The graph represents a network of 1,280 Twitter users whose recent tweets contained "#opioidcrisis", 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, 27 March 2020 at 00:36 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 43-minute period from Thursday, 19 March 2020 at 02:17 UTC to Friday, 27 March 2020 at 00:00 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 : 1280
Unique Edges : 1507
Edges With Duplicates : 1212
Total Edges : 2719
Number of Edge Types : 5
Retweet : 958
Tweet : 395
MentionsInRetweet : 713
Replies to : 109
Mentions : 544
Self-Loops : 472
Reciprocated Vertex Pair Ratio : 0.0099009900990099
Reciprocated Edge Ratio : 0.0196078431372549
Connected Components : 237
Single-Vertex Connected Components : 115
Maximum Vertices in a Connected Component : 594
Maximum Edges in a Connected Component : 1662
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.27213
Graph Density : 0.00099687255668491
Modularity : 0.556078
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 1,280 Twitter users whose recent tweets contained "#opioidcrisis", 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, 27 March 2020 at 00:36 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 43-minute period from Thursday, 19 March 2020 at 02:17 UTC to Friday, 27 March 2020 at 00:00 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 : TwitterSearch
Graph Term : #opioidcrisis
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:
[662] #opioidcrisis,#opioid [122] pain,medicine [107] years,cdc [85] prescription,opioid [75] google,nih [75] nih,overdose [75] overdose,death [75] death,jan [75] jan,17 [75] 17,graph Top Word Pairs in Tweet in G1:
[511] #opioidcrisis,#opioid [96] pain,medicine [89] years,cdc [60] google,nih [60] nih,overdose [60] overdose,death [60] death,jan [60] jan,17 [60] 17,graph [60] graph,increase Top Word Pairs in Tweet in G2:
[116] #opioidcrisis,#opioid [31] #chronicpain,#cpp [24] pain,patients [21] pain,medicine [20] #pnn,columnist [20] columnist,lynnrwebstermd [20] lynnrwebstermd,looks [20] looks,woman's [20] woman's,misdirected [20] misdirected,anger Top Word Pairs in Tweet in G3:
[14] #opioids,#opioidcrisis [7] opioid,crisis [7] harm,mean [7] mean,#donoharm [7] #donoharm,#opioidcrisis [6] opioid,addiction [6] #opioidnews,#opioids [6] #opioidcrisis,source [5] #opioidcrisis,#opioidepidemic [4] #walmart,#opioidcrisis Top Word Pairs in Tweet in G4:
[5] synthetic,#opioids [5] dangerous,substances [3] well,done [3] done,cbp [3] cbp,seizure [3] seizure,4kg [3] 4kg,non [3] non,medical [3] medical,#tramadol [3] #tramadol,appreciate Top Word Pairs in Tweet in G5:
[2] golfergirl2018,chrisjohnsonmd [2] chrisjohnsonmd,takethatcdc [2] takethatcdc,krebiozen [2] krebiozen,mcfunny [2] mcfunny,ianfmusgrave [2] ianfmusgrave,alumilynn [2] alumilynn,kayvonpaul [2] kayvonpaul,janeeopie [2] janeeopie,alisonpalk [2] alisonpalk,beckyjohnson222 Top Word Pairs in Tweet in G6:
[40] supervised,consumption [25] consumption,sites [15] shocking,see [15] see,premierscottmoe [15] premierscottmoe,deny [15] deny,funding [15] funding,aidssaskatoon [15] aidssaskatoon,supervised [15] consumption,site [15] site,#saskatchewan Top Word Pairs in Tweet in G7:
[22] #opioidcrisis,#opioid [12] danlairdmd,thomasklinemd [11] please,folks [11] folks,follow [11] follow,medical [11] medical,advice [11] advice,physicians [11] physicians,politicians [11] politicians,listen [11] listen,dr Top Word Pairs in Tweet in G8:
[7] trump,admin [7] admin,rodrosenstein [7] rodrosenstein,helped [7] helped,walmart [7] walmart,avoid [7] avoid,prosecution [7] prosecution,#opioidcrisis [7] #opioidcrisis,don [7] don,expect [7] expect,heroes Top Word Pairs in Tweet in G9:
[21] society,wait [21] wait,long [21] long,solve [21] solve,problems [21] problems,example [21] example,#opioidcrisis [21] #opioidcrisis,one [21] one,many [19] many,pertinent [18] #humanreasoning,#collectivebehavior Top Word Pairs in Tweet in G10:
[9] #opioidcrisis,#opioidepidemic [9] #opioidcrisis,#sacklers [7] great,wide [7] wide,ranging [7] ranging,interview [7] interview,parallaxviews [7] parallaxviews,everything [7] everything,#pharma [7] #pharma,#coronaviruspandemic [7] #coronaviruspandemic,#opioidcrisis Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: