The graph represents a network of 4,777 Twitter users whose tweets in the requested range contained "ecommerce", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 06 November 2019 at 08:30 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 5-hour, 48-minute period from Monday, 04 November 2019 at 14:14 UTC to Tuesday, 05 November 2019 at 20:03 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 : 4777
Unique Edges : 4776
Edges With Duplicates : 1970
Total Edges : 6746
Number of Edge Types : 3
Mentions : 3677
Tweet : 2887
Replies to : 182
Self-Loops : 2887
Reciprocated Vertex Pair Ratio : 0.0393984962406015
Reciprocated Edge Ratio : 0.0758101851851852
Connected Components : 2095
Single-Vertex Connected Components : 1346
Maximum Vertices in a Connected Component : 654
Maximum Edges in a Connected Component : 1334
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 7.671547
Graph Density : 0.0001514796086356
Modularity : 0.619219
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,777 Twitter users whose tweets in the requested range contained "ecommerce", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 06 November 2019 at 08:30 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 5-hour, 48-minute period from Monday, 04 November 2019 at 14:14 UTC to Tuesday, 05 November 2019 at 20:03 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 : ecommerce
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[246] e,commerce [204] #sale,#tips [204] #tips,#deals [204] #ecommerce,#christmas [166] check,out [160] gt,gt [122] ecommerce,business [121] #fashion,#sale [121] #christmas,#maternity [119] #business,#shopsmall Top Word Pairs in Tweet in G1:
[94] e,commerce [90] #business,#ecommerce [84] #sale,#tips [84] #tips,#deals [84] #ecommerce,#christmas [83] #shopping,#shop [83] #shop,#sale [83] #deals,#business [74] check,out [71] ecommerce,business Top Word Pairs in Tweet in G2:
[99] gt,gt [20] mikequindazzi,gt [17] gt,#ai [15] sale,#brand [15] #brand,#tech [15] #tech,#technology [15] #technology,#innovation [15] #innovation,#bitcoin [15] #bitcoin,#bitcoins [15] #bitcoins,#salem Top Word Pairs in Tweet in G3:
[9] 2,shopify [8] e,commerce [7] shopify,launched [7] shopify,email [5] big,ecommerce [5] ecommerce,news [5] news,week [5] week,1 [5] 1,alipay [5] alipay,longer Top Word Pairs in Tweet in G4:
[9] tu,ecommerce [8] vender,más [8] curso,gratuito [6] cómo,vender [6] amigos,hoy [6] hoy,abrimos [6] abrimos,público [6] público,#comunidadecommerce [6] #comunidadecommerce,aquí [6] aquí,tenéis Top Word Pairs in Tweet in G5:
[11] holiday,season [9] dm,free [9] free,mock [9] mock,up [7] rush,#qeretail [6] check,out [6] ns8inc,viabill_hq [6] viabill_hq,refersion [6] up,risk [5] #ecommerce,#smallbiz Top Word Pairs in Tweet in G6:
[26] fetchy,delivers [26] service,solution [26] solution,#ecommerce [14] delivers,logistics [14] logistics,service [14] #ecommerce,#businesses [13] techcompanynews,fetchy [12] delivers,#logistics [12] #logistics,service [12] #ecommerce,businesses Top Word Pairs in Tweet in G7:
[45] listen,now [20] check,out [14] out,more [13] top,8 [13] 8,threats [13] threats,against [13] against,#ecommerce [13] #ecommerce,#infographic [13] #infographic,check [13] more,handy Top Word Pairs in Tweet in G8:
[7] #ai,help [6] andrejordao,showcasing [6] showcasing,startup [6] startup,barkyndogs [6] barkyndogs,sophisticated [6] sophisticated,#ai [6] help,server [6] server,pets [6] pets,better [6] better,merge Top Word Pairs in Tweet in G9:
[19] congreso,online [19] monetización,web [14] #ecommerce,monetización [14] sobre,#ecommerce [12] online,gratuito [10] online,sobre [10] sobre,ecommerce [9] gratuito,sobre [8] ecommerce,monetización [8] 19,20 Top Word Pairs in Tweet in G10:
[10] e,commerce [6] #retail,#ecommerce [5] ricarda,raemy [5] raemy,raemyricarda [4] 2019,ricarda [4] swisspost,#ecommerce [3] sind,gescheitert [3] qué,abandonamos [3] abandonamos,carrito [3] carrito,compra Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: