The graph represents a network of 180 Twitter users whose recent tweets contained "podcast UK food", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Thursday, 21 November 2019 at 13:25 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 52-minute period from Tuesday, 12 November 2019 at 13:08 UTC to Thursday, 21 November 2019 at 13:01 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 : 180
Unique Edges : 257
Edges With Duplicates : 49
Total Edges : 306
Number of Edge Types : 4
Tweet : 12
Mentions : 161
Retweet : 131
Replies to : 2
Self-Loops : 15
Reciprocated Vertex Pair Ratio : 0,0190114068441065
Reciprocated Edge Ratio : 0,0373134328358209
Connected Components : 24
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 67
Maximum Edges in a Connected Component : 120
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1,859553
Graph Density : 0,00831781502172564
Modularity : 0,731716
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 180 Twitter users whose recent tweets contained "podcast UK food", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Thursday, 21 November 2019 at 13:25 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 52-minute period from Tuesday, 12 November 2019 at 13:08 UTC to Thursday, 21 November 2019 at 13:01 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : podcast UK food
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:
[77] latest,podcast [77] tragic,story [77] shahida,shahid [77] #casefilespod,#allergies [66] food,allergy [53] podcast,episode [53] food,fatal [53] story,shahida [42] ten,people [42] people,die Top Word Pairs in Tweet in G1:
[77] latest,podcast [77] tragic,story [77] shahida,shahid [77] #casefilespod,#allergies [66] food,allergy [53] podcast,episode [53] food,fatal [53] story,shahida [42] ten,people [42] people,die Top Word Pairs in Tweet in G2:
[23] first,#thecreativejuicepodcast [23] #thecreativejuicepodcast,live [23] night,drinks [23] drinks,food [23] food,games [23] games,networking [23] networking,panel [23] panel,discussions [23] discussions,film [23] film,tv Top Word Pairs in Tweet in G3:
[8] change,world [8] podcast,food [8] food,insecurity [7] amazing,honour [7] honour,work [7] work,bbcsounds [7] bbcsounds,newest [7] newest,podcast [7] podcast,series [7] series,change Top Word Pairs in Tweet in G4:
[6] hear,podcast [6] podcast,cheap [6] cheap,food [6] food,toys [6] toys,gadgets [6] gadgets,bargain [6] bargain,finds [6] finds,hear [6] hear,#podcast [6] #podcast,two Top Word Pairs in Tweet in G5:
[6] visionaries,billgates [6] billgates,believe [6] believe,precision [6] precision,probiotics [6] probiotics,solve [6] solve,world [6] world,malnutrition [6] malnutrition,1suneerjain [6] future,food [6] food,rise Top Word Pairs in Tweet in G6:
[4] jamie,crummie [2] podcast,wasting [2] wasting,doggy [2] doggy,bags [2] bags,food [2] food,jamie [2] crummie,toogoodtogo_uk [2] toogoodtogo_uk,tells [2] tells,christydh [2] christydh,make Top Word Pairs in Tweet in G7:
[2] round,november's [2] november's,edition [2] edition,manchester [2] manchester,wire [2] wire,podcast [2] podcast,features [2] features,movie [2] movie,news [2] news,everymancinema [2] everymancinema,home_mcr Top Word Pairs in Tweet in G8:
[3] podcast,fitzbillies [3] fitzbillies,first [3] first,100 [3] 100,years [3] years,eat [3] eat,mercado [3] mercado,central [3] central,rosiebluebell [3] rosiebluebell,reports [3] reports,christmas Top Word Pairs in Tweet in G9:
[3] futerra,wrap_uk [3] wrap_uk,interested [3] interested,podcast [3] podcast,links [3] links,between [3] between,food [3] food,waste [3] waste,energy [3] energy,laura_sandys [3] laura_sandys,put Top Word Pairs in Tweet in G10:
[2] bbcfoodprog,sheiladillon [2] sheiladillon,great [2] great,episode [2] episode,#foodpoverty [2] #foodpoverty,amp [2] amp,importance [2] importance,#schoolmeals [2] #schoolmeals,#uk [2] #uk,next [2] next,time Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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: