The graph represents a network of 3,823 Twitter users whose tweets in the requested range contained "harmreduction", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 13 October 2019 at 07:38 UTC.
The requested start date was Sunday, 13 October 2019 at 00:01 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 11-day, 16-hour, 39-minute period from Monday, 30 September 2019 at 04:59 UTC to Friday, 11 October 2019 at 21:39 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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[347] harm,reduction [150] u,s [128] #msabloodmoney,#vape [127] #adultslikeflavors,#msabloodmoney [126] #vape,#vapes [126] #harmreduction,#science [125] #vapes,#vapefam [125] #vapefam,#vaper [124] #vaper,#ivapeandivote [124] #ivapeandivote,#ivoteandivape Top Word Pairs in Tweet in G1:
[128] #msabloodmoney,#vape [127] #adultslikeflavors,#msabloodmoney [126] #vape,#vapes [125] #vapes,#vapefam [125] #vapefam,#vaper [124] #vaper,#ivapeandivote [124] #ivapeandivote,#ivoteandivape [123] #harmreduction,#science [122] #ivoteandivape,#harmreduction [104] #science,#technology Top Word Pairs in Tweet in G2:
[65] self,medication [64] call,buprenorphine [64] buprenorphine,diversion [64] diversion,really [64] really,self [64] medication,response [64] response,policy [64] policy,failure [64] failure,act [63] myharmreduction,call Top Word Pairs in Tweet in G3:
[88] ðÿ,ðÿ [52] harm,reduction [37] drug,policy [35] #safesupply,#harmreduction [31] consumption,sites [29] supervised,consumption [29] #cehrn,#harmreduction [28] drug,use [27] gt,increase [27] increase,drug Top Word Pairs in Tweet in G4:
[26] harm,reduction [11] injection,site [9] violate,federal [7] judge,rules [7] supervised,injection [6] please,share [5] opioid,overdose [5] #naloxone,#harmreduction [5] federal,drug [5] mental,health Top Word Pairs in Tweet in G5:
[102] millennials,prefer [102] prefer,cannabis [102] cannabis,booze [102] booze,u [102] u,s [102] s,counties [102] counties,marijuana [102] marijuana,legalized [102] legalized,purchases [102] purchases,wine Top Word Pairs in Tweet in G6:
[13] wowza,good [13] good,friend [13] friend,mine [13] mine,worked [13] worked,philly [13] philly,safe [13] safe,injection [13] injection,site [13] site,called [13] called,56 Top Word Pairs in Tweet in G7:
[50] #opioids,crisis [50] election,issue [30] crisis,bigger [30] bigger,federal [30] federal,election [29] 12,800 [29] 800,canadians [29] canadians,died [29] died,overdoses [29] overdoses,2016 Top Word Pairs in Tweet in G8:
[80] provision,drug [80] drug,testing [80] testing,festivals [80] festivals,literally [80] literally,lifesaving [80] lifesaving,parent [80] parent,children [80] children,come [80] come,home [80] home,alive Top Word Pairs in Tweet in G9:
[25] supervised,injection [18] 'implementing,supervised [18] injection,services' [18] services',best [18] best,practice [18] practice,guideline [18] guideline,bpg [18] bpg,supports [18] supports,decision [18] decision,making Top Word Pairs in Tweet in G10:
[13] massachusetts,past [13] past,time [13] time,made [13] made,move [13] move,losing [13] losing,7 [13] 7,people [13] people,day [13] day,one [13] one,more Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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