The graph represents a network of 9,388 Twitter users whose recent tweets were included in a list of 12649 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Monday, 09 December 2019 at 17:16 UTC.
The tweets in the network were tweeted over the 1936-day, 2-hour, 54-minute period from Friday, 10 May 2013 at 14:55 UTC to Tuesday, 28 August 2018 at 17:49 UTC.
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 : 9388
Unique Edges : 8137
Edges With Duplicates : 2456
Total Edges : 10593
Number of Edge Types : 3
Replies to : 2811
Tweet : 4080
Mentions : 3702
Self-Loops : 4080
Reciprocated Vertex Pair Ratio : 0.00953655680107077
Reciprocated Edge Ratio : 0.0188929400066291
Connected Components : 4162
Single-Vertex Connected Components : 2527
Maximum Vertices in a Connected Component : 2076
Maximum Edges in a Connected Component : 3305
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 8.650744
Graph Density : 6.847080077793E-05
Modularity : 0.666002
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 9,388 Twitter users whose recent tweets were included in a list of 12649 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Monday, 09 December 2019 at 17:16 UTC.
The tweets in the network were tweeted over the 1936-day, 2-hour, 54-minute period from Friday, 10 May 2013 at 14:55 UTC to Tuesday, 28 August 2018 at 17:49 UTC.
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 : TwitterIDList
Graph Term : 12649 tweet IDs
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[170] side,effects [129] report,updated [124] take,lipitor [124] high,cholesterol [108] atorvastatin,calcium [99] calcium,market [98] prices,usd [88] crestor,commercial [88] rosuvastatin,calcium [86] tyler,crestor Top Word Pairs in Tweet in G1:
[98] report,updated [95] atorvastatin,calcium [92] calcium,market [75] crestor,commercial [74] tyler,crestor [73] rosuvastatin,calcium [73] side,effects [69] prices,usd [66] global,atorvastatin [50] high,cholesterol Top Word Pairs in Tweet in G2:
[16] 10,mg [12] side,effects [12] low,dose [10] 40,mg [10] 1000,mg [8] rand18m,gearoidmuar [8] lipitor,10 [7] high,dose [7] 80,mg [7] 90,day Top Word Pairs in Tweet in G3:
[14] taking,crestor [12] heart,disease [12] side,effects [9] takes,crestor [9] take,crestor [8] high,cholesterol [6] total,cholesterol [6] blood,pressure [6] drsanjaygupta,whitehouse [6] whitehouse,realdonaldtrump Top Word Pairs in Tweet in G4:
[5] takes,crestor [5] high,cholesterol [4] taking,crestor [4] dr,ronny [4] take,crestor [4] heart,disease [3] lipitor,cholesterol [3] statins,lipitor [3] potus,crestor [3] cnn,lipitor Top Word Pairs in Tweet in G5:
[4] usmc6591,djsjrb [4] rbeals1976,ravensspirit68 [4] ravensspirit68,browndotflop [4] browndotflop,lauri_usa [4] travdet,unreaddatum [4] 20,mg [4] mg,atorvastatin [4] once,day [3] donkos,brent_kellogg [3] brent_kellogg,mornmoor Top Word Pairs in Tweet in G6:
[3] pre,licensure [3] licensure,trials [2] fawfulfan,jenbcurly [2] jkellyca,boglethemind [2] flu,vaccine [2] side,effects [2] serious,side [2] controls,received [2] trials,lasted [2] lasted,median Top Word Pairs in Tweet in G7:
[4] generic,crestor [4] lipitor,viagra [3] side,effects [2] lipitor,zocor [2] lipitor,those [2] think,crestor [2] last,year [2] top,drugs [2] already,gone [2] gone,generic Top Word Pairs in Tweet in G8:
[6] heart,disease [5] excellent,health [5] blood,pressure [4] high,cholesterol [4] 143,crestor [4] crestor,heart [4] heart,attack [3] lowering,medication [3] takes,crestor [3] take,crestor Top Word Pairs in Tweet in G9:
[9] melissaafrancis,costco [2] take,lipitor [2] mtmdphd,glopesmd [2] glopesmd,dranasyounes [2] dranasyounes,northtxmsg [2] alexa,order [2] order,lipitor [2] lipitor,five [2] five,words [2] words,prove Top Word Pairs in Tweet in G10:
[6] liked,youtube [6] youtube,video [4] added,video [4] video,youtube [4] youtube,playlist [3] better,lipitor [3] lipitor,managing [2] memorizing,#pharmacology [2] hmg,coa [2] coa,reductase 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 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 G9:
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 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: