The graph represents a network of 4,472 Twitter users whose tweets in the requested range contained "cannabis", 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 14:05 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 10-hour, 3-minute period from Saturday, 30 November 2019 at 03:09 UTC to Saturday, 30 November 2019 at 13:13 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 : 4472
Unique Edges : 4364
Edges With Duplicates : 1919
Total Edges : 6283
Number of Edge Types : 3
Mentions : 3396
Tweet : 2511
Replies to : 376
Self-Loops : 2511
Reciprocated Vertex Pair Ratio : 0.0068886337543054
Reciprocated Edge Ratio : 0.0136830102622577
Connected Components : 1368
Single-Vertex Connected Components : 776
Maximum Vertices in a Connected Component : 868
Maximum Edges in a Connected Component : 1766
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 3.953209
Graph Density : 0.000175449897950977
Modularity : 0.620067
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,472 Twitter users whose tweets in the requested range contained "cannabis", 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 14:05 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 10-hour, 3-minute period from Saturday, 30 November 2019 at 03:09 UTC to Saturday, 30 November 2019 at 13:13 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 : cannabis
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:
[868] alcool,anti [868] anti,depresseurs [868] depresseurs,cannabis [868] cannabis,domaine [868] domaine,où [868] où,número [868] número,fuir [868] fuir,réalité [867] petitdoudou33,alcool [147] medical,cannabis Top Word Pairs in Tweet in G1:
[868] alcool,anti [868] anti,depresseurs [868] depresseurs,cannabis [868] cannabis,domaine [868] domaine,où [868] où,número [868] número,fuir [868] fuir,réalité [867] petitdoudou33,alcool Top Word Pairs in Tweet in G2:
[70] #musicnews360,#cannabis [67] #cannabis,#california [57] #cannabis,#cbd [53] #california,#business [48] #business,#news [45] #news,#stocks [42] cannabis,stores [38] #stocks,#money [37] medical,cannabis [36] #money,#trump Top Word Pairs in Tweet in G3:
[100] #cannabis,#marijuana [92] #marijuana,#cannabis [89] #cannabis,#news [89] #news,co [83] #news,#cannabis [83] #marijuana,co [43] medical,cannabis [24] medical,#cannabis [23] previously,research [23] research,claimed Top Word Pairs in Tweet in G4:
[17] study,cbd [17] cbd,rich [17] rich,cannabis [17] cannabis,treat [17] treat,multiple [17] multiple,symptoms [17] symptoms,autism [17] autism,#mme [17] #mme,#cannabis [17] #cannabis,#marijuana Top Word Pairs in Tweet in G5:
[22] medical,cannabis [9] medicinale,cannabis [7] years,frustration [7] frustration,kentucky [7] kentucky,advocates [7] advocates,medical [7] cannabis,finally [7] finally,best [7] best,chance [7] karenmurraygray,murray Top Word Pairs in Tweet in G6:
[51] mcmaster,university [51] university,declara [51] declara,sabemos [51] sabemos,adolescentes [51] adolescentes,comienzan [51] comienzan,usar [51] usar,cannabis [51] cannabis,presentará [50] fachistoteles,mcmaster [50] presentará,trastorno Top Word Pairs in Tweet in G7:
[39] don,believe [39] believe,ve [39] ve,read [39] read,charges [39] charges,against [39] against,man [39] man,killed [39] killed,jewish [39] jewish,kindergarten [39] kindergarten,teacher Top Word Pairs in Tweet in G8:
[12] svd,hanifbali [7] cm_gustavsson,svd [4] gunkal,hanifbali [4] grundin,cm_gustavsson [4] legalisera,cannabis [4] kommer,alltid [3] till,dig [3] effekterna,av [3] av,legalisering [3] legalisering,av Top Word Pairs in Tweet in G9:
[40] purple,express [40] express,auto [40] auto,#cannabis [40] #cannabis,seeds [40] seeds,#growyourown [40] #growyourown,#marijuana [40] #marijuana,#cannabiscommunity [40] #cannabiscommunity,#weedseeds [40] #weedseeds,#cannabisseeds [39] weedpalace11,purple Top Word Pairs in Tweet in G10:
[26] french,prosecutor [26] prosecutor,dropped [26] dropped,charges [26] charges,against [26] against,killer [26] killer,jewish [26] jewish,kindergarten [26] kindergarten,teacher [26] teacher,sarah [26] sarah,halimi 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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: