The graph represents a network of 7,673 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, 20 November 2020 at 19:52 UTC.
The requested start date was Friday, 20 November 2020 at 01:01 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 12-day, 12-hour, 57-minute period from Saturday, 07 November 2020 at 09:40 UTC to Thursday, 19 November 2020 at 22:38 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 : 7673
Unique Edges : 9754
Edges With Duplicates : 10005
Total Edges : 19759
Number of Edge Types : 5
Replies to : 3400
Mentions : 8334
MentionsInRetweet : 4920
Retweet : 2318
Tweet : 787
Self-Loops : 826
Reciprocated Vertex Pair Ratio : 0.0410594960148136
Reciprocated Edge Ratio : 0.0788802103472276
Connected Components : 775
Single-Vertex Connected Components : 447
Maximum Vertices in a Connected Component : 6175
Maximum Edges in a Connected Component : 17869
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 2.941851
Graph Density : 0.000219663712539956
Modularity : 0.467609
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,673 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, 20 November 2020 at 19:52 UTC.
The requested start date was Friday, 20 November 2020 at 01:01 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 12-day, 12-hour, 57-minute period from Saturday, 07 November 2020 at 09:40 UTC to Thursday, 19 November 2020 at 22:38 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:
[470] whole,foods [323] fordnation,wholefoods [279] available,canada [270] bring,eastcoastchips [263] hard,work [263] sea,salt [262] months,hard [262] work,re [262] re,proud [262] proud,bring Top Word Pairs in Tweet in G1:
[159] whole,foods [109] wholefoods,poppies [107] go,wholefoods [103] good,see [102] see,folks [102] folks,sides [102] sides,go [102] poppies,wish [102] wish,same [102] same,response Top Word Pairs in Tweet in G2:
[315] fordnation,wholefoods [96] wear,poppies [87] wholefoods,wear [84] poppies,work [81] employees,wholefoods [80] work,rightfully [80] rightfully,never [80] never,taken [80] taken,threat [79] fordnation,employees Top Word Pairs in Tweet in G3:
[52] whole,foods [15] more,#wholefoods [10] diet,more [9] trader,joe [9] wholefoods,magazine [8] foods,market [7] #cosmicsweetsbytiffani,#holistic [7] #holistic,#healthylifestyle [7] #healthylifestyle,#wellness [7] #wellness,#sweet Top Word Pairs in Tweet in G4:
[168] wholefoods,amazon [141] wbrettwilson,wholefoods [54] john,mackey [43] freakonomics,wholefoods [42] wholefoods,restricted [42] restricted,staff [42] staff,canada [42] canada,showing [42] showing,basic [42] basic,respect Top Word Pairs in Tweet in G5:
[57] safeway,acmemarkets [51] 00am,monday [51] monday,opening [51] opening,purse [51] purse,safeway [50] elcavaqueen,00am [50] acmemarkets,gian [19] giantfood,wholefoods [16] wholefoods,tjoesofficial [15] walmart,target Top Word Pairs in Tweet in G6:
[278] available,canada [269] bring,eastcoastchips [261] months,hard [261] hard,work [261] work,re [261] re,proud [261] proud,bring [261] eastcoastchips,thick [261] thick,cut [261] cut,sea Top Word Pairs in Tweet in G7:
[18] michellerempel,wholefoods [16] whole,foods [14] decision,ban [14] ban,employees [13] cbcnews,kimberleymolina [12] veteranseng_ca,wholefoods [11] ourcommons,today [11] wholefoods,ridiculous [11] ridiculous,decision [11] employees,wearing Top Word Pairs in Tweet in G8:
[118] single,use [101] plastic,packaging [81] wholefoods,eliminate [73] use,plastic [63] calling,wholefoods [57] eliminate,single [51] envam,uspirg [47] urging,wholefoods [46] packaging,stores [40] stores,today Top Word Pairs in Tweet in G9:
[35] whole,foods [21] hazard,pay [21] redistrict,wholefoods [21] wholefoods,crackerbarrel [18] biden,won [18] foods,employees [18] employees,hazard [18] pay,paid [18] paid,covid [18] covid,family Top Word Pairs in Tweet in G10:
[77] wholefoods,coachscornerdc [46] maximebernier,wholefoods [38] hey,people [38] people,yes [38] yes,mean [38] mean,wholefoods [37] maximebernier,hey [32] wearing,poppy [23] committee,summons [20] poppy,shows Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G6:
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:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: