The graph represents a network of 4,898 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 Friday, 03 April 2020 at 15:47 UTC.
The requested start date was Friday, 03 April 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 8-hour, 56-minute period from Thursday, 02 April 2020 at 15:04 UTC to Friday, 03 April 2020 at 00:00 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 : 4898
Unique Edges : 4778
Edges With Duplicates : 1787
Total Edges : 6565
Number of Edge Types : 4
Tweet : 2702
Mentions : 1071
Replies to : 643
MentionsInRetweet : 2149
Self-Loops : 2702
Reciprocated Vertex Pair Ratio : 0.0192528735632184
Reciprocated Edge Ratio : 0.0377784042853115
Connected Components : 1951
Single-Vertex Connected Components : 1137
Maximum Vertices in a Connected Component : 1286
Maximum Edges in a Connected Component : 2390
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.330743
Graph Density : 0.000147880974451821
Modularity : 0.641722
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 4,898 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 Friday, 03 April 2020 at 15:47 UTC.
The requested start date was Friday, 03 April 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 8-hour, 56-minute period from Thursday, 02 April 2020 at 15:04 UTC to Friday, 03 April 2020 at 00:00 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:
[178] medical,cannabis [176] covid,19 [157] cannabis,store [134] ontario,cannabis [130] store,product [130] product,restocked [123] 2020,04 [123] 04,02 [107] cannabis,essential [107] cannabis,industry Top Word Pairs in Tweet in G1:
[133] cannabis,store [130] ontario,cannabis [130] store,product [130] product,restocked [123] 2020,04 [123] 04,02 [62] covid,19 [51] 02,22 [27] medical,cannabis [26] 5g,2020 Top Word Pairs in Tweet in G2:
[71] medical,cannabis [51] cannabis,essential [36] federal,government [33] essential,amid [29] canada's,federal [29] government,classified [29] classified,medical [29] amid,#covid19 [29] #covid19,pandemic [29] pandemic,latest Top Word Pairs in Tweet in G3:
[16] cannabisbezogene,btm [16] btm,delikte [10] #cannabis,legalisieren [9] #cannabis,#legalizeit [9] cannabis,schädlicher [9] schädlicher,alkohol [9] alkohol,die [9] die,allgemeinheit [9] allgemeinheit,davon [9] davon,friedliche Top Word Pairs in Tweet in G4:
[23] american,workers [21] cannabis,industry [14] use,cannabis [14] drug,enforcement [14] enforcement,administration [14] administration,announced [14] announced,moving [14] moving,forward [14] forward,evaluating [14] evaluating,applications Top Word Pairs in Tweet in G5:
[61] federal,government [61] cannabis,wrong [60] government,current [60] current,position [60] position,cannabis [59] mattgaetz,federal [4] thefigen,delivering [4] delivering,cannabis [4] cannabis,grnf [3] fredlgibsonjr,mattgaetz Top Word Pairs in Tweet in G6:
[43] #cannabis,#weed [43] #weed,#cbd [28] #cbd,#thc [28] #thc,#marijuana [21] #cannabis,#420 [20] #420,#marijuana [17] covid,19 [14] cannabis,legalization [11] cannabis,estrés [11] estrés,postraumático Top Word Pairs in Tweet in G7:
[14] another,one [9] smoking,cannabis [9] cannabis,habit [9] habit,lifestyle [9] lifestyle,#cannabiscommunity [9] #cannabiscommunity,#stonerfam [9] #stonerfam,#marijuana [9] #marijuana,#mmemberville [8] silv3rbackp,smoking [7] #stonerfam,#mmemberville Top Word Pairs in Tweet in G8:
[20] #cannabis,food [18] #medicareforall,#cannabis [11] #jimcrow,#cannabis [11] #joebiden,#trump [8] vs,#joebiden [7] #forthepeople,vs [6] 1915,#jimcrow [6] #jimcrow,1915 [6] 1915,#elpaso [6] food,prohibition Top Word Pairs in Tweet in G9:
[16] cannabis,industry [13] medical,cannabis [13] town,hall [12] medical,#cannabis [11] global,cannabis [11] cannabis,town [8] important,announcement [8] announcement,deeming [8] deeming,medical [8] #cannabis,federal Top Word Pairs in Tweet in G10:
[11] covid,19 [11] adult,use [10] weedmd,employees [10] employees,self [10] self,isolating [10] isolating,due [10] due,covid [10] 19,disrupting [10] disrupting,efforts [10] efforts,unionize Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: