The graph represents a network of 3,941 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 Tuesday, 05 November 2019 at 07:39 UTC.
The requested start date was Sunday, 03 November 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 13-day, 16-hour, 18-minute period from Sunday, 20 October 2019 at 07:22 UTC to Saturday, 02 November 2019 at 23:41 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 : 3941
Unique Edges : 6749
Edges With Duplicates : 2972
Total Edges : 9721
Number of Edge Types : 3
Mentions : 8450
Replies to : 326
Tweet : 945
Self-Loops : 945
Reciprocated Vertex Pair Ratio : 0.04732868757259
Reciprocated Edge Ratio : 0.0903798170224563
Connected Components : 313
Single-Vertex Connected Components : 152
Maximum Vertices in a Connected Component : 3210
Maximum Edges in a Connected Component : 8849
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.596783
Graph Density : 0.000464593876428591
Modularity : 0.620991
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,941 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 Tuesday, 05 November 2019 at 07:39 UTC.
The requested start date was Sunday, 03 November 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 13-day, 16-hour, 18-minute period from Sunday, 20 October 2019 at 07:22 UTC to Saturday, 02 November 2019 at 23:41 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 : harmreduction
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[258] harm,reduction [164] #harmreduction,#science [163] #adultslikeflavors,#msabloodmoney [162] #abillionlives,#adultslikeflavors [162] #msabloodmoney,#vape [162] #vape,#vapes [162] #vapes,#vapefam [160] #vapefam,#vaper [160] #vaper,#harmreduction [158] #science,#technology Top Word Pairs in Tweet in G1:
[163] #adultslikeflavors,#msabloodmoney [162] #abillionlives,#adultslikeflavors [162] #msabloodmoney,#vape [162] #vape,#vapes [162] #vapes,#vapefam [161] #harmreduction,#science [160] #vapefam,#vaper [160] #vaper,#harmreduction [158] #science,#technology [156] #technology,#vapeban Top Word Pairs in Tweet in G2:
[64] harm,reduction [28] ed,hospital [28] people,use [27] stimulant,use [27] use,here [27] here,grows [27] grows,re [27] re,seeing [27] seeing,more [27] more,overamping Top Word Pairs in Tweet in G3:
[45] drug,checking [35] drug,policy [33] full,time [33] public,health [30] seeking,recruit [30] recruit,full [30] time,deputy [30] deputy,director [30] director,public [29] hri,hiring Top Word Pairs in Tweet in G4:
[77] keithbrownph,myharmreduction [57] drkimsue,drchinazo [49] housingworks,keithbrownph [49] tiffanylumd,harmreduction [48] myharmreduction,tiffanylumd [44] harmreduction,bethanymedley [40] nyharmreduction,mike_selick [39] leobeletsky,filtermag_org [39] lannan_fabian,nyharmreduction [38] bethanymedley,leobeletsky Top Word Pairs in Tweet in G5:
[115] cbd,thc [115] thc,common [115] common,drug [115] drug,test [115] test,t [115] t,tell [115] tell,difference [115] difference,easy [115] easy,stop [115] stop,testing Top Word Pairs in Tweet in G6:
[22] harm,reduction [8] #harmreduction,#oklahomadancesafe [5] mobile,unit [5] unit,now [4] #harmreduction,#publichealth [4] syringe,exchange [4] #harmreduction,#harmreductionsaveslives [4] work,#harmreduction [4] evergreen,mobile [4] come,visit Top Word Pairs in Tweet in G7:
[102] miriamkrinsky,1 [101] 1,criminalizing [101] criminalizing,ppl [101] ppl,use [101] use,drugs [101] drugs,doesn [101] doesn,t [101] t,fail [101] fail,make [101] make,safer Top Word Pairs in Tweet in G8:
[50] lil,pinger [49] ambitious,crossover [49] crossover,introducing [49] introducing,new [49] new,mascot [49] mascot,lil [49] pinger,drug [48] drug,safety [48] safety,lamb [48] lamb,look Top Word Pairs in Tweet in G9:
[13] strafrechtsrelevanz,hat [13] hat,reinheitsgehalt [13] reinheitsgehalt,begleitsubstanzen [13] begleitsubstanzen,fallen [13] fallen,üblichen [13] üblichen,analysen [13] analysen,immer [13] immer,unter [11] #cannabis,#hanf [10] sehr,guter Top Word Pairs in Tweet in G10:
[9] kit,nail [9] nail,head [9] head,giazillarawrr [9] giazillarawrr,need [9] need,decriminalize [9] decriminalize,drugs [9] drugs,america [9] america,provide [9] provide,#harmreduction [8] dawsoninga,kit Top Replied-To in Entire Graph:
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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: