The graph represents a network of 4,526 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, 12 February 2020 at 11:28 UTC.
The requested start date was Wednesday, 12 February 2020 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 16-hour, 11-minute period from Tuesday, 11 February 2020 at 08:49 UTC to Wednesday, 12 February 2020 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 : 4526
Unique Edges : 4569
Edges With Duplicates : 1611
Total Edges : 6180
Number of Edge Types : 4
Tweet : 3038
MentionsInRetweet : 1833
Mentions : 1070
Replies to : 239
Self-Loops : 3038
Reciprocated Vertex Pair Ratio : 0.0279745042492918
Reciprocated Edge Ratio : 0.0544264553909749
Connected Components : 2246
Single-Vertex Connected Components : 1596
Maximum Vertices in a Connected Component : 649
Maximum Edges in a Connected Component : 1393
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.890403
Graph Density : 0.000141747008688901
Modularity : 0.608914
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 4,526 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, 12 February 2020 at 11:28 UTC.
The requested start date was Wednesday, 12 February 2020 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 16-hour, 11-minute period from Tuesday, 11 February 2020 at 08:49 UTC to Wednesday, 12 February 2020 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".
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[124] gt,gt [73] ecommerce,website [65] ve,found [65] found,solutions [65] solutions,work [65] work,well [65] well,cut [65] cut,hidden [65] hidden,costs [65] costs,ecommerce Top Word Pairs in Tweet in G1:
[48] ecommerce,website [46] check,gig [44] gig,fiverr [37] ecommerce,business [32] ecommerce,store [29] website,check [24] ecommerce,expert [22] make,money [20] social,media [19] free,download Top Word Pairs in Tweet in G2:
[65] ve,found [65] found,solutions [65] solutions,work [65] work,well [65] well,cut [65] cut,hidden [65] hidden,costs [65] costs,ecommerce [8] agenda,speakers [8] speakers,sessions Top Word Pairs in Tweet in G3:
[50] guide,réseaux [50] réseaux,sociaux [49] ecom_nationfr,#socialmedia [28] #socialmedia,guide [28] sociaux,2020 [28] 2020,voici [28] voici,fiches [28] fiches,pratiques [28] pratiques,#réseauxsociaux [28] #réseauxsociaux,suivants Top Word Pairs in Tweet in G4:
[20] #ecommerce,industry [20] website,full [18] #artificialintelligence,revolutionizing [18] #growthhacking,#startup [18] #startup,#seo [17] fabriziobustama,#artificialintelligence [17] revolutionizing,#ecommerce [17] industry,2020 [17] 2020,geeksforgeeks [16] #socialmedia,#digitalmarketing Top Word Pairs in Tweet in G5:
[9] principales,tendencias [9] amazon,#amazon [8] serán,principales [8] kibo,code [7] 2020,ecommerce_es [5] estas,serán [5] tendencias,#ecommerce [5] #amazon,#amazonprime [5] #amazonprime,#amazondeals [4] sumoheavy,#ecommerce Top Word Pairs in Tweet in G6:
[30] #ecommerce,#prestashop [30] #prestashop,#seo [30] #seo,#php [30] #php,#webdev [28] #webdev,#symfony [25] #symfony,#vuejs [24] #vuejs,#css [18] #css,#javascript [13] #javascript,#git [11] #sale,#domain Top Word Pairs in Tweet in G7:
[16] 2º,meetup [13] tiempos,ecommerce [11] negocios,transformación [11] transformación,digital [11] digital,tiempos [11] meetup,webescuela [11] empresa,#logística [11] #logística,#transporte [11] #transporte,tienda [11] tienda,line Top Word Pairs in Tweet in G8:
[23] preparation,key [23] key,#ecommerce [23] #ecommerce,merchants [23] merchants,reap [23] reap,rewards [23] rewards,#ai [23] #ai,#retail [23] #retail,#chatbots [23] #chatbots,#nlp [22] technative,preparation Top Word Pairs in Tweet in G9:
[101] gt,gt [23] mikequindazzi,gt [19] spectacles,capture [19] capture,world [19] world,#ar [19] #ar,#3d [19] #3d,gt [19] gt,snapchat [19] snapchat,mikequindazzi [18] mikequindazzi,spectacles Top Word Pairs in Tweet in G10:
[32] hey,professional [32] professional,web [32] web,developer [32] developer,good [31] good,idea [31] idea,php [30] php,mysql [29] mysql,java [29] java,css [27] css,made 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 G5:
Top Replied-To in G10:
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: