The graph represents a network of 4,844 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, 17 December 2022 at 20:45 UTC.
The requested start date was Saturday, 17 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, 3-hour, 50-minute period from Monday, 12 December 2022 at 14:04 UTC to Friday, 16 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 : 4844
Unique Edges : 3758
Edges With Duplicates : 8199
Total Edges : 11957
Number of Edge Types : 5
Tweet : 4129
Mentions : 2321
Retweet : 2165
MentionsInRetweet : 3226
Replies to : 116
Self-Loops : 4242
Reciprocated Vertex Pair Ratio : 0.0290602296695571
Reciprocated Edge Ratio : 0.0564791619221134
Connected Components : 1897
Single-Vertex Connected Components : 1345
Maximum Vertices in a Connected Component : 1440
Maximum Edges in a Connected Component : 4768
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.577786
Graph Density : 0.0001871737035056
Modularity : 0.414058
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,844 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, 17 December 2022 at 20:45 UTC.
The requested start date was Saturday, 17 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, 3-hour, 50-minute period from Monday, 12 December 2022 at 14:04 UTC to Friday, 16 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:
[1225] supply,chain [518] link,bio [494] #logistics,#supplychain [335] click,link [229] cvs,health [221] #supplychain,job [198] #supplychain,#logistics [176] #supplychain,#transportation [174] learn,more [162] supply,chains Top Word Pairs in Tweet in G1:
[490] link,bio [475] supply,chain [313] click,link [222] cvs,health [211] #supplychain,job [132] bio,apply [129] bio,see [121] see,latest [107] #shipping,#supplychain [105] great,fit Top Word Pairs in Tweet in G2:
[130] supply,chain [47] scottwluton,gregoryswhite [36] #procurement,#supplychain [33] #supplychain,#logistics [31] join,scottwluton [28] 12,noon [28] connect,friends [28] still,time [28] time,connect [27] digital,outcomes Top Word Pairs in Tweet in G3:
[18] supply,chain [13] climate,more [13] ghaff,shares [13] attackers,evolving [13] #security,climate [13] vulnerable,ghaff [13] evolving,#security [13] shares,approach [13] more,vulnerable [10] 4enterprisers,attackers Top Word Pairs in Tweet in G4:
[26] supply,chain [8] read,more [8] #supplychain,#procurement [8] #womeninsupplychain,#supplychain [6] more,follow [5] forbes,#china [5] data,trustworthy [5] cultivating,quality [5] follow,#ltsc [5] chain,disruptions Top Word Pairs in Tweet in G5:
[18] supply,chain [13] #logistique,#supplychain [8] #supplychain,#logistics [8] #retail,#supplychain [6] #coldchain,#supplychain [5] disruptions,according [5] coupa,leader [5] think,fulfill [5] consumers,holiday [5] study,explores Top Word Pairs in Tweet in G6:
[21] supply,chain [16] top,software [15] supply,chains [15] 2022,top [11] software,technology [11] tech,startup [11] top,tech [9] technology,provider [8] scmatsap,pop [8] chains,scmatsap Top Word Pairs in Tweet in G7:
[12] supply,chain [7] future,proof [7] management,enormous [7] increasingly,complex [7] help,future [7] #supplychains,cnbc [7] proof,#supplychains [7] stakes,#supplychain [7] enormous,operating [7] #ai,help Top Word Pairs in Tweet in G8:
[21] supply,chain [15] see,deloitte [15] join,deloitte [15] #iotswc23,see [15] deloitte,project [15] #iot,technologies [15] project,george [15] leverages,robotics [15] technologies,help [15] deloitte,#iotswc23 Top Word Pairs in Tweet in G9:
[18] #airfreight,#supplychain [18] #aircargo,#airfreight [11] supply,chain [8] air,cargo [5] supply,chains [3] shares,insight [3] eshkenazi,shares [3] trends,emerging [3] abe,eshkenazi [3] learn,more Top Word Pairs in Tweet in G10:
[48] satan,klaus [48] drops,down [48] more,cookies [48] down,chimney [48] far,more [48] klaus,drops [48] taking,far [48] cookies,milk [48] milk,despite [48] chimney,taking 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 G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: