You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: Synchronization in complex networks of phase oscillators: A survey 
Chapter Title:  Synchronization in Complete Networks 
1. Abstract of Cited Paper (BIB001):  Improved mobility control in secondary and tertiary recovery processes is obtained by injecting at least two slugs into the reservoir, one slug designed to effect a permeability reduction and the other slug containing an agent which more effectively increases the fluid viscosity. For example, an aqueous slug containing a partially hydrolyzed, high molecular weight polyacrylamide can be injected (this slug efficiently reduces the relative permeability to the flow of the aqueous slug through the reservoir), followed by an aqueous slug containing a biopolymer, e.g., a linear polysaccharide having a molecular weight of about one million (this agent more effectively increases the viscosity of the water and has a lesser effect on permeability reduction). This combination of slugs gives more efficient and economical mobility control in flooding subterranean oil-bearing formations to recover oil therefrom.

Literature Review:
In this section, we study heterogeneous oscillators coupled in a complete graph with uniform weights a ij = K/n. In this case, the coupled oscillator model (1) reduces to the celebrated Kuramoto model given in (3). The Kuramoto model will reach synchronization provided that the coupling gain K is larger than a critical value, which depends on the dissimilarity among the natural frequencies ω. Starting from Winfree's and Kuramoto's pioneering work BIB001 BIB002  , this trade-off has been characterized by parametric inequalities. In what follows, we review various estimates of the critical coupling strength to characterize the on-set of synchronization as well as the ultimate stage of synchronization. We consider both infinite-dimensional as well as finite-dimensional Kuramoto models.