The graph represents a network of 1,560 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, 08 July 2022 at 20:37 UTC.
The requested start date was Friday, 08 July 2022 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, 22-hour, 30-minute period from Friday, 24 June 2022 at 01:09 UTC to Thursday, 07 July 2022 at 23:40 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 : 1560
Unique Edges : 1031
Edges With Duplicates : 625
Total Edges : 1656
Number of Edge Types : 5
Tweet : 308
Replies to : 492
Mentions : 257
Retweet : 280
MentionsInRetweet : 319
Self-Loops : 313
Reciprocated Vertex Pair Ratio : 0.00871248789932236
Reciprocated Edge Ratio : 0.017274472168906
Connected Components : 600
Single-Vertex Connected Components : 236
Maximum Vertices in a Connected Component : 175
Maximum Edges in a Connected Component : 303
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.493646
Graph Density : 0.000428446900544399
Modularity : 0.696435
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,560 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, 08 July 2022 at 20:37 UTC.
The requested start date was Friday, 08 July 2022 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, 22-hour, 30-minute period from Friday, 24 June 2022 at 01:09 UTC to Thursday, 07 July 2022 at 23:40 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:
[322] fat,coke [296] full,fat [220] diet,coke [81] bag,doritos [80] worked,treat [79] sorted,bastard [79] bastard,hangover [79] hangover,big [79] big,bag [79] doritos,shit Top Word Pairs in Tweet in G1:
[74] diet,coke [53] fat,coke [45] full,fat [15] coke,zero [13] wonder,fat [13] fat,drug [13] drug,dealers [13] dealers,sell [13] sell,diet [12] calories,fat Top Word Pairs in Tweet in G2:
[118] fat,coke [115] full,fat [79] bag,doritos [79] worked,treat [78] sorted,bastard [78] bastard,hangover [78] hangover,big [78] big,bag [78] doritos,shit [78] shit,loads Top Word Pairs in Tweet in G3:
[66] lisalvsa,many [66] many,calories [60] calories,fat [53] diet,coke [47] fat,diet [31] coke,coke [30] fat,fat [23] coke,diet [21] apple,apple [20] apple,coke Top Word Pairs in Tweet in G4:
[50] forty,fat [50] fat,deeply [50] deeply,unfit [50] unfit,health [50] health,kick [50] kick,main [50] main,motivation [50] motivation,improve [50] improve,heart [50] heart,health Top Word Pairs in Tweet in G5:
[25] people,love [25] love,demonize [25] demonize,everything [25] everything,diabetes [25] diabetes,enjoy [25] enjoy,drinking [25] drinking,diet [25] diet,drinks [25] drinks,without [25] without,someone Top Word Pairs in Tweet in G6:
[8] hi,cocacola [8] cocacola,cocacolaco [8] cocacolaco,cocacola_gb [8] cocacola_gb,spent [8] spent,200 [8] 200,sourcing [8] sourcing,360 [8] 360,cans [8] cans,intergalactic [8] intergalactic,zero Top Word Pairs in Tweet in G7:
[12] infrequent,advisory [12] advisory,soft [12] soft,drink [12] drink,branded [12] branded,coke [12] coke,zero [12] zero,sugar [12] sugar,free [12] free,sweetener [12] sweetener,called Top Word Pairs in Tweet in G9:
[4] diet,coke [3] uncleotium,dpinsen [2] johnnyb45577678,uncleotium [2] dpinsen,diet [2] obesity,america Top Word Pairs in Tweet in G10:
[3] dorsetmason,dorsetprovcomms [3] dorsetprovcomms,dorsetmasonbike [3] dorsetmasonbike,bikerswessex [3] bikerswessex,dunckerley3878 [3] coke,zero [3] breakfast,champions [3] champions,four [3] four,slices [3] slices,maple [3] maple,cured 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 G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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: