24] #supplychain,woes [24] woes,basically [23] gracienunyabiz,left Top Word Pairs in Tweet in G9:
[46] shipping,routes [46] routes,china [46] china,europe [46] europe,continue [46] continue,face [46] face,delays [46] delays,30 [46] 30,days [46] days,working [45] mnwsupplychain,shipping Top Word Pairs in Tweet in G10:
[23] supply,chain [12] sap,#sapphire [12] #sapphire,showcases [12] showcases,#sustainability [12] #sustainability,#supplychain [12] #supplychain,innovation [12] innovation,low [12] low,code [12] code,development [11] marcusborba,sap 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 G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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: