The graph represents a network of 20,686 Twitter users whose recent tweets contained ""supply chain" OR "production network"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 01 July 2022 at 11:58 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 5-minute period from Wednesday, 29 June 2022 at 16:28 UTC to Friday, 01 July 2022 at 10:34 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 : 20686
Unique Edges : 23045
Edges With Duplicates : 3890
Total Edges : 26935
Number of Edge Types : 5
Tweet : 4482
Mentions : 5360
Replies to : 3434
Retweet : 10157
MentionsInRetweet : 3502
Self-Loops : 4594
Reciprocated Vertex Pair Ratio : 0.0170169194012385
Reciprocated Edge Ratio : 0.0334643781762393
Connected Components : 5049
Single-Vertex Connected Components : 2415
Maximum Vertices in a Connected Component : 7447
Maximum Edges in a Connected Component : 11305
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.132281
Graph Density : 4.87461833348676E-05
Modularity : 0.801144
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 20,686 Twitter users whose recent tweets contained ""supply chain" OR "production network"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 01 July 2022 at 11:58 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 5-minute period from Wednesday, 29 June 2022 at 16:28 UTC to Friday, 01 July 2022 at 10:34 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 : TwitterSearch
Graph Term : "supply chain" OR "production network"
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[17019] supply,chain [2977] disrupt,supply [2948] waste,fuel [2948] fuel,manpower [2948] manpower,disrupt [2934] truck,checkpoints [2933] chain,political [2932] abbott,announces [2932] announces,closing [2932] closing,border Top Word Pairs in Tweet in G1:
[2913] supply,chain [2861] disrupt,supply [2858] waste,fuel [2858] fuel,manpower [2858] manpower,disrupt [2842] abbott,announces [2842] announces,closing [2842] closing,border [2842] border,truck [2842] truck,checkpoints Top Word Pairs in Tweet in G2:
[2546] supply,chain [285] chain,issues [119] chain,management [75] chain,disruptions [74] global,supply [73] software,supply [71] chain,crisis [60] inflation,supply [53] chain,problems [48] supply,chains Top Word Pairs in Tweet in G3:
[315] supply,chain [63] west,coast [53] labor,contract [42] chain,disruptions [37] disruptions,coming [37] alan,blinder [35] yossisheffi,talkinlogistics [35] talkinlogistics,justinwolfers [35] justinwolfers,mr_supply_chain [35] borispanov15,mims Top Word Pairs in Tweet in G4:
[284] supply,chain [74] chain,issues [46] gas,prices [27] global,supply [21] gop,plan [21] global,inflation [20] oil,prices [19] global,oil [19] prices,global [17] stock,market Top Word Pairs in Tweet in G5:
[434] supply,chain [126] glad,noaa [126] noaa,announce [126] announce,proposed [126] proposed,rule [126] rule,fight [126] fight,iuu [126] iuu,fishing [126] fishing,forced [126] forced,labor Top Word Pairs in Tweet in G6:
[242] supply,chain [54] gas,prices [45] chain,issues [22] economy,supply [21] baby,formula [21] president,trump [21] trump,destroys [21] destroys,lies [21] lies,disgrace [21] disgrace,media Top Word Pairs in Tweet in G7:
[269] crypto,blockchain [269] blockchain,blockchain [269] blockchain,helps [269] helps,keep [269] keep,data [269] data,safe [269] safe,medical [269] medical,records [269] records,energy [269] energy,trading Top Word Pairs in Tweet in G8:
[261] supply,chain [233] fear,arizona [233] arizona,iced [233] iced,tea [233] tea,99 [233] 99,cents [233] cents,23oz [233] 23oz,tea [233] tea,supply [233] chain,issues Top Word Pairs in Tweet in G9:
[197] supply,chain [195] unlock,grid [195] grid,privatise [195] privatise,#eskom [195] #eskom,open [195] open,power [195] power,supply [195] chain,governmentza [195] governmentza,time [195] time,fix Top Word Pairs in Tweet in G10:
[361] supply,chain [281] #amritmahotsav,#indiaat75 [281] #indiaat75,#5yearsofgst [157] #gst,removed [157] removed,cascading [157] cascading,effect [157] effect,taxes [157] taxes,allowed [157] allowed,seamless [157] seamless,flow 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 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 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: