The graph represents a network of 3,333 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 Saturday, 19 January 2019 at 20:01 UTC.
The requested start date was Saturday, 19 January 2019 at 01:01 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, 5-hour, 49-minute period from Thursday, 17 January 2019 at 19:11 UTC to Saturday, 19 January 2019 at 01:00 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 : 3333
Unique Edges : 3532
Edges With Duplicates : 3283
Total Edges : 6815
Number of Edge Types : 3
Mentions : 3240
Tweet : 3536
Replies to : 39
Self-Loops : 3536
Reciprocated Vertex Pair Ratio : 0.0301990391214825
Reciprocated Edge Ratio : 0.0586275816122585
Connected Components : 1260
Single-Vertex Connected Components : 824
Maximum Vertices in a Connected Component : 1036
Maximum Edges in a Connected Component : 2110
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.752418
Graph Density : 0.000270315146760775
Modularity : 0.489143
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1129] link,bio [896] retail,retail [710] click,link [503] retail,job [475] retail,sales [463] sales,associate [369] bio,apply [356] see,latest [344] wireless,retail [342] check,out Top Word Pairs in Tweet in G1:
[1110] link,bio [877] retail,retail [699] click,link [487] retail,job [448] sales,associate [433] retail,sales [363] bio,apply [341] wireless,retail [338] see,latest [270] field,team Top Word Pairs in Tweet in G2:
[56] gt,gt [24] store,retail [24] risk,cyberattack [24] cyberattack,cybersecurity [24] cybersecurity,smb [24] smb,enterprise [23] enterprise,cybercrime [23] cybercrime,malware [23] malware,manufacturing [22] manufacturing,retail Top Word Pairs in Tweet in G3:
[19] retail,influencers [13] top,retail [7] influencers,2019 [7] top,100 [7] check,out [6] honored,part [6] part,vend's [6] vend's,top [6] 2019,roundup [6] roundup,w Top Word Pairs in Tweet in G4:
[6] walgreens,microsoft [5] ranking,mundial [5] mundial,retail [5] retail,2019 [5] 2019,realizado [5] realizado,deloitte [5] deloitte,15 [5] 15,primeras [5] primeras,empresas [5] empresas,eeuu Top Word Pairs in Tweet in G5:
[12] top,3 [12] 3,manufacturing [12] manufacturing,healthcare [12] healthcare,retail [12] retail,s [12] s,finsev [12] finsev,s [12] s,ranking [12] ranking,dhinchcliffe [11] apguha,top Top Word Pairs in Tweet in G6:
[25] supply,chain [24] nrf2019,retail [21] retail,supplychain [15] watsonsupplychain,nrf2019 [15] ibmsupplychain,retaildive [14] supplychain,ibmsupplychain [12] retaildive,retail [10] supplychain,retail [9] evolution,continues [9] continues,rila's Top Word Pairs in Tweet in G7:
[21] ecommerce,retail [21] retail,analytics [21] analytics,marketing [20] marketing,automation [10] social,media [9] automation,inboundmarketing [9] inboundmarketing,ai [9] ai,ml [9] ml,personalization [9] personalization,ecommercebusiness Top Word Pairs in Tweet in G8:
[20] mcommerce,retail [19] digitalmarketing,ecommerce [19] ecommerce,mcommerce [10] retail,contentmarketing [10] contentmarketing,ottmarketing [10] ottmarketing,mobilemarketing [10] retail,amazonadvertising [10] amazonadvertising,directmarketing [8] mobilemarketing,roku [7] coye,nokes Top Word Pairs in Tweet in G9:
[6] joanne,podell [6] podell,stevesouts [6] stevesouts,co [6] co,authored [6] authored,op [6] op,ed [6] ed,crainsnewyork [6] crainsnewyork,week [6] week,important [5] new,york Top Word Pairs in Tweet in G10:
[9] brick,mortar [9] retail,cre [8] here's,more [6] transforming,vacant [6] vacant,malls [6] malls,retail [6] retail,warehouse [6] warehouse,hybrids [6] hybrids,retail [6] retail,retailtech Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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