The graph represents a network of 4,639 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 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 20:33 UTC.
The tweets in the network were tweeted over the 2591-day, 7-hour, 24-minute period from Thursday, 10 December 2015 at 17:35 UTC to Saturday, 14 January 2023 at 01:00 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 : 4639
Unique Edges : 1994
Edges With Duplicates : 7144
Total Edges : 9138
Number of Edge Types : 9
Retweet : 2630
MentionsInRetweet : 2976
Tweet : 1768
Mentions : 1096
Replies to : 200
MentionsInReplyTo : 353
Quote : 42
MentionsInQuote : 70
MentionsInQuoteReply : 3
Self-Loops : 2032
Reciprocated Vertex Pair Ratio : 0.0139211136890951
Reciprocated Edge Ratio : 0.0274599542334096
Connected Components : 1176
Single-Vertex Connected Components : 816
Maximum Vertices in a Connected Component : 1888
Maximum Edges in a Connected Component : 3775
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 2.436853
Graph Density : 0.000182796901348514
Modularity : 0.439337
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,639 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 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 20:33 UTC.
The tweets in the network were tweeted over the 2591-day, 7-hour, 24-minute period from Thursday, 10 December 2015 at 17:35 UTC to Saturday, 14 January 2023 at 01:00 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:
[1889] รก,จท [1888] างรายได,จากต [1888] กรก,งร [1888] งไม,ลงท [1888] ไปสร,างรายได [1888] จท,เป [1888] จขนาดย,กษ [1888] งงานของไทยถ,งไม [1888] flagship,ไปสร [1888] านพล,งงานของไทยถ Top Word Pairs in Tweet in G1:
[1889] รก,จท [1888] งร,ฐว [1888] กษ,ด [1888] จากต,างประเทศแล [1888] น,flagship [1888] เป,น [1888] ไปสร,างรายได [1888] สาหก,จขนาดย [1888] นหร,อทำธ [1888] ด,านพล Top Word Pairs in Tweet in G2:
[274] supply,chain [164] link,bio [108] click,link [90] cvs,health [69] #supplychain,job [67] #supplychain,#logistics [64] #logistics,#supplychain [59] #shipping,#supplychain [57] bio,apply [46] see,latest Top Word Pairs in Tweet in G3:
[33] supply,chain [11] experience,featuring [10] 12,noon [9] final,experience [9] transforming,final [9] disrupting,deathcare [9] featuring,scott [9] deathcare,industry [9] interview,disrupting [9] industry,transforming Top Word Pairs in Tweet in G4:
[22] supply,chain [15] #gasolina,#gasoline [15] #gas,#gasolina [10] #gasoline,#gasprices [9] #logistics,#supplychain [8] #supplychain,#logistics [8] #iot,#iiot [7] #technology,committed [7] combines,industry [7] #fuelmanager,#logistics Top Word Pairs in Tweet in G5:
[39] confusion,2022 [39] retreat,2023 [39] easing,stimulus [39] transitory,confusion [39] #covid,induced [39] #inflation,triggered [39] housing,retreat [39] fed,easing [39] changed,pricing [39] requires,#recessionary Top Word Pairs in Tweet in G6:
[17] #robotics,#supplychain [17] #supplychain,#logistics [15] supply,chain [14] packages,khulood_almani [14] #robots,sort [14] #rpa,#robotics [14] khulood_almani,#automation [14] amazon,trained [14] #automation,#rpa [14] sort,packages Top Word Pairs in Tweet in G7:
[25] supply,chain [12] techmenttech,link [12] source,techmenttech [11] 10,logistics [11] technology,trends [11] logistics,supply [11] top,10 [11] trends,disrupt [11] disrupt,disrupted [11] disrupted,source Top Word Pairs in Tweet in G8:
[123] #logistics,#supplychain [61] #freight,#logistics [56] #supplychain,#transportation [41] #transportation,automotiveworld [41] #automotive,#logistics [36] #shipping,#freight [35] #supplychain,lloydslist [25] supply,chain [25] #supplychain,theloadstar [25] #shippingpodcast,#freight Top Word Pairs in Tweet in G9:
[12] supply,chain [4] logistical,bottlenecks [4] freight,demand [4] exclusive,interview [4] easing,additional [4] ship,ordering [4] ordering,rush [4] 2021,ship [4] bottlenecks,easing [4] falling,freight Top Word Pairs in Tweet in G10:
[4] maajidnawaz,michaelpbreton [4] kingston_truth,shabnampalesamo [4] riseupandresist,sophiadahl1 [4] michaelpbreton,kingston_truth [4] sophiadahl1,barbarasghost1 [4] barbarasghost1,maajidnawaz [2] draseemmalhotra,realstewpeters [2] sikhfortruth,cosmindzs [2] berniespofforth,therealkeean [2] andrewlawton,efenigson Top Replied-To in Entire Graph:
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: