This is a front-end for the Online Encyclopedia of Integer Sequences, made by Christian Perfect. The idea is to provide OEIS entries in non-ancient HTML, and then to think about how they're presented visually. The source code is on GitHub.
%I A208356 #12 Jan 04 2019 04:50:52 %S A208356 1,2,8,61,762,13204,300155,8950176 %N A208356 Number of labeled star-like graphs on n vertices. %C A208356 Graph G is called star-like if and only if one of its clique trees forms a star. %C A208356 The first seven terms published in the Bina Ph.D. thesis. %H A208356 V. Bina, <a href="https://insis.vse.cz/zp/index.pl?prehled=vyhledavani;podrobnosti_zp=32066;zp=32066;dinfo_jazyk=3">Multidimensional probability distributions: Structure and learning</a>, Ph.D. Thesis. Fac. of Management, University of Economics in Prague (2011) %o A208356 # R code %o A208356 library(igraph) %o A208356 bits <- function(x, n) { # decodes binary representation of graphs %o A208356 list <- NULL %o A208356 while (x > 0) { %o A208356 list <- c(list, x %% 2) %o A208356 x <- x %/% 2 %o A208356 } %o A208356 while (length(list) < n) {list <- c(list,0)} %o A208356 return(list) %o A208356 } %o A208356 n<-5 # number of vertices %o A208356 edges <- choose(n,2) %o A208356 models <- 0:(2^edges-1) # all graphs on n vertices %o A208356 mat <- matrix(rep(0,n^2),ncol=n) #adjacency matrix %o A208356 nstar <- 0 %o A208356 for (m in models) { %o A208356 mat[lower.tri(mat)] <- bits(m,hran) %o A208356 l <- maximal.cliques(graph.adjacency(mat,mode="lower")) %o A208356 aux <- factor(unlist(l)) %o A208356 l <- lapply(l,setdiff, levels(aux)[tabulate(aux) == 1]) %o A208356 l <- lapply(l,setdiff,l[[which.max(unlist(lapply(l,length)))]]) %o A208356 if (sum(unlist(lapply(l,length))) < 1) nstar <- nstar + 1 %o A208356 } %o A208356 nstar %Y A208356 Cf. A179534, A006125, A058862 (sub- and superclasses) %K A208356 nonn %O A208356 1,2 %A A208356 _Vladislav Bina_, Feb 25 2012