The graph represents a network of 4,776 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, 03 July 2021 at 19:33 UTC.
The requested start date was Saturday, 03 July 2021 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, 3-hour, 13-minute period from Tuesday, 29 June 2021 at 14:47 UTC to Friday, 02 July 2021 at 18:00 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 : 4776
Unique Edges : 3486
Edges With Duplicates : 9088
Total Edges : 12574
Number of Edge Types : 5
Tweet : 3466
Mentions : 1997
Retweet : 3123
MentionsInRetweet : 3870
Replies to : 118
Self-Loops : 3621
Reciprocated Vertex Pair Ratio : 0.0324410163339383
Reciprocated Edge Ratio : 0.0628433311360141
Connected Components : 1566
Single-Vertex Connected Components : 1052
Maximum Vertices in a Connected Component : 1891
Maximum Edges in a Connected Component : 7112
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.991743
Graph Density : 0.00019955799942119
Modularity : 0.39434
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,776 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, 03 July 2021 at 19:33 UTC.
The requested start date was Saturday, 03 July 2021 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, 3-hour, 13-minute period from Tuesday, 29 June 2021 at 14:47 UTC to Friday, 02 July 2021 at 18:00 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:
[937] supply,chain [777] #bigdata,#frenchtech [772] #frenchtech,#analytics [759] #analytics,#datascience [739] #datascience,#ai [667] link,bio [436] #ai,#machinelearning [389] click,link [330] #supplychain,job [302] #machinelearning,#iot Top Word Pairs in Tweet in G1:
[595] link,bio [342] click,link [302] #supplychain,job [246] supply,chain [175] see,latest [161] bio,see [145] latest,#supplychain [132] recommend,anyone [126] bio,apply [121] job,opening Top Word Pairs in Tweet in G2:
[766] #bigdata,#frenchtech [761] #frenchtech,#analytics [745] #analytics,#datascience [728] #datascience,#ai [431] #ai,#machinelearning [300] #machinelearning,#iot [203] #iot,#iiot [188] #usa,#ai [188] #ai,#iiot [170] #cybersecurity,#custserv Top Word Pairs in Tweet in G3:
[126] supply,chain [123] logistics,supply [105] 2021,10 [105] 10,00 [97] npc_india_gov,presents [97] presents,online [97] online,session [97] session,smart [97] smart,logistics [97] chain,management Top Word Pairs in Tweet in G4:
[52] supply,chain [13] continuous,design [12] supporting,#supplychain [12] #supplychain,resiliency [12] resiliency,continuous [12] design,#coupasupplychain [12] news,today [11] consumidores,podrían [11] podrían,interesarse [11] interesarse,#robots Top Word Pairs in Tweet in G5:
[38] supply,chain [24] #supplychain,#logistics [10] supply,chains [9] read,more [6] covid,19 [6] #procurement,#supplychain [5] pros,know [5] verusen_ai,team [5] 19,pandemic [5] chain,leaders Top Word Pairs in Tweet in G6:
[28] supply,chain [10] #blockchain,networks [10] networks,permissioned [10] permissioned,versus [10] versus,permissionless [10] permissionless,infographic [10] infographic,#supplychain [10] #supplychain,#privacy [10] #privacy,#crypto [10] #crypto,#bitcoin Top Word Pairs in Tweet in G7:
[44] supply,chain [9] digitizing,supply [9] read,more [9] #supplychain,#logistics [8] #supplychain,#retail [7] #logistics,#supplychain [7] #supplychain,read [6] forbes,scmatsap [6] supply,chains [5] raises,bar Top Word Pairs in Tweet in G8:
[23] #logistique,#supplychain [15] #maritime,#supplychain [14] #transport,#logistique [11] supply,chain [8] cité,internationale [7] #supplychain,#logistics [7] green,#logistique [7] #logistique,telle [7] telle,voulons [7] voulons,concevoir Top Word Pairs in Tweet in G9:
[22] know,proud [22] proud,member [22] member,inatba_org [22] inatba_org,memberships [22] memberships,offers [22] offers,many [22] many,opportunities [22] opportunities,such [21] mrphsupplychain,know [21] such,network Top Word Pairs in Tweet in G10:
[28] supply,chain [5] procurement,supply [5] chain,find [4] way,better [4] better,procurement [4] caught,louise [4] louise,turner [4] turner,ecommerce [4] ecommerce,deployment [4] deployment,lead Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: