The graph represents a network of 5,239 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, 10 April 2021 at 19:31 UTC.
The requested start date was Saturday, 10 April 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, 1-hour, 41-minute period from Tuesday, 06 April 2021 at 17:29 UTC to Friday, 09 April 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 : 5239
Unique Edges : 4348
Edges With Duplicates : 9340
Total Edges : 13688
Number of Edge Types : 5
Tweet : 3423
Mentions : 2213
Retweet : 3194
MentionsInRetweet : 4754
Replies to : 104
Self-Loops : 3582
Reciprocated Vertex Pair Ratio : 0.0387096774193548
Reciprocated Edge Ratio : 0.0745341614906832
Connected Components : 1612
Single-Vertex Connected Components : 1038
Maximum Vertices in a Connected Component : 2056
Maximum Edges in a Connected Component : 7607
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.833458
Graph Density : 0.000217076948293852
Modularity : 0.442641
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 5,239 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, 10 April 2021 at 19:31 UTC.
The requested start date was Saturday, 10 April 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, 1-hour, 41-minute period from Tuesday, 06 April 2021 at 17:29 UTC to Friday, 09 April 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:
[1054] supply,chain [599] link,bio [442] #bigdata,#uk [442] #uk,#linkedin [441] #supplychain,#women [427] #linkedin,#supplychain [388] #women,#insurtech [379] click,link [374] #insurtech,#usa [296] #supplychain,job Top Word Pairs in Tweet in G1:
[550] link,bio [336] click,link [278] #supplychain,job [253] supply,chain [168] bio,see [145] see,latest [137] recommend,anyone [131] bio,apply [111] latest,#supplychain [94] job,opening Top Word Pairs in Tweet in G2:
[54] 10,companies [54] companies,control [54] control,everything [54] everything,eat [54] eat,evankirstel [54] evankirstel,b2b [54] b2b,#foodwars [54] #foodwars,#food [54] #food,#foodscience [54] #foodscience,#retail Top Word Pairs in Tweet in G3:
[57] supply,chain [20] #maritime,#supplychain [18] #supplychain,#logistics [13] supply,chains [13] #supplychain,#tech [12] #saugatalks,axel [12] axel,schmidt [12] schmidt,proglove [11] chief,#supplychain [11] #supplychain,officers Top Word Pairs in Tweet in G4:
[405] #supplychain,#women [404] #bigdata,#uk [404] #uk,#linkedin [392] #linkedin,#supplychain [356] #women,#insurtech [342] #insurtech,#usa [235] #usa,#socialmedia [167] #socialmedia,#iiot [152] #iiot,#iot [139] #iot,#tech Top Word Pairs in Tweet in G5:
[63] supply,chain [37] #supplychain,#logistics [25] qad,blog [24] 1985,dynasys [24] dynasys,aims [24] aims,support [24] support,food [24] food,beverage [24] beverage,manufacturers [24] manufacturers,achieving Top Word Pairs in Tweet in G6:
[62] supply,chain [21] artificial,intelligence [17] supply,chains [14] #supplychain,#logistics [12] suez,canal [11] forget,suez [11] canal,supply [11] chains,need [11] need,attention [11] attention,artificial Top Word Pairs in Tweet in G7:
[48] #supplychain,#iot [47] #iot,#logistics [47] #logistics,#technology [47] #technology,#management [35] one,team [35] team,one [35] one,mission [35] mission,time [35] time,work [35] work,adoption Top Word Pairs in Tweet in G8:
[13] supply,chain [7] #iot,#sustainability [7] #sustainability,#ai [7] top,women [7] women,#supplychain [6] #ai,#5g [6] #supplychain,#ai [6] digital,transformation [5] #5g,#cloud [5] #cloud,#edge Top Word Pairs in Tweet in G9:
[75] yes,it'd [75] it'd,unrealistic [75] unrealistic,europe [75] europe,satisfy [75] satisfy,chip [75] chip,needs [75] needs,locally [75] locally,#tsmc [75] #tsmc,chair [75] chair,sez Top Word Pairs in Tweet in G10:
[76] today,day [76] day,unisot [76] unisot,launches [76] launches,module [76] module,leading [76] leading,technology [76] technology,supply [76] supply,chain [76] chain,management [76] management,product 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: