The graph represents a network of 3,903 Twitter users whose recent tweets contained "supplychain", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 20:49 UTC.
The tweets in the network were tweeted over the 2612-day, 7-hour, 24-minute period from Thursday, 10 December 2015 at 17:35 UTC to Saturday, 04 February 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3903
Unique Edges : 2966
Edges With Duplicates : 5906
Total Edges : 8872
Number of Edge Types : 9
Mentions : 1702
Retweet : 1656
MentionsInRetweet : 2548
Tweet : 2494
Replies to : 178
MentionsInReplyTo : 145
Quote : 64
MentionsInQuote : 83
MentionsInQuoteReply : 2
Self-Loops : 2914
Reciprocated Vertex Pair Ratio : 0.040394973070018
Reciprocated Edge Ratio : 0.0776531492666091
Connected Components : 1527
Single-Vertex Connected Components : 1042
Maximum Vertices in a Connected Component : 987
Maximum Edges in a Connected Component : 3499
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 7.171702
Graph Density : 0.000228306814416699
Modularity : 0.447344
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,903 Twitter users whose recent tweets contained "supplychain", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 20:49 UTC.
The tweets in the network were tweeted over the 2612-day, 7-hour, 24-minute period from Thursday, 10 December 2015 at 17:35 UTC to Saturday, 04 February 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[904] supply,chain [364] #logistics,#supplychain [240] link,bio [197] #supplychain,#logistics [165] click,link [124] #freight,#logistics [114] learn,more [108] cvs,health [92] supply,chains [86] #shipping,#supplychain Top Word Pairs in Tweet in G1:
[386] supply,chain [231] link,bio [155] click,link [108] cvs,health [102] #logistics,#supplychain [91] #supplychain,#logistics [82] #supplychain,job [73] #shipping,#supplychain [70] bio,apply [63] learn,more Top Word Pairs in Tweet in G2:
[85] supply,chain [22] check,replay [21] evankirstel,kevin_jackson [21] kevin_jackson,sallyeaves [19] excellent,session [17] few,friends [17] friends,check [17] scottwluton,excellent [17] #goodnews,great [17] dangerous,kind Top Word Pairs in Tweet in G3:
[55] lastmileair,#drones [48] lastmileair,#lastmileair [47] #drones,#robotics [46] #supplychain,#5g [46] #robotics,#supplychain [46] #lastmileair,robotic [46] #5g,#ai [46] #delivery,#drone [46] attitude,lastmileair [46] #drone,bad Top Word Pairs in Tweet in G4:
[28] supply,chain [16] 2023,statement [14] trend,decisive [14] decisive,2023 [13] statement,muhammad [13] ihsan,sukmana [13] muhammad,ihsan [11] netzpalaver,trend [10] sukmana,#mitigant [10] #mitigant,cyber_mitigant Top Word Pairs in Tweet in G5:
[17] supply,chain [7] temperature,controlled [7] food,products [7] #packaging,#foodpackaging [7] require,#temperature [7] products,require [7] controlled,packaging [7] packaging,food [7] #temperature,#packaging [6] packaging,goals Top Word Pairs in Tweet in G6:
[34] supply,chain [21] tools,leading [21] companies,applying [21] management,tools [21] smart,management [21] risks,require [21] diversity,supply [21] chain,risks [21] leading,companies [21] complexity,diversity Top Word Pairs in Tweet in G7:
[180] #logistics,#supplychain [104] #freight,#logistics [66] #shipping,#freight [63] #supplychain,#transportation [62] #supplychain,lloydslist [47] #transportation,automotiveworld [47] #automotive,#logistics [38] #shippingpodcast,#freight [36] #supplychain,theloadstar [18] supply,chain Top Word Pairs in Tweet in G8:
[21] 2025,lt [21] mnw,reach [21] reach,100 [21] mnwsupplychain,#cryptocurrency [21] 100,before [21] gt,mnwsupplychain [21] #crypto,twitter [21] before,2025 [21] twitter,expects [21] expects,mnw Top Word Pairs in Tweet in G9:
[52] vechainthor,accts [38] stay,top [36] #compliance,needs [36] needs,optimize [36] know,power [36] top,#compliance [36] power,#mystory [36] dnv_group,stay [36] #vefam,know [36] #mystory,dnv_group Top Word Pairs in Tweet in G10:
[7] #supplychain,#logistics [6] supply,chain [4] founder,see [4] fedex,founder [4] amazon,speaking [4] speaking,fedex [4] smith,worried [4] #logistics,#supplychain [4] fred,smith [4] see,amazon 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 G6:
Top Replied-To in G7:
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 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: