%global __brp_check_rpaths %{nil} %global packname TNC %global packver 0.1.0 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.1.0 Release: 3%{?dist}%{?buildtag} Summary: Temporal Network Centrality (TNC) Measures License: GPL-3 URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.4.1 Requires: R-core >= 3.4.1 BuildArch: noarch %description Node centrality measures for temporal networks. Available measures are temporal degree centrality, temporal closeness centrality and temporal betweenness centrality defined by Kim and Anderson (2012) . Applying the REN algorithm by Hanke and Foraita (2017) when calculating the centrality measures keeps the computational running time linear in the number of graph snapshots. Further, all methods can run in parallel up to the number of nodes in the network. %prep %setup -q -c -n %{packname} %build %install mkdir -p %{buildroot}%{rlibdir} %{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname} test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so) rm -f %{buildroot}%{rlibdir}/R.css %files %{rlibdir}/%{packname}