The graph represents a network of 5,323 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, 13 March 2021 at 21:00 UTC.
The requested start date was Saturday, 13 March 2021 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 2-day, 19-hour, 28-minute period from Tuesday, 09 March 2021 at 23:43 UTC to Friday, 12 March 2021 at 19:11 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 : 5323
Unique Edges : 4752
Edges With Duplicates : 10217
Total Edges : 14969
Number of Edge Types : 5
Tweet : 3015
Retweet : 3581
MentionsInRetweet : 6156
Mentions : 2080
Replies to : 137
Self-Loops : 3159
Reciprocated Vertex Pair Ratio : 0.0373612630920744
Reciprocated Edge Ratio : 0.0720313441832429
Connected Components : 1552
Single-Vertex Connected Components : 990
Maximum Vertices in a Connected Component : 2076
Maximum Edges in a Connected Component : 8797
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.709893
Graph Density : 0.000234247541195056
Modularity : 0.444629
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 5,323 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, 13 March 2021 at 21:00 UTC.
The requested start date was Saturday, 13 March 2021 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 2-day, 19-hour, 28-minute period from Tuesday, 09 March 2021 at 23:43 UTC to Friday, 12 March 2021 at 19:11 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:
[990] supply,chain [703] #bigdata,#uk [703] #uk,#linkedin [664] #supplychain,#women [662] #women,#insurtech [655] #insurtech,#usa [637] #linkedin,#supplychain [510] link,bio [485] #usa,#socialmedia [328] #socialmedia,#iiot Top Word Pairs in Tweet in G1:
[484] link,bio [300] click,link [223] #supplychain,job [207] supply,chain [133] bio,see [118] bio,apply [108] see,latest [98] latest,#supplychain [96] #supplychain,#logistics [84] job,opening Top Word Pairs in Tweet in G2:
[687] #bigdata,#uk [687] #uk,#linkedin [646] #supplychain,#women [646] #women,#insurtech [639] #insurtech,#usa [622] #linkedin,#supplychain [471] #usa,#socialmedia [321] #socialmedia,#iiot [282] #iiot,#iot [204] #iot,#tech Top Word Pairs in Tweet in G3:
[54] #supplychain,#logistics [52] #airfreight,division [52] division,enable [52] enable,meet [52] meet,growing [52] growing,demand [52] demand,urgent [52] urgent,transport [52] transport,offer [52] offer,customers Top Word Pairs in Tweet in G4:
[60] supply,chain [18] kelly,barner [14] #supplychain,#logistics [10] cc,buyersmeetpoint [9] digital,supply [9] great,list [9] list,taugenthaler [9] taugenthaler,congrats [9] congrats,especially [9] especially,friend Top Word Pairs in Tweet in G5:
[70] supply,chain [50] systematic,approach [50] approach,help [50] help,supply [50] chain,planning [50] planning,leaders [50] leaders,make [50] make,right [50] right,decisions [50] decisions,digital Top Word Pairs in Tweet in G6:
[100] cisagov,web [64] m365,compromise [62] affected,#solarwinds [62] #solarwinds,ad [62] ad,m365 [62] compromise,cisagov [62] web,help [62] help,stay [62] stay,updated [62] updated,remediation Top Word Pairs in Tweet in G7:
[105] tente,ma [105] ma,chance [105] chance,rentrée [105] rentrée,2021 [105] 2021,2022 [105] 2022,bac [105] bac,école [105] école,transport [102] transport,recherche [102] recherche,apprentissage Top Word Pairs in Tweet in G8:
[36] supply,chain [10] #sapstore,oms [10] oms,dataxstream [10] dataxstream,helps [10] helps,organizations [10] organizations,gain [10] gain,competitive [10] competitive,advantage [7] machine,learning [6] #bigdata,#uk Top Word Pairs in Tweet in G9:
[67] #iota,#dlts [67] #dlts,ensuresec [67] ensuresec,covering [67] covering,proof [67] proof,side [67] side,zero [67] zero,trust [67] trust,approach [67] approach,mitigate [67] mitigate,#supplychain Top Word Pairs in Tweet in G10:
[39] game,changer [38] know,70 [38] 70,#supplychain [38] #supplychain,professionals [38] professionals,see [38] see,#cloud [38] #cloud,solutions [38] solutions,game [38] changer,check [38] check,#logistics Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: