The graph represents a network of 7,690 Twitter users whose tweets in the requested range contained "wholefoods", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 26 August 2022 at 17:50 UTC.
The requested start date was Friday, 26 August 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 11-day, 1-hour, 21-minute period from Sunday, 14 August 2022 at 22:38 UTC to Thursday, 25 August 2022 at 23:59 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 : 7690
Unique Edges : 6752
Edges With Duplicates : 12360
Total Edges : 19112
Number of Edge Types : 5
Tweet : 506
Replies to : 2638
Mentions : 6391
Retweet : 3865
MentionsInRetweet : 5712
Self-Loops : 556
Reciprocated Vertex Pair Ratio : 0.0216975111678366
Reciprocated Edge Ratio : 0.042473454091193
Connected Components : 498
Single-Vertex Connected Components : 277
Maximum Vertices in a Connected Component : 6751
Maximum Edges in a Connected Component : 17947
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.068625
Graph Density : 0.000189536637294999
Modularity : 0.445882
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,690 Twitter users whose tweets in the requested range contained "wholefoods", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 26 August 2022 at 17:50 UTC.
The requested start date was Friday, 26 August 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 11-day, 1-hour, 21-minute period from Sunday, 14 August 2022 at 22:38 UTC to Thursday, 25 August 2022 at 23:59 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 : wholefoods
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:
[2714] whole,foods [1992] thanks,ceo [1985] foods,thanks [1979] over,pay [1979] longer,overpay [1978] known,over [1978] pay,things [1978] things,longer [1978] overpay,whole [1978] ceo,utterly Top Word Pairs in Tweet in G1:
[2013] whole,foods [1912] over,pay [1911] known,over [1911] pay,things [1911] things,longer [1911] longer,overpay [1911] overpay,whole [1911] foods,thanks [1911] thanks,ceo [1911] ceo,utterly Top Word Pairs in Tweet in G2:
[388] whole,foods [106] wholefoods,ceo [85] wholefoods,again [81] shopping,wholefoods [76] john,mackey [70] never,shopping [63] stevesilberman,wholefoods [62] one,penny [61] again,one [61] penny,guy Top Word Pairs in Tweet in G3:
[68] whole,foods [48] 1mfriend,chuckcjmmn [42] wholefoods,amazon [41] chuckcjmmn,wholefoods [27] chuckcjmmn,davemadison1948 [26] susanclendaniel,chuckcjmmn [23] b_redux,1mfriend [22] wholefoods,mackey [21] mackey,whining [21] whining,incessantly Top Word Pairs in Tweet in G4:
[311] many,people [311] people,different [311] different,walks [311] walks,life [311] life,turned [311] turned,kansas [311] kansas,city [311] city,#savesoilwalkathon [311] #savesoilwalkathon,june [311] june,thank Top Word Pairs in Tweet in G5:
[25] whole,foods [8] diet,more [8] more,#wholefoods [5] shopping,#wholefoods [5] gt,gt [4] foods,ceo [4] wholefoods,hot [4] hot,bar [4] john,mackey [4] going,wholefoods Top Word Pairs in Tweet in G6:
[51] whole,foods [50] portarican_rt,wholefoods [43] wholefoods,wholefoodspr [23] schryguy,portarican_rt [21] shannonrwatts,wholefoods [16] wholefoods,starbucks [16] starbucks,tesla [15] wholefoodspr,wholefoods [13] ceo,wholefoods [13] companies,wholefoods Top Word Pairs in Tweet in G7:
[43] wholefoods,wfp [29] whole,foods [28] foodnetwork,wholefoods [27] twitterfood,foodandwine [27] wfp,queen_manpreet [26] द,ध [24] queen_manpreet,falfanzo8611 [20] ह,ज [18] shopping,publix [17] already,stopped Top Word Pairs in Tweet in G8:
[22] candycanex12,susyrip [19] wholefoods,candycanex12 [14] candycanex12,wholefoods [10] susyrip,wholefoods [8] susyrip,candycanex12 [8] wholemarsblog,wholefoods [8] wholefoods,hudnewengland [8] timothyscott22,elonmusk [8] yogapetz,keung [7] wholefoods,susyrip Top Word Pairs in Tweet in G9:
[36] organic,health [29] health,food [29] food,stors [25] licorice,root [24] wholefoods,organic [21] above,rda [16] preventatives,infection [16] infection,wholefoods [16] stors,herbs [16] herbs,supplements Top Word Pairs in Tweet in G10:
[26] sentedcruz,thedemocrats [26] thedemocrats,caradelevingne [26] caradelevingne,dior [26] dior,boulder [26] boulder,circlekstores [26] circlekstores,bouldercolorado [26] bouldercolorado,joebiden [26] joebiden,mohela [26] mohela,boulderpolice [26] boulderpolice,usgbc Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: