We propose a statistical model defined on tetravalent three-dimensional lattices in general and the three-dimensional diamond network in particular where the splitting of randomly selected nodes leads to a spatially disordered network, with decreasing degree of connectivity. The terminal state, that is reached when all nodes have been split, is a dense configuration of self-avoiding walks on the diamond network. Starting from the crystallographic diamond network, each of the four-coordinated nodes is replaced with probability p by a pair of two edges, each connecting a pair of the adjacent vertices. For all values ⩽ ⩽ p 0 1 the network percolates, yet the fraction f p of the system that belongs to a percolating cluster drops sharply at p c = 1 to a finite value f p c . This transition is reminiscent of a percolation transition yet with distinct differences to standard percolation behaviour, including a finite mass > f 0 p c of the percolating clusters at the critical point. Application of finite size scaling approach for standard percolation yields scaling exponents for → p p c that are different from the critical exponents of the second-order phase transition of standard percolation models. This transition significantly affects the mechanical properties of linear-elastic realizations (e.g. as custom-fabricated models for artificial bone scaffolds), obtained by replacing edges with solid circular struts to give an effective density ϕ. Finite element methods demonstrate that, as a low-density cellular structure, the bulk modulus K shows a cross-over from a compression-dominated behaviour, ϕ ϕ ∝ κ K ( ) with κ ≈ 1, at p = 0 to a bending-dominated behaviour with κ ≈ 2 at p = 1.Percolation is a fundamental model of statistical physics and probability theory [1], with a wealth of scientific and engineering applications [2]. The fundamental question of percolation theory is the existence of connected components whose size is of the order of the system size (percolating clusters), in disordered structures that result from randomly inserting or removing local structural elements. It owes its generality, and hence importance, partially to the strong universality of the percolation transition. In the majority of lattice and continuum models, the transition from non-percolating to percolating structures is a continuous second-order phase transition in the insertion (or deletion) probability p, characterized by the same critical exponents that are independent of lattice type, symmetry, coordination, particle shape, etc [1]. Exceptions are non-equilibrium directed percolation models [3,4] and negative-weight percolation [5], both with different critical exponents, and explosive percolation where a bias for the formation of small clusters leads to a first order transition [6,7] or at least to unusual finite size scaling [8].We propose a simple statistical model, here referred to as vertex split model or linked loop model, defined for the three-dimensional diamond network. (The diamond network is the crystallographic net with c...