The graph represents a network of 2,675 Twitter users whose tweets in the requested range contained "coke (fat OR obese OR obesity OR "soda tax" OR diabetes) ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 23 October 2020 at 21:08 UTC.
The requested start date was Friday, 23 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 44-minute period from Friday, 09 October 2020 at 00:05 UTC to Thursday, 22 October 2020 at 23:50 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 : 2675
Unique Edges : 1164
Edges With Duplicates : 2526
Total Edges : 3690
Number of Edge Types : 5
Tweet : 356
Retweet : 1240
MentionsInRetweet : 1271
Replies to : 481
Mentions : 342
Self-Loops : 361
Reciprocated Vertex Pair Ratio : 0.0067600193143409
Reciprocated Edge Ratio : 0.0134292565947242
Connected Components : 678
Single-Vertex Connected Components : 251
Maximum Vertices in a Connected Component : 876
Maximum Edges in a Connected Component : 1751
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.075759
Graph Density : 0.000291488127276159
Modularity : 0.5471
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,675 Twitter users whose tweets in the requested range contained "coke (fat OR obese OR obesity OR %22soda tax%22 OR diabetes) ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 23 October 2020 at 21:08 UTC.
The requested start date was Friday, 23 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 44-minute period from Friday, 09 October 2020 at 00:05 UTC to Thursday, 22 October 2020 at 23:50 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 : coke (fat OR obese OR obesity OR %22soda tax%22 OR diabetes)
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:
[1048] diet,coke [869] morbidly,obese [864] diet,consists [862] man,whose [862] whose,diet [861] obese,elderly [861] elderly,man [861] consists,mcdonalds [861] mcdonalds,aderrall [861] aderrall,diet Top Word Pairs in Tweet in G1:
[860] morbidly,obese [860] obese,elderly [860] elderly,man [860] man,whose [860] whose,diet [860] diet,consists [860] consists,mcdonalds [860] mcdonalds,aderrall [860] aderrall,diet [860] diet,coke Top Word Pairs in Tweet in G2:
[69] diet,coke [56] fat,coke [49] full,fat [24] wonder,fat [23] fat,drug [23] drug,dealers [23] dealers,sell [23] sell,diet [13] coke,zero [11] coke,head Top Word Pairs in Tweet in G3:
[150] #markusrashford,suggest [150] suggest,sit [150] sit,down [150] down,watch [150] watch,programme [150] programme,entitled [150] entitled,benefits [150] benefits,britain [150] britain,open [150] open,eyes Top Word Pairs in Tweet in G4:
[15] diet,coke [5] year,old [3] 74,year [2] caslernoel,realdonaldtrump [2] fries,coke [2] drinking,diet [2] coke,fat [2] fat,ass [2] lives,diet [2] guy,lives Top Word Pairs in Tweet in G5:
[62] drinking,coke [62] coke,day [62] day,same [62] same,impact [62] impact,skin [62] skin,smoking [62] smoking,soda [62] soda,inflammatory [62] inflammatory,effect [62] effect,body Top Word Pairs in Tweet in G6:
[7] diet,coke [6] obese,74 [6] 74,year [6] year,old [5] old,man [5] big,mac's [5] mac's,diet [5] coke,beat [4] man,lives [4] lives,diet Top Word Pairs in Tweet in G7:
[3] fat,rails [3] fat,line [3] line,coke [3] big,fat [2] davidfrum,minor [2] minor,tia [2] tia,next [2] next,20 [2] 20,hrs [2] hrs,starting Top Word Pairs in Tweet in G8:
[3] pagesplumbers,worcesterbosch [3] worcesterbosch,iloveplumbingme [3] iloveplumbingme,dpawsongas [3] dpawsongas,harrisonheating [3] warmyourhome,krissale13 [3] krissale13,drpipelondon [3] drpipelondon,falconheatingdw [3] falconheatingdw,damon_bph [3] damon_bph,drboilers [3] full,fat Top Word Pairs in Tweet in G9:
[15] good,points [15] points,add [15] add,mention [15] mention,coke [15] coke,head [15] head,kinda [15] kinda,stupid [15] stupid,mention [14] mention,fat [12] king_of_shade,good Top Word Pairs in Tweet in G10:
[15] remember,spotting [15] spotting,mars [15] mars,bar [15] bar,billboard [15] billboard,mountain [15] mountain,ohakune [15] ohakune,go [15] go,rural [15] rural,town [15] town,nz Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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: