The graph represents a network of 3,413 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 Wednesday, 20 February 2019 at 08:30 UTC.
The requested start date was Wednesday, 20 February 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, 7-hour, 7-minute period from Monday, 18 February 2019 at 17:53 UTC to Wednesday, 20 February 2019 at 01:01 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 : 3413
Unique Edges : 3695
Edges With Duplicates : 2928
Total Edges : 6623
Number of Edge Types : 3
Tweet : 3346
Mentions : 3241
Replies to : 36
Self-Loops : 3346
Reciprocated Vertex Pair Ratio : 0.024084460574068
Reciprocated Edge Ratio : 0.0470360824742268
Connected Components : 1255
Single-Vertex Connected Components : 798
Maximum Vertices in a Connected Component : 773
Maximum Edges in a Connected Component : 1458
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.243003
Graph Density : 0.000266548597545623
Modularity : 0.516728
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1026] link,bio [661] click,link [474] retail,job [375] shift,supervisor [326] retail,network [325] proud,total [325] total,becomes [325] becomes,1st [325] 1st,energy [325] energy,major Top Word Pairs in Tweet in G1:
[994] link,bio [635] click,link [463] retail,job [359] shift,supervisor [305] see,latest [291] bio,apply [266] check,out [249] great,fit [248] cvs,health [239] barista,store Top Word Pairs in Tweet in G2:
[325] proud,total [325] total,becomes [325] becomes,1st [325] 1st,energy [325] energy,major [325] major,enter [325] enter,saudiarabia [325] saudiarabia,s [325] s,fuel [325] fuel,retail Top Word Pairs in Tweet in G3:
[45] retail,retailtech [42] shelf,climbing [42] climbing,robot [42] robot,makes [42] makes,retail [42] retail,warehouse [42] warehouse,60 [42] 60,more [42] more,efficient [42] efficient,innovation Top Word Pairs in Tweet in G4:
[8] march,14 [8] 14,join [8] join,aptos [8] aptos,rtouchpoints [8] rtouchpoints,webinar [8] webinar,3 [8] 3,mega [8] mega,trends [8] trends,driving [8] driving,present Top Word Pairs in Tweet in G5:
[30] cb,insights [30] insights,here [30] here,top [30] top,100 [30] 100,ai [30] ai,companies [30] companies,world [30] world,algorithms [30] algorithms,cfo [30] cfo,chr Top Word Pairs in Tweet in G6:
[72] ecommerce,retail [43] e,commerce [43] commerce,store [26] improve,woocommerce [26] woocommerce,store [26] store,woocommerce [26] woocommerce,ecommerce [26] retail,retailmarketing [22] balance,retail [22] retail,e Top Word Pairs in Tweet in G7:
[12] forbes,oracle [11] retail,forbes [11] oracle,netsuite [6] brick,mortar [5] theretaildoctor,retail [5] markdowns,returns [5] returns,billion [5] billion,dollar [5] dollar,pain [5] pain,points Top Word Pairs in Tweet in G8:
[7] scan,go [6] retail,industry [5] go,innovation [5] innovation,vital [5] vital,progress [5] progress,retail [5] retail,omnitalk [5] walmart,brushed [5] brushed,retail [5] retail,sector's Top Word Pairs in Tweet in G9:
[7] retail,retailtech [6] retail,iot [6] retailtech,retailit [6] retailit,retailai [6] retailai,retailiot [6] retailiot,retailml [6] retailml,aneeshnair [4] u,s [4] checkout,process [4] process,create Top Word Pairs in Tweet in G10:
[28] gt,gt [13] link,bio [11] click,link [9] pwc,mikequindazzi [8] see,latest [8] bio,apply [8] retail,4 [8] 4,0 [8] cómo,afectará [7] cvs,health Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G8:
Top Replied-To in G9:
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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: