The graph represents a network of 11,030 Twitter users whose recent tweets contained "Pharma lang:en until:2019-01-13", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Tuesday, 15 January 2019 at 16:46 UTC.
The tweets in the network were tweeted over the 9-hour, 16-minute period from Saturday, 12 January 2019 at 14:42 UTC to Saturday, 12 January 2019 at 23:59 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 : 11223
Unique Edges : 14841
Edges With Duplicates : 73725
Total Edges : 88566
Number of Edge Types : 4
Mentions : 74436
Replies to : 3093
Tweet : 2276
Retweet : 8761
Self-Loops : 2326
Reciprocated Vertex Pair Ratio : 0.132487870490465
Reciprocated Edge Ratio : 0.233976670201485
Connected Components : 730
Single-Vertex Connected Components : 345
Maximum Vertices in a Connected Component : 9360
Maximum Edges in a Connected Component : 82589
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 3.724227
Graph Density : 0.00018718561649684
Modularity : 0.226133
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[6871] big,oil [6863] sec,interior [6861] american,democracy [6861] serves,contractors [6861] contractors,epa [6861] epa,admin [6861] admin,serves [6861] serves,coal [6861] coal,industry [6861] serves,pharma Top Word Pairs in Tweet in G1:
[6780] sec,hhs [6780] sec,interior [6779] american,democracy [6779] democracy,president [6779] president,serves [6779] serves,putin [6779] putin,sec [6779] sec,defense [6779] defense,serves [6779] serves,contractors Top Word Pairs in Tweet in G2:
[208] big,pharma [206] drug,companies [205] last,year [203] pharma,ceos [202] americans,afford [200] year,five [200] five,largest [200] largest,drug [200] companies,america [200] america,made Top Word Pairs in Tweet in G3:
[559] big,pharma [508] pharma,amp [502] symbolic,yellow [502] yellow,vest [502] vest,protestors [502] protestors,9th [502] 9th,week [502] week,trample [502] trample,eu [502] eu,flag Top Word Pairs in Tweet in G4:
[297] big,pharma [285] credomobile,resist [149] pharma,monopolies [139] pharma,announced [139] announced,price [139] price,hikes [138] donald,trump [138] trump,lied [138] hikes,credomobile [137] add,name Top Word Pairs in Tweet in G5:
[139] big,pharma [12] pharma,dangerous [12] dangerous,drugs [12] drugs,now [12] now,killing [12] killing,more [12] more,people [12] people,guns [12] guns,automobile [12] automobile,accidents Top Word Pairs in Tweet in G6:
[69] bawfuls,insideclimate [53] bjcreigh,theusasingers [53] b_rocka,acjjustice [53] enigmaric,ivysghost [53] ivysghost,barackobama [52] pebbles9010,bjcreigh [48] theusasingers,h8wankmaggot45 [48] h8wankmaggot45,b_rocka [48] acjjustice,cptnrwrpnts [47] cptnrwrpnts,enigmaric Top Word Pairs in Tweet in G7:
[554] ebonymckenna,rightwingblack2 [514] vorodecky,donnakay1967 [486] vbalance03,proantivaxxer [445] tonybaduy,prof_brunt [428] ghoppe,bluelionblog [423] martinneludicke,thereal_truther [420] donnakay1967,mstrixter [400] thereal_truther,stopvaxxedlies [392] seaglass34,sami_iam1in10 [388] dkegel,onelessdeceived Top Word Pairs in Tweet in G8:
[138] u2rakukatie,broyles_me [138] real_azkyle,liquidqub [138] liquidqub,wvakitty [138] wvakitty,mamoobonnie [138] mamoobonnie,ambamerica [138] ambamerica,unclesamatha [138] piegrandmas,thefarsideright [138] thefarsideright,2runtherace [138] 2runtherace,mlhcromwell16 [132] dkfoster17,manifiliz3 Top Word Pairs in Tweet in G9:
[79] big,pharma [73] pharma,dangerous [73] dangerous,drugs [73] drugs,now [73] now,killing [73] killing,more [73] more,people [73] people,guns [73] guns,automobile [73] automobile,accidents Top Word Pairs in Tweet in G10:
[82] testosterone,enanthate [82] enanthate,250 [82] 250,maha [82] maha,pharma [82] pharma,10 [82] 10,ml [82] ml,250 [82] 250,mg [82] mg,ml [82] ml,buytestenanthate Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: