The graph represents a network of 4,055 Twitter users whose recent tweets contained "#OpioidPrevention OR #OpioidCrisis", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Thursday, 08 August 2019 at 00:06 UTC.
The tweets in the network were tweeted over the 9-day, 3-hour, 30-minute period from Monday, 29 July 2019 at 20:23 UTC to Wednesday, 07 August 2019 at 23:53 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 : 4055
Unique Edges : 5573
Edges With Duplicates : 2549
Total Edges : 8122
Number of Edge Types : 4
Replies to : 352
Mentions : 3470
Retweet : 3402
Tweet : 898
Self-Loops : 972
Reciprocated Vertex Pair Ratio : 0.0297651066881836
Reciprocated Edge Ratio : 0.0578095072261884
Connected Components : 630
Single-Vertex Connected Components : 280
Maximum Vertices in a Connected Component : 2379
Maximum Edges in a Connected Component : 5827
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.773967
Graph Density : 0.000349352787917978
Modularity : 0.669331
NodeXL Version : 1.0.1.418
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1379] #opioidcrisis,#opioid [243] 1,give [243] give,perspective [243] perspective,#opioidcrisis [243] #opioidcrisis,company [243] company,worked [243] worked,imported [243] imported,#thebane [243] #thebane,#cpst [243] #cpst,concentrated Top Word Pairs in Tweet in G1:
[1088] #opioidcrisis,#opioid [124] witnessing,epidemic [124] epidemic,ignorance [124] ignorance,prejudice [124] prejudice,punishing [124] punishing,inflicting [124] inflicting,pain [124] pain,innocent [124] innocent,patients [124] patients,simply Top Word Pairs in Tweet in G2:
[250] #opioidcrisis,#opioid [37] #opioidcrisis,#opioidepidemic [36] pain,patients [35] pain,meds [35] #opioids,#opioidcrisis [31] #opioidcrisis,#opioidhysteria [31] addicted,people [26] ok,sue [26] #chronicpain,#opioidcrisis [26] u,s Top Word Pairs in Tweet in G3:
[32] #opioidcrisis,#opioidepidemic [25] #opioidcrisis,#addiction [19] #opioidepidemic,#opioidcrisis [16] opioid,crisis [16] #addiction,#azhealth [16] #azhealth,#phx [14] #opioidcrisis,#opioids [11] #opioids,#opioidcrisis [10] victims,#opioidcrisis [10] #opioidcrisis,counties Top Word Pairs in Tweet in G4:
[238] 1,give [238] give,perspective [238] perspective,#opioidcrisis [238] #opioidcrisis,company [238] company,worked [238] worked,imported [238] imported,#thebane [238] #thebane,#cpst [238] #cpst,concentrated [238] concentrated,poppy Top Word Pairs in Tweet in G5:
[108] potus,#opioidcrisis [67] guilty,#drugtrafficking [59] months,prison [46] #drugtrafficking,#firearms [44] sentenced,meth [38] #justice,mexican [35] #justice,man [35] man,pleads [35] pleads,guilty [35] guilty,running Top Word Pairs in Tweet in G6:
[18] honor,those [18] those,we've [18] we've,lost [18] lost,#addiction [18] #addiction,#opioidcrisis [18] #opioidcrisis,asking [18] asking,realdonaldtrump [18] realdonaldtrump,please [18] please,order [18] order,flags Top Word Pairs in Tweet in G7:
[26] opioid,use [21] facebook,live [20] #treatment,#opioidcrisis [18] #opioidepidemic,#opioidjustice [18] jasndoc,drptw [18] #opioidcrisis,facebook [17] #recovery,#treatment [17] usc,experts [16] #opioids,#opioidcrisis [15] #opioidcrisis,#opioidusedisorder Top Word Pairs in Tweet in G8:
[7] #buildthewall,#bordersecurity [7] #bordersecurity,#elchapoact [7] #elchapoact,#secureourborders [7] #secureourborders,#opioidcrisis [7] #opioidcrisis,#fixit [6] #liberalismisamentaldisorder,#thesepeoplearesick [6] #thesepeoplearesick,#socialismkills [6] #socialismkills,#democratsaredangerous [6] #democratssoldusaout,#mentalhealthreformnow [6] #mentalhealthreformnow,#mentalhospitalsnow Top Word Pairs in Tweet in G9:
[31] very,important [25] root,causes [23] #suicideprevention,decrease [23] decrease,#opioidcrisis [23] #opioidcrisis,addressing [23] addressing,root [23] causes,very [23] important,same [23] same,time [23] time,providing Top Word Pairs in Tweet in G10:
[35] president,trump [35] trump,announced [35] announced,plans [35] plans,impose [35] impose,new [35] new,#tariffs [35] #tariffs,300 [35] 300,billion [35] billion,worth [35] worth,#chinese Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: