The graph represents a network of 14,824 Twitter users whose recent tweets contained "naloxone", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 05 July 2019 at 19:40 UTC.
The tweets in the network were tweeted over the 9-day, 20-hour, 4-minute period from Tuesday, 25 June 2019 at 22:57 UTC to Friday, 05 July 2019 at 19:01 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 : 14824
Unique Edges : 27974
Edges With Duplicates : 846
Total Edges : 28820
Self-Loops : 571
Reciprocated Vertex Pair Ratio : 0.00305931471350418
Reciprocated Edge Ratio : 0.00609996770605332
Connected Components : 432
Single-Vertex Connected Components : 241
Maximum Vertices in a Connected Component : 13823
Maximum Edges in a Connected Component : 27482
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 2.72053
Graph Density : 0.000126829380356128
Modularity : 0.24993
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[11995] doses,naloxone [11985] 13k,doses [11979] clintonfdn,many [11979] naloxone,fight [11978] many,things [11978] provided,13k [11977] things,provided [11977] fight,ods [11977] ods,helped [11977] helped,deliver Top Word Pairs in Tweet in G1:
[11959] doses,naloxone [11953] 13k,doses [11949] clintonfdn,many [11948] many,things [11948] provided,13k [11947] things,provided [11947] naloxone,fight [11947] fight,ods [11947] ods,helped [11947] helped,deliver Top Word Pairs in Tweet in G2:
[288] 000,naloxone [287] 13,000 [287] naloxone,bulk [287] bulk,price [287] price,286 [287] 286,000 [287] 000,100 [287] 100,000 [287] 000,000 [287] 000,go Top Word Pairs in Tweet in G3:
[48] naloxone,access [47] before,advocate [47] advocate,against [47] against,naloxone [47] access,expansion [47] expansion,saying [47] saying,sends [47] sends,wrong [47] wrong,message [47] message,play Top Word Pairs in Tweet in G4:
[56] 46th,birthday [56] birthday,today [56] today,alive [56] alive,someone [56] someone,thoughtful [56] thoughtful,enough [56] enough,learn [56] learn,give [56] give,naloxone [56] naloxone,carried Top Word Pairs in Tweet in G5:
[31] opioid,overdose [24] shoutout,stephen [24] stephen,dcpolicedept [24] dcpolicedept,met [24] met,today [24] today,pewtrust [24] pewtrust,s [24] s,#pewtalksopioids [24] #pewtalksopioids,stephen [24] stephen,shared Top Word Pairs in Tweet in G6:
[239] fentanyl,deaths [239] deaths,down [239] down,ab [239] ab,alberta's [239] alberta's,health [239] health,department [239] department,released [239] released,#s [239] #s,quietly [239] quietly,press Top Word Pairs in Tweet in G7:
[41] opioid,overdose [19] nasal,spray [18] naloxone,nasal [15] fda,accepts [12] naloxone,training [11] insys,therapeutics [11] pharmacy,technicians [10] save,life [10] prescribe,naloxone [9] assisted,treatment Top Word Pairs in Tweet in G8:
[29] naloxone,france [29] vous,propose [29] propose,ce [29] ce,clip [29] clip,naloxone [26] pour,une [26] une,diffusion [26] diffusion,large [26] large,naloxone [26] france,ceip Top Word Pairs in Tweet in G9:
[46] naloxone,kit [43] kit,training [32] training,continues [30] downtownptbo,ptbochamber [28] venture,north [28] north,270 [27] 270,george [27] n,downtownptbo [26] 5,venture [26] george,street Top Word Pairs in Tweet in G10:
[27] opioid,overdose [19] july,10 [19] free,opioid [19] info,session [16] overdose,awareness [11] wed,july [11] 10,hosting [11] hosting,free [11] overdose,info [11] session,include Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: