The graph represents a network of 4,391 Twitter users whose recent tweets contained "#metascience2019", 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 Thursday, 12 September 2019 at 17:13 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 14-minute period from Tuesday, 03 September 2019 at 11:38 UTC to Thursday, 12 September 2019 at 16:52 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 : 4391
Unique Edges : 9094
Edges With Duplicates : 4293
Total Edges : 13387
Self-Loops : 1326
Reciprocated Vertex Pair Ratio : 0.0201335387776066
Reciprocated Edge Ratio : 0.0394723592790253
Connected Components : 47
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 4322
Maximum Edges in a Connected Component : 13323
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.800064
Graph Density : 0.000515187152847847
Modularity : 0.446244
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1990] papers,cited [1958] google,scholar [1906] more,concentrated [1895] search,engine [1886] found,people [1885] getting,more [1884] over,over [1884] people,lazily [1884] lazily,cite [1884] cite,whatever Top Word Pairs in Tweet in G1:
[1761] google,scholar [1760] papers,cited [1759] people,lazily [1759] lazily,cite [1759] cite,whatever [1759] whatever,papers [1759] search,engine [1759] engine,ranks [1759] ranks,highly [1758] scholar,seems Top Word Pairs in Tweet in G2:
[178] tim,errington [169] don,t [105] #metascience2019,far [95] slide,#metascience2019 [90] p,hacking [81] p,values [80] depressing,slide [79] errington,wins [79] wins,depressing [74] teach,people Top Word Pairs in Tweet in G3:
[181] psychology,interdisciplinary [181] interdisciplinary,field [181] field,first [181] first,time [181] time,psych [181] psych,1st [181] 1st,place [181] place,science [181] science,except [181] except,positive Top Word Pairs in Tweet in G4:
[105] jevinwest,#metascience2019 [104] worst,use [104] use,h [104] h,index [104] index,dating [104] dating,really [104] really,jevinwest [61] p,values [58] journal,banned [58] banned,p Top Word Pairs in Tweet in G5:
[35] google,scholar [30] replications,figure [30] figure,out [26] today,submitted [26] papers,cited [25] submitted,grant [25] grant,4 [25] 4,funding [25] funding,line [25] line,now Top Word Pairs in Tweet in G6:
[111] papers,cited [95] prediction,market [93] cited,less [92] science,self [92] self,correct [92] correct,such [92] such,non [92] non,replicating [92] replicating,papers [92] less,apparently Top Word Pairs in Tweet in G7:
[76] #metascience2019,#fetzerfranklinfund [69] lt,lt [62] high,impact [61] contrary,conventional [61] conventional,wisdom [61] wisdom,scientists [61] scientists,best [61] best,work [61] work,young [61] young,paper Top Word Pairs in Tweet in G8:
[2] #metascience2019,new [2] paula,stephan [2] #bbnaijia,#metascience2019 [2] #metascience2019,#tiff2019 [2] #tiff2019,#raidersnation [2] #raidersnation,#thegroup [2] #thegroup,#chandrayaan2 [2] #chandrayaan2,#xoxofest [2] #xoxofest,#oceanstars [2] #oceanstars,#actor Top Word Pairs in Tweet in G9:
[23] spoiler,alert [23] alert,very [23] very,people [23] people,campus [23] campus,help [23] help,navigate [23] navigate,requirements [23] requirements,re [23] re,place [23] place,expect Top Word Pairs in Tweet in G10:
[14] talk,#metascience2019 [13] google,scholar [12] very,intriguing [12] intriguing,talk [12] #metascience2019,dependence [12] dependence,google [12] scholar,causing [12] causing,concentration [12] concentration,citations [12] citations,field 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 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 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: