unify citation syntax for bliss papers

paper/paper.md

@@ -46,7 +46,7 @@ With `pymnet`, we introduce a Python package that provides the essential data st
 # Statement of Need
 
 [pymnet](https://github.com/mnets/pymnet) is a Python package for creating, analyzing, and visualizing multilayer networks. 
-It is designed for network scientists with an easy-to-use yet flexible interface, featuring, inter alia, representations of a very general class of multilayer networks, structural metrics of multilayer networks (e.g., clustering coefficients [@cozzo2015structure] and graphlet analysis [@sallmen2022]), multilayer-network transforms, multilayer-network isomorphisms and automorphisms [@kivela2017] (with [`bliss`](https://users.aalto.fi/~tjunttil/bliss/); @junttila2011; @junttila2007), and random multilayer-network models.
+It is designed for network scientists with an easy-to-use yet flexible interface, featuring, inter alia, representations of a very general class of multilayer networks, structural metrics of multilayer networks (e.g., clustering coefficients [@cozzo2015structure] and graphlet analysis [@sallmen2022]), multilayer-network transforms, multilayer-network isomorphisms and automorphisms [@kivela2017] (with [`bliss`](https://users.aalto.fi/~tjunttil/bliss/); [@junttila2011; @junttila2007]), and random multilayer-network models.
 
 Different kinds of multilayer network data are becoming more and more available, but our computational tools for handling such data are lagging behind. 
 Python is a popular programming language for network scientists and data scientists, and `pymnet` addresses the need for a feature-rich multilayer-networks package in the Python language that is actively maintained.