The graph represents a network of 5,404 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 Saturday, 07 December 2019 at 03:52 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 6-day, 5-hour, 15-minute period from Saturday, 30 November 2019 at 03:48 UTC to Friday, 06 December 2019 at 09:03 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 : 5404
Unique Edges : 6787
Edges With Duplicates : 5272
Total Edges : 12059
Number of Edge Types : 3
Mentions : 9594
Replies to : 1814
Tweet : 651
Self-Loops : 651
Reciprocated Vertex Pair Ratio : 0.0458425110132159
Reciprocated Edge Ratio : 0.0876661840200079
Connected Components : 553
Single-Vertex Connected Components : 351
Maximum Vertices in a Connected Component : 4306
Maximum Edges in a Connected Component : 10908
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.381682
Graph Density : 0.000260190729360132
Modularity : 0.51455
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,404 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 Saturday, 07 December 2019 at 03:52 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 6-day, 5-hour, 15-minute period from Saturday, 30 November 2019 at 03:48 UTC to Friday, 06 December 2019 at 09:03 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:
[673] whole,foods [452] outraged,morning [452] morning,outraged [452] outraged,late [452] late,night [452] night,outraged [452] outraged,boots [452] boots,shoes [451] michaelmagausn,outraged [451] shoes,don' Top Word Pairs in Tweet in G1:
[116] whole,foods [59] dm,contact [47] store,location [38] contact,information [37] mind,sending [37] sending,dm [34] sorry,hear [28] contact,info [26] mitch,mcconnell [25] foods,market Top Word Pairs in Tweet in G2:
[446] outraged,morning [446] morning,outraged [446] outraged,late [446] late,night [446] night,outraged [446] outraged,boots [446] boots,shoes [445] michaelmagausn,outraged [445] shoes,don' [6] mcconnell,'honored' Top Word Pairs in Tweet in G3:
[91] whole,foods [65] man,year [46] mitch,mcconnell [46] wholefoods,magazine [44] wholefoods,magazine's [43] wholefoodspr,wholefoods [41] named,wholefoods [41] twitter,users [39] mcconnell,named [39] magazine's,man Top Word Pairs in Tweet in G4:
[76] whole,foods [49] mitch,mcconnell [43] foods,market [36] wholefoods,magazine [23] market,lose [23] lose,minds [23] minds,wholefoods [23] magazine,lauds [23] lauds,mitch [23] mcconnell,end Top Word Pairs in Tweet in G5:
[234] breitbartnews,triggered [30] wholefoods,magazine [30] mitch,mcconnell [22] leftists,outraged [22] magazine,named [18] whole,foods [18] foods,market [17] leftist,fans [17] fans,whole [17] market,lose Top Word Pairs in Tweet in G6:
[13] tomhanks,nascaronfox [13] nascaronfox,nascar [13] nascar,nascaronnbc [13] nascaronnbc,nascar_xfinity [13] nascar_xfinity,joegibbsracing [13] joegibbsracing,greglaurie [13] greglaurie,corechurchla [13] corechurchla,calvarysb [11] wholefoods,jeffbezos [9] asavagenation,vp Top Word Pairs in Tweet in G7:
[10] motorious_dl,askamex [10] askamex,mm_motorious [10] mm_motorious,mastercard [10] mastercard,mastercardnews [10] mastercardnews,mastercardbiz [10] mastercardbiz,mastercardeu [10] mastercardeu,visanewseurope [10] visanewseurope,visa [6] cnbc,jfb [6] jfb,islares Top Word Pairs in Tweet in G8:
[41] amazon,wholefoods [24] wholefoods,jeffbezos [18] wholefoods,amazon [15] whole,foods [12] critiquing,amazon [12] jeffbezos,pressuring [12] pressuring,customers [12] customers,donate [12] donate,needy [12] needy,families Top Word Pairs in Tweet in G9:
[140] respawn,wholefoods [139] sliccmic,respawn Top Word Pairs in Tweet in G10:
[132] person,year [124] whole,foods [124] foods,market [123] market,chain [123] chain,responds [123] responds,twitter [123] twitter,users [123] users,clarifying [123] clarifying,name [123] name,mcconnell Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G7:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: