The graph represents a network of 3,475 Twitter users whose tweets in the requested range contained "#retail", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 14 March 2019 at 07:16 UTC.
The requested start date was Thursday, 14 March 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 12-hour, 57-minute period from Monday, 11 March 2019 at 19:04 UTC to Wednesday, 13 March 2019 at 08:01 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 : 3475
Unique Edges : 3362
Edges With Duplicates : 3077
Total Edges : 6439
Number of Edge Types : 3
Mentions : 2980
Tweet : 3420
Replies to : 39
Self-Loops : 3420
Reciprocated Vertex Pair Ratio : 0.0359739762724837
Reciprocated Edge Ratio : 0.069449575175471
Connected Components : 1404
Single-Vertex Connected Components : 866
Maximum Vertices in a Connected Component : 759
Maximum Edges in a Connected Component : 1490
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.867028
Graph Density : 0.00022423511967628
Modularity : 0.488843
NodeXL Version : 1.0.1.409
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[895] link,bio [565] click,link [422] retail,job [365] shift,supervisor [288] see,latest [280] check,out [260] bio,apply [247] cvs,health [215] supervisor,store [209] want,work Top Word Pairs in Tweet in G1:
[850] link,bio [534] click,link [395] retail,job [341] shift,supervisor [270] see,latest [248] bio,apply [236] cvs,health [210] check,out [196] supervisor,store [185] barista,store Top Word Pairs in Tweet in G2:
[53] ai,artificialintelligence [51] shopping,experience [51] experience,easier [50] system,uses [50] uses,deeplearning [50] deeplearning,make [50] make,shopping [33] easier,video [33] video,ai [33] artificialintelligence,foodtech Top Word Pairs in Tweet in G3:
[9] forbes,retail [8] physical,retail [8] stores,see [8] see,future [8] future,without [8] without,help [8] help,ll [8] ll,already [8] already,data [8] brick,mortar Top Word Pairs in Tweet in G4:
[12] retaildive,retail [7] 10,top [7] top,retail [7] retail,executives [6] executives,state [6] state,industry [6] unifiedretailing,conference [5] insight,commentary [5] conference,4 [5] 4,april Top Word Pairs in Tweet in G5:
[24] irigrowthsummit,retail [18] retail,cpg [16] pgrocer,jimdudlicek [14] iriworldwide,irigrowthsummit [12] retail,grocery [11] cpg,omnichannel [11] bdsanalytics,iriworldwide [8] facebook's,post [7] post,irigrowthsummit [7] omnichannel,iriworldwide Top Word Pairs in Tweet in G6:
[8] ironically,s [8] s,best [8] best,refrain [8] refrain,torrenting [8] torrenting,using [8] using,tor [8] tor,torrent [8] torrent,traffic [8] traffic,anonymous [7] uscybermag,ironically Top Word Pairs in Tweet in G7:
[14] retailwire,retail [10] neiman,marcus [8] marcus,s [7] brick,mortar [6] future,retail [5] four,years [5] years,ago [5] ago,wrote [5] wrote,piece [5] piece,entitled Top Word Pairs in Tweet in G8:
[6] register,now [6] fashion,fashiontech [6] fashiontech,retailtechnology [6] retailtechnology,fashionbusiness [6] fashionbusiness,retail [5] l',experienceclient [5] retail,general [5] infor,retail [4] jeromemonange,par [4] par,plaubignat Top Word Pairs in Tweet in G9:
[13] 13,14 [13] 14,marzo [12] seminariumperu,retailperú [12] sector,retail [10] más,importante [8] retailperú,según [8] shopping,apps [6] encuentro,más [6] importante,sector [5] nos,vemos Top Word Pairs in Tweet in G10:
[32] analytics,prediction [32] prediction,2019 [32] 2019,beyond [32] beyond,ai [32] ai,transform [32] transform,industry [32] industry,both [32] both,b2b [32] b2b,b2c [32] b2c,sectors Top Replied-To in Entire Graph:
Top Replied-To in G4:
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Top Replied-To in G8:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: