The graph represents a network of 4,685 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, 11 December 2019 at 11:28 UTC.
The requested start date was Wednesday, 11 December 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 15-hour, 52-minute period from Tuesday, 10 December 2019 at 09:08 UTC to Wednesday, 11 December 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 : 4685
Unique Edges : 4563
Edges With Duplicates : 1677
Total Edges : 6240
Number of Edge Types : 3
Tweet : 3037
Mentions : 2973
Replies to : 230
Self-Loops : 3037
Reciprocated Vertex Pair Ratio : 0.0256499133448873
Reciprocated Edge Ratio : 0.0500168976005407
Connected Components : 2285
Single-Vertex Connected Components : 1564
Maximum Vertices in a Connected Component : 558
Maximum Edges in a Connected Component : 1115
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.459643
Graph Density : 0.000134839919178073
Modularity : 0.611894
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 4,685 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, 11 December 2019 at 11:28 UTC.
The requested start date was Wednesday, 11 December 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 15-hour, 52-minute period from Tuesday, 10 December 2019 at 09:08 UTC to Wednesday, 11 December 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".
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:
[132] check,gig [130] gig,fiverr [89] ecommerce,website [74] online,store [74] #socialmedia,#socialmediamarketing [72] ve,found [72] found,solutions [72] solutions,work [72] work,well [72] well,cut Top Word Pairs in Tweet in G1:
[127] check,gig [125] gig,fiverr [70] ecommerce,website [56] online,store [43] responsive,ecommerce [43] wordpress,ecommerce [42] ecommerce,business [41] fiverr,design [41] fiverr,develop [41] develop,design Top Word Pairs in Tweet in G2:
[72] #socialmedia,#socialmediamarketing [49] #socialmediamarketing,#digitalmarketing [47] #ecommerce,#prestashop [47] #prestashop,#seo [47] #seo,#php [47] #php,#webdev [44] #webdev,#symfony [35] 32,#ecommerce [35] #ecommerce,stats [35] stats,show Top Word Pairs in Tweet in G3:
[72] ve,found [72] found,solutions [72] solutions,work [72] work,well [72] well,cut [72] cut,hidden [72] hidden,costs [72] costs,ecommerce [9] #startup,lets [9] lets,automate Top Word Pairs in Tweet in G4:
[10] estudio,conversión [9] negocios,digitales [8] pierdas,nuestra [8] nuestra,nueva [8] nueva,herramienta [8] herramienta,comparar [8] comparar,rendimiento [8] rendimiento,#ecommerce [8] #ecommerce,media [8] media,española Top Word Pairs in Tweet in G5:
[31] european,commission [31] commission,working [31] working,break [31] break,down [31] down,online [31] online,barriers [31] barriers,prevent [31] prevent,people [31] people,enjoying [31] enjoying,full Top Word Pairs in Tweet in G6:
[44] genz,chinese [44] chinese,used [44] used,buying [44] buying,phones [44] phones,young [44] young,age [44] age,minds [44] minds,online [44] online,ecommerce [43] mbrennanchina,genz Top Word Pairs in Tweet in G7:
[36] 100,ecommerce [27] top,100 [23] uk's,top [21] judges,readers [21] one,uk's [19] ecommerce,trailblazers [12] well,done [12] done,team [12] readers,voted [12] voted,one Top Word Pairs in Tweet in G8:
[5] uk,ecommerce [5] ecommerce,market [4] amazon,dominates [4] dominates,uk [3] #ecommerce,uk [3] market,3rd [3] 3rd,largest [3] largest,world [3] world,dominated [3] dominated,amazon Top Word Pairs in Tweet in G9:
[8] use,whole [8] whole,vuestorefront [8] vuestorefront,infrastructure [8] infrastructure,need [8] need,agnostic [8] agnostic,api [8] api,headless [7] filrakowski,use [7] headless,ecommerce [6] industry,experts Top Word Pairs in Tweet in G10:
[17] wto,members [10] members,agree [10] agree,extend [10] extend,commerce [10] commerce,non [10] non,violation [10] violation,moratoriums [10] moratoriums,#ecommerce [10] #ecommerce,#intellectualproperty [9] wto,wto 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 G7:
Top Replied-To in G8:
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: