This article examines the high transaction costs of finding and verifying partners in modern business communities. It proposes a conceptual approach to networking algorithms based on predictive analytics and digital participant profiling. A three-tier interaction management model is described that enables the transformation of trust from a stochastic social resource into a manageable economic asset. Empirical data is presented confirming a 60–80% reduction in the time spent searching for relevant contacts.

Keywords: graph theory, maximum clique problem, link management

In the article, the authors propose a methodology for managing connections in a community based on the developed heuristic algorithm for optimal seating of participants in a multi-round networking event to maximize the likelihood of new partnerships within offline events. The seating algorithm is based on solving the NP-complete problem of the maximum clique. Optimization of the resulting solution is implemented based on the permutation crossover algorithm.

Keywords: In the article, the authors propose a methodology for managing connections in a community based on the developed heuristic algorithm for optimal seating of participants in a multi-round networking event to maximize the likelihood of new partnerships withi