The graph represents a network of 3,769 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, 01 December 2019 at 13:11 UTC.
The requested start date was Sunday, 01 December 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 13-day, 23-hour, 55-minute period from Sunday, 17 November 2019 at 01:01 UTC to Sunday, 01 December 2019 at 00:56 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 : 3769
Unique Edges : 6339
Edges With Duplicates : 2096
Total Edges : 8435
Number of Edge Types : 3
Mentions : 7277
Replies to : 388
Tweet : 770
Self-Loops : 770
Reciprocated Vertex Pair Ratio : 0.0417252695733708
Reciprocated Edge Ratio : 0.0801080108010801
Connected Components : 300
Single-Vertex Connected Components : 142
Maximum Vertices in a Connected Component : 3017
Maximum Edges in a Connected Component : 7536
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.268954
Graph Density : 0.00046938399582244
Modularity : 0.641757
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,769 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, 01 December 2019 at 13:11 UTC.
The requested start date was Sunday, 01 December 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 13-day, 23-hour, 55-minute period from Sunday, 17 November 2019 at 01:01 UTC to Sunday, 01 December 2019 at 00:56 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:
[248] harm,reduction [152] regwatch,live [152] live,published [108] people,use [82] use,drugs [77] watch,closing [77] closing,keynote [77] keynote,ecigsummit [77] ecigsummit,london [77] london,extent Top Word Pairs in Tweet in G1:
[152] regwatch,live [152] live,published [73] published,#waronvaping [71] watch,closing [71] closing,keynote [71] keynote,ecigsummit [71] ecigsummit,london [71] london,extent [71] extent,govt [71] govt,media Top Word Pairs in Tweet in G2:
[36] harm,reduction [36] study,published [36] published,today [36] today,plosmedicine [36] plosmedicine,identifies [36] identifies,association [36] association,between [36] between,frequent [36] frequent,weekly [36] weekly,supervised Top Word Pairs in Tweet in G3:
[44] city,hall [43] decrimny,harmreduction [42] currently,outside [42] outside,york [42] york,city [42] hall,queerdep [42] queerdep,antiviolence [42] antiviolence,nonewjails_nyc [42] nonewjails_nyc,decrimny [41] redcanarysong,currently Top Word Pairs in Tweet in G4:
[21] war,drugs [17] people,substitute [17] substitute,binge [17] binge,drinking [17] drinking,cheap [17] cheap,beer [17] beer,consumption [17] consumption,both [17] both,typically [17] typically,go Top Word Pairs in Tweet in G5:
[22] harm,reduction [5] people,use [5] #harmreduction,#addiction [5] #harmreduction,#ecigs [4] use,drugs [4] save,lives [3] #harmreduction,#naloxone [3] #harmreduction,#drugpolicy [3] #harmreduction,#prevention [3] #recovery,#trauma Top Word Pairs in Tweet in G6:
[21] norway,lift [21] lift,ban [21] ban,cigarettes [21] cigarettes,nicotine [21] nicotine,replace [21] replace,authorization [21] authorization,system [21] system,helsedir [20] consumerchoicec,norway [15] #harmreduction,maßnahmen Top Word Pairs in Tweet in G7:
[13] pill,testing [13] drug,use [12] youth,issue [12] testing,condone [12] condone,drug [12] use,forrest [12] forrest,theadvocatetas [12] theadvocatetas,#harmminimisation [11] ruthforrestmlc,pill [11] #harmminimisation,#pil Top Word Pairs in Tweet in G8:
[29] #heatnotburn,#iqos [29] #iqos,#harmreduction [23] forbes,reports [23] reports,growing [23] growing,#donor [23] #donor,support [23] support,#psychedelic [23] #psychedelic,research [23] research,#harmreduction [23] #harmreduction,efforts Top Word Pairs in Tweet in G9:
[29] low,income [22] whose,corner [22] corner,anyway [22] anyway,ma [22] ma,#mutualaid [22] #mutualaid,#harmreduction [22] #harmreduction,activism [22] activism,group [22] group,low [22] income,#sexworkers Top Word Pairs in Tweet in G10:
[16] dual,challenge [16] challenge,preventing [16] preventing,teen [16] teen,#vaping [16] #vaping,encouraging [16] encouraging,adult [16] adult,#harmreduction [16] #harmreduction,both [15] picardonhealth,dual [15] both,picar 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: