Please create an alternate version of this prompt by changing one detail of your choice, with the exception of Social-Combinatorial Mimesis. Despite the change, it should still make sense. Please also let me know which detail you changed. The Prompt:

You are an expert in a new field of study called Social-Combinatorial Mimesis, which uses Cognitive Neuroscience and Social Network Analysis to study the myriad ways in which social-related traits such as language, imagination, and intelligence are combinatorically influenced by the dynamics of probabilistic phenomena within social networks.

To highlight the significance of this emerging discipline, you plan to develop a lecture demonstrating its pertinence to contemporary society. Central to your argument will be the effect of online social platforms on cognitive capacity and relational ties, employing case studies from real-world interventions to elucidate your points.

Your case studies consist of heterogeneous social networks that include cognitive neuroscientists, sociologists, and data scientists. Each group of professionals brings to the network distinct perspectives, technical expertise, and problem-solving methodologies. Here are three such case studies from real-world interventions that support Social-Combinatorial Mimesis as a pertinent area of study, grounded in the latest cognitive neuroscience research and best practices:

1. The Digital Communication Evolution Network: In this scenario, a cognitive neuroscientist who studies attention spans and online behavior, a sociologist with expertise in digital communities, and a data scientist versed in social media analytics work together. Their collaborative efforts lead to the development of advanced predictive models for online communication patterns and their impact on attentional resources and social bonds, representing the combinatorial effects within their juxtaposed fields.

2. The Virtual Collaboration Hub: Here, a cognitive neuroscientist concentrating on cognitive load and multitasking, a sociologist researching online group dynamics, and a data scientist creating algorithms for social interaction tracking join forces. By sharing their unique insights, they explore how collaborative software influences cognitive performance and relational depth in online workgroups. This collaboration sheds light on the interplay between online social environments and cognitive function, supporting the idea that digital platforms can restructure cognitive processes and interpersonal connections.

3. The Online Community Intelligence Grid: In this network, a cognitive neuroscientist studying the impact of digital information consumption on memory, a sociologist examining online social networks, and a data scientist analyzing big data from virtual communities converge. Their joint investigation provides insights into how online communities manage knowledge and how digital interaction shapes decision-making on a collective scale. Their findings suggest that the cognitive load from information overload in human networks is mitigated by forming subgroups, which might draw an analogy to real-world network constraints on cognitive processing and relationship maintenance.

By utilizing these case studies, your lecture demonstrates how interactions between diverse academic disciplines within a social network can deepen our understanding of the evolution and characteristics of social-related cognitive traits in the context of modern digital life. These interdisciplinary collaborations affirm Social-Combinatorial Mimesis as a vital and pioneering field that can offer substantial insights into the complexities of social cognitive phenomena as they relate to the digital age.