The graph represents a network of 5,173 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, 20 August 2022 at 19:43 UTC.
The requested start date was Saturday, 20 August 2022 at 00:01 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 3-day, 20-hour, 28-minute period from Monday, 15 August 2022 at 21:26 UTC to Friday, 19 August 2022 at 17:54 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 : 5173
Unique Edges : 3575
Edges With Duplicates : 8543
Total Edges : 12118
Number of Edge Types : 5
Tweet : 3812
Retweet : 2649
MentionsInRetweet : 3387
Mentions : 2148
Replies to : 122
Self-Loops : 3912
Reciprocated Vertex Pair Ratio : 0.0342281879194631
Reciprocated Edge Ratio : 0.0661907852044127
Connected Components : 1820
Single-Vertex Connected Components : 1209
Maximum Vertices in a Connected Component : 1878
Maximum Edges in a Connected Component : 6206
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.154548
Graph Density : 0.000172791708509695
Modularity : 0.423878
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 5,173 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, 20 August 2022 at 19:43 UTC.
The requested start date was Saturday, 20 August 2022 at 00:01 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 3-day, 20-hour, 28-minute period from Monday, 15 August 2022 at 21:26 UTC to Friday, 19 August 2022 at 17:54 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:
[1347] supply,chain [517] link,bio [442] #logistics,#supplychain [333] click,link [238] eisenreich,vechain [220] #supplychain,job [182] #supplychain,#logistics [162] supply,chains [153] cvs,health [145] learn,more Top Word Pairs in Tweet in G1:
[482] link,bio [458] supply,chain [303] click,link [202] #supplychain,job [144] cvs,health [131] bio,apply [111] see,latest [108] latest,#supplychain [103] bio,see [93] great,fit Top Word Pairs in Tweet in G2:
[124] supply,chain [34] #technology,#supplychain [33] latest,#news [33] #news,#travel [33] #travel,#innovation [33] #innovation,#airtravel [33] #airtravel,barometer [33] barometer,attbusiness [33] attbusiness,co [33] co,ua4ry2a0xd Top Word Pairs in Tweet in G3:
[223] eisenreich,vechain [124] vechain,highlighted [124] highlighted,recent [124] recent,publication [102] vechain,lower [102] lower,transaction [102] transaction,costs [102] costs,#ethereum [102] #ethereum,less [102] less,complex Top Word Pairs in Tweet in G4:
[62] supply,chain [41] traceability,immutability [41] immutability,transparency [41] transparency,decentralization [41] decentralization,benefits [41] benefits,blockchain [41] blockchain,bring [37] antgrasso,traceability [36] supply,chains [15] immutability,traceability Top Word Pairs in Tweet in G5:
[58] supply,chain [37] scottwluton,gregoryswhite [36] scottwluton,join [23] vector,global [23] global,logistics [23] logistics,supply [23] chain,host [23] host,leveraging [23] leveraging,logistics [23] logistics,ukraine Top Word Pairs in Tweet in G6:
[86] supply,chain [18] #supplychain,#logistics [16] supply,chains [14] sdcexec,#supplychain [14] peak,season [13] guide,supply [13] chain,peak [13] season,economic [13] economic,uncertainty [13] uncertainty,sdcexec Top Word Pairs in Tweet in G7:
[221] #logistics,#supplychain [98] #freight,#logistics [97] #supplychain,#transportation [67] #shipping,#freight [65] #supplychain,lloydslist [56] #automotive,#logistics [55] #transportation,automotiveworld [31] #shippingpodcast,#freight [29] #supplychain,theloadstar [26] #transportation,ukhaulier Top Word Pairs in Tweet in G8:
[35] #ai,#artificialintelligence [30] ronald_vanloon,#drones [22] #drones,already [22] already,saving [22] saving,lives [22] lives,world [22] world,wef [22] wef,#ai [22] #artificialintelligence,#healthcare [22] #healthcare,#healthtech Top Word Pairs in Tweet in G9:
[71] 実は安倍政権の時に政府は,サプライチェーン対策のための国内投資促進事業費補助金 [71] サプライチェーン対策のための国内投資促進事業費補助金,を出して [71] を出して,生産拠点の集中度が高く [71] 生産拠点の集中度が高く,サプライチェーンの途 [71] サプライチェーンの途,絶によるリスクが大きい重要な製品 [71] 絶によるリスクが大きい重要な製品,部素材 [71] 部素材,または国 [71] または国,が健 [71] が健,康な生活を営む上で重要な製品 [71] 康な生活を営む上で重要な製品,部素材 Top Word Pairs in Tweet in G10:
[21] supply,chain [10] supply,chains [8] #trucking,#supplychain [6] learn,more [4] order,set [4] set,expire [4] expire,aug [4] aug,24 [4] 24,run [4] run,sept Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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: