The graph represents a network of 3,902 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, 17 November 2019 at 10:05 UTC.
The requested start date was Sunday, 17 November 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 12-day, 2-hour, 7-minute period from Monday, 04 November 2019 at 20:33 UTC to Saturday, 16 November 2019 at 22:41 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 : 3902
Unique Edges : 6267
Edges With Duplicates : 1823
Total Edges : 8090
Number of Edge Types : 3
Mentions : 7016
Replies to : 277
Tweet : 797
Self-Loops : 797
Reciprocated Vertex Pair Ratio : 0.0390424164524422
Reciprocated Edge Ratio : 0.0751507654244627
Connected Components : 291
Single-Vertex Connected Components : 144
Maximum Vertices in a Connected Component : 3164
Maximum Edges in a Connected Component : 7120
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.631939
Graph Density : 0.000424853935519169
Modularity : 0.673123
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,902 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, 17 November 2019 at 10:05 UTC.
The requested start date was Sunday, 17 November 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 12-day, 2-hour, 7-minute period from Monday, 04 November 2019 at 20:33 UTC to Saturday, 16 November 2019 at 22:41 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:
[254] harm,reduction [203] impact,vaping [200] largest,study [200] study,date [200] date,vascular [200] vascular,impact [200] vaping,versus [200] versus,tobacco [200] tobacco,smoking [200] smoking,finds Top Word Pairs in Tweet in G1:
[198] impact,vaping [195] largest,study [195] study,date [195] date,vascular [195] vascular,impact [195] vaping,versus [195] versus,tobacco [195] tobacco,smoking [195] smoking,finds [195] finds,significant Top Word Pairs in Tweet in G2:
[36] war,drugs [36] harm,reduction [29] treatment,#harmreduction [28] many,more [27] overdose,kills [27] kills,many [27] more,#veterans [27] #veterans,combat [27] combat,honor [27] honor,invest Top Word Pairs in Tweet in G3:
[59] harm,reduction [34] live,calgary [34] calgary,property [34] property,available [34] available,use [34] use,rent [34] rent,harm [34] reduction,focused [34] focused,community [34] community,hub Top Word Pairs in Tweet in G4:
[86] launched,year [86] profiling,last [86] last,#bignightout [86] #bignightout,#clubs [86] #clubs,#pubs [86] #pubs,#bars [78] global,drug [78] drug,survey [78] survey,2020 [78] 2020,launched Top Word Pairs in Tweet in G5:
[49] pack,cigarettes [44] cigarettes,underage [38] saves,lives [36] nightshiftmd,purchased [36] purchased,pack [36] underage,personal [36] personal,exploration [36] exploration,love [35] picardonhealth,nightshiftmd [35] love,#harmreductio Top Word Pairs in Tweet in G6:
[16] harm,reduction [6] results,#harmreduction [6] mobile,unit [6] unit,now [5] free,narcan [5] new,lab [5] lab,report [5] lab,test [5] test,results [5] #harmreduction,#steroids Top Word Pairs in Tweet in G7:
[16] vitamin,e [16] e,acetat [16] acetat,kein [16] kein,bestandteil [16] bestandteil,kommerzieller [16] kommerzieller,liquids [16] liquids,deutsche [16] deutsche,ärzteblatt [16] ärzteblatt,hat [16] hat,ursache Top Word Pairs in Tweet in G8:
[15] #warondrugs,#waronpeople [15] #waronpeople,thank [15] thank,dana [15] dana,keep [15] keep,locking [15] locking,people [15] people,up [15] up,using [15] using,drugs [15] drugs,repeating Top Word Pairs in Tweet in G9:
[78] judge,orders [78] orders,vape [78] vape,ban [78] ban,lifted [78] lifted,medical [78] medical,marijuana [78] marijuana,users [78] users,proud [78] proud,expert [78] expert,witness Top Word Pairs in Tweet in G10:
[8] student,pharmacists [8] outstanding,presentation [8] presentation,hillpharmd [8] hillpharmd,brief [8] brief,education [8] education,utexaspharmacy [8] utexaspharmacy,students [8] students,leads [8] leads,#progressive [7] thesudpharmd,outstanding 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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Top Tweeters in G10: