The graph represents a network of 5,045 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, 10 December 2022 at 20:43 UTC.
The requested start date was Saturday, 10 December 2022 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 4-day, 6-hour, 51-minute period from Monday, 05 December 2022 at 11:03 UTC to Friday, 09 December 2022 at 17:55 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 : 5045
Unique Edges : 4096
Edges With Duplicates : 8056
Total Edges : 12152
Number of Edge Types : 5
Mentions : 2564
Tweet : 4184
Replies to : 123
Retweet : 2071
MentionsInRetweet : 3210
Self-Loops : 4268
Reciprocated Vertex Pair Ratio : 0.0393081761006289
Reciprocated Edge Ratio : 0.075642965204236
Connected Components : 2017
Single-Vertex Connected Components : 1411
Maximum Vertices in a Connected Component : 1458
Maximum Edges in a Connected Component : 5313
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.669939
Graph Density : 0.000181829042188896
Modularity : 0.422128
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,045 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, 10 December 2022 at 20:43 UTC.
The requested start date was Saturday, 10 December 2022 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 4-day, 6-hour, 51-minute period from Monday, 05 December 2022 at 11:03 UTC to Friday, 09 December 2022 at 17:55 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:
[1261] supply,chain [594] link,bio [476] #logistics,#supplychain [391] click,link [242] cvs,health [234] #supplychain,job [215] #supplychain,#logistics [177] supply,chains [174] bio,apply [153] #freight,#logistics Top Word Pairs in Tweet in G1:
[560] link,bio [468] supply,chain [370] click,link [220] cvs,health [219] #supplychain,job [167] bio,apply [139] see,latest [119] bio,see [106] great,fit [102] delivery,driver Top Word Pairs in Tweet in G2:
[87] supply,chain [56] scottwluton,gregoryswhite [42] _supplychainnow,join [38] join,scottwluton [37] connect,friends [37] still,time [37] time,connect [31] live,stream [26] missed,webinar [25] unavoidable,#crash Top Word Pairs in Tweet in G3:
[40] supply,chain [12] production,cut [12] rwang0,constellationr [12] chinese,production [12] cut,yahoofinance [12] tesla,denies [12] #ai,#artificialintelligence [12] yahoofinance,rwang0 [12] domain,sale [12] reports,chinese Top Word Pairs in Tweet in G4:
[46] supply,chain [17] 2025,lt [17] mnw,reach [17] mnwsupplychain,#crypto [17] reach,100 [17] crypto,twitter [17] 100,before [17] gt,mnwsupplychain [17] #iot,#iiot [17] before,2025 Top Word Pairs in Tweet in G5:
[22] supply,chain [21] spotlight,awscloud [21] #reinvent,session [21] session,spotlight [21] awscloud,youtube [21] #energy,#sustainability [21] #sustainability,#reinvent [21] youtube,#netzero [20] 30pm,monday [20] #netzero,# Top Word Pairs in Tweet in G6:
[44] #truckers,#trucking [44] #trucks,#truckers [38] #trucking,#logistics [35] #logistics,#daleylogistics [30] #daleymotivation,#dailymotivation [25] daleylogistics,#daleymotivation [24] #logistics,#supplychain [19] #amglogistics,#nigeria [17] #truckingindustry,#supplychain [17] #daleylogistics,#truckingindustry Top Word Pairs in Tweet in G7:
[28] supply,chain [21] cvs,health [21] link,bio [15] click,link [14] #monroeville,pa [11] digital,ecosystems [11] ecosystems,insurers [11] insurers,opportunities [11] mckinsey,digital [11] opportunities,#internetofthings Top Word Pairs in Tweet in G8:
[31] supply,chain [14] improve,supply [14] largely,due [14] due,tech [14] continues,evolve [14] #supplychain,continues [14] tech,blockchain [14] blockchain,continuing [14] modern,#supplychain [14] continuing,improve Top Word Pairs in Tweet in G9:
[9] #supplychaindisruption,royal [9] vp,strategic [9] primed,more [9] solutions,e2open [9] mail,strikes [9] actions,businesses [9] more,#supplychaindisruption [9] reveals,actions [9] royal,mail [9] go,ahead Top Word Pairs in Tweet in G10:
[266] #logistics,#supplychain [131] #freight,#logistics [120] #supplychain,#transportation [77] #shipping,#freight [77] #automotive,#logistics [75] #supplychain,lloydslist [71] #transportation,automotiveworld [54] #shippingpodcast,#freight [54] #supplychain,theloadstar [34] #transportation,logisticsbizz 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:
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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: