The graph represents a network of 3,510 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, 23 February 2020 at 13:37 UTC.
The requested start date was Sunday, 23 February 2020 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 13-day, 23-hour, 44-minute period from Sunday, 09 February 2020 at 01:10 UTC to Sunday, 23 February 2020 at 00:55 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 : 3510
Unique Edges : 5925
Edges With Duplicates : 2241
Total Edges : 8166
Number of Edge Types : 4
MentionsInRetweet : 4862
Mentions : 2050
Replies to : 344
Tweet : 910
Self-Loops : 910
Reciprocated Vertex Pair Ratio : 0.0338440814952012
Reciprocated Edge Ratio : 0.0654723127035831
Connected Components : 324
Single-Vertex Connected Components : 167
Maximum Vertices in a Connected Component : 2730
Maximum Edges in a Connected Component : 7229
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 5.172027
Graph Density : 0.000498514605097677
Modularity : 0.618226
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 3,510 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, 23 February 2020 at 13:37 UTC.
The requested start date was Sunday, 23 February 2020 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 13-day, 23-hour, 44-minute period from Sunday, 09 February 2020 at 01:10 UTC to Sunday, 23 February 2020 at 00:55 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[300] harm,reduction [141] roses,red [114] people,use [113] red,violets [113] violets,blue [113] save,lives [100] #insitesaveslives,#harmreduction [99] insitevan,#insitesaveslives [96] use,drugs [83] public,health Top Word Pairs in Tweet in G1:
[83] harm,reduction [83] #insitesaveslives,#harmreduction [82] insitevan,#insitesaveslives [60] anti,vaping [51] regwatch,live [47] great,see [43] #vaping,#ecigs [42] live,published [42] read,important [42] important,critique Top Word Pairs in Tweet in G2:
[80] harm,reduction [66] save,lives [53] anecdotes,data [53] data,science [53] science,moud [53] moud,harm [53] reduction,save [53] lives,belief [53] belief,feel [52] drsarahwakeman,anecdotes Top Word Pairs in Tweet in G3:
[25] m_bonnxx,#harmreduction [25] #harmreduction,saved [25] saved,life [25] life,#safesupply [25] #safesupply,prevented [25] prevented,being [25] being,#incarcerated [25] #incarcerated,criminal [25] criminal,record [25] record,contrac Top Word Pairs in Tweet in G4:
[43] roses,red [42] red,violets [42] violets,blue [31] blue,abstinence [31] abstinence,works [31] works,okay [31] okay,#valentinesday2020 [30] garrettreuscher,roses [30] #valentinesday2020,#harmred [17] #drugchecking,#harmreduction Top Word Pairs in Tweet in G5:
[31] people,use [30] use,drugs [24] roses,red [24] red,violets [24] violets,blue [22] blue,demand [21] #harmreduction,#supportdontpunish [20] demand,decriminalisation [20] decriminalisation,#harmreduction [19] sdpcampaign,roses Top Word Pairs in Tweet in G6:
[20] #menschenweedu,#antipro [19] die,#spd [19] #spd,bewegt [19] bewegt,zwar [19] zwar,die [19] die,richtige [19] richtige,richtung [19] richtung,hoffentlich [19] hoffentlich,koalitionspartner [19] koalitionspartner,mitnehmen Top Word Pairs in Tweet in G7:
[24] #publichealth,#opioid [24] #opioid,#opioids [23] harm,reduction [15] #addiction,#pwid [15] #pwid,#pwud [15] #pwud,#idu [15] #idu,#sud [15] #harmreduction,#nsp [15] #nsp,#sep [15] #sep,#nep Top Word Pairs in Tweet in G8:
[34] harm,reduction [17] maps,harm [17] reduction,department [17] department,#hiring [17] #hiring,director [17] director,harm [17] reduction,direct [17] direct,day [17] day,day [17] day,operations Top Word Pairs in Tweet in G9:
[28] language,around [28] around,#addiction [28] #addiction,matters [28] matters,'addict' [28] 'addict',label [28] label,lowers [28] lowers,self [28] self,esteem [28] esteem,adds [28] adds,social Top Word Pairs in Tweet in G10:
[68] canadian,beer [68] beer,sales [68] sales,continue [68] continue,slide [68] slide,face [68] face,rising [68] rising,cannabis [68] cannabis,sector [68] sector,#harmreduction [68] #harmreduction,industry 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: