The graph represents a network of 1,812 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, 14 October 2022 at 20:37 UTC.
The requested start date was Friday, 14 October 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, 45-minute period from Friday, 30 September 2022 at 01:15 UTC to Friday, 14 October 2022 at 00:01 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 : 1812
Unique Edges : 1189
Edges With Duplicates : 846
Total Edges : 2035
Number of Edge Types : 5
Replies to : 493
Retweet : 381
MentionsInRetweet : 435
Tweet : 326
Mentions : 400
Self-Loops : 334
Reciprocated Vertex Pair Ratio : 0.015600624024961
Reciprocated Edge Ratio : 0.0307219662058372
Connected Components : 625
Single-Vertex Connected Components : 230
Maximum Vertices in a Connected Component : 133
Maximum Edges in a Connected Component : 265
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 1.860088
Graph Density : 0.000396765900804868
Modularity : 0.691521
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 1,812 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, 14 October 2022 at 20:37 UTC.
The requested start date was Friday, 14 October 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, 45-minute period from Friday, 30 September 2022 at 01:15 UTC to Friday, 14 October 2022 at 00:01 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 : 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:
[237] diet,coke [209] fat,coke [165] full,fat [133] bruins,747 [133] ground,clearance [133] charge,battling [133] soar,victory [133] gut,ground [133] thereof,bearplane [133] lack,thereof Top Word Pairs in Tweet in G1:
[95] diet,coke [47] fat,coke [41] full,fat [23] wonder,fat [23] drug,dealers [23] dealers,sell [23] fat,drug [23] sell,diet [18] coke,zero [14] apple,apple Top Word Pairs in Tweet in G2:
[133] clearance,lack [133] lack,thereof [133] charge,battling [133] bruins,747 [133] battling,bruins [133] 747,gut [133] thereof,bearplane [133] ground,clearance [133] large,charge [133] soar,victory Top Word Pairs in Tweet in G3:
[2] soft,drinks Top Word Pairs in Tweet in G4:
[51] calories,fat [44] strawbbyangels,calories [26] fat,free [23] diet,diet [22] diet,coke [21] coke,coke [17] free,diet [17] fat,fat [16] fat,diet [15] apple,coke Top Word Pairs in Tweet in G5:
[40] alcoholism,become [40] 12pk,coke [40] coke,alcoholism [40] cheaper,diabetes [40] become,cheaper [40] paid,12pk [39] smoothcriminoel,paid Top Word Pairs in Tweet in G6:
[27] instant,ramen [27] week,coke [27] 10th,instant [27] down,10th [27] unhealthy,tweet [27] organs,arteries [27] coke,organs [27] ramen,week [27] fat,people [27] people,unhealthy Top Word Pairs in Tweet in G7:
[2] fat,cunt [2] bitch,coke [2] cunt,bitch [2] away,snorting [2] coke,away [2] lose,weight [2] snorting,again [2] youâ,re [2] someone,take [2] donâ,eat Top Word Pairs in Tweet in G8:
[5] coke,head [3] donaldjtrumpjr,fat [3] fat,ass [2] twice,impeached [2] lisping,coke [2] traitor,father [2] florida,retiree [2] make,bicycle [2] father,bike [2] coke,fat Top Word Pairs in Tweet in G9:
[2] fat,coke [2] andychurchill1,studiobifrost_ [2] samarandagriff,chrishillidge [2] jamess_uhy,heatherstanfor1 [2] heatherstanfor1,sasha_talk [2] full,fat [2] fridaymusicfun,woodyman1969 [2] grimesygrimes,zigguratten [2] chrishillidge,stewartattwood [2] sasha_talk,subutcher Top Word Pairs in Tweet in G10:
[5] killuazivert,coke [5] make,fat [3] coke,doesn [3] doesn,make [2] coke,look [2] mfs,coke [2] candelmann625,killuazivert [2] killuazivert,well [2] funny,eating [2] doing,coke 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 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 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: