Socjofizyczny model sojuszy i fragmentacji między krajami: Przypadek Ukrainy i Rosji (*) [A sociophysics model of alliances and fragmentation among countries: The case of Ukraine and Russia] Serge Galam (CEVIPOF - Centre for Political Research, Sciences Po and CNRS, Paris, France) I will discuss the dynamics of alliances - fragmentation among a set of countries using a sociophysics model. Countries are coupled via pair propensities, which favor either cooperation or conflict, depending on the historical building of each propensity. Propensities have been accumulated over long periods of time and cannot be modified by country respective wills. In contrast, each country is free to satisfy or not a given propensity with respectively a benefit or a cost. The principle that the enemy of my enemy is my friend and the enemy of my friend is my enemy reduces each country choice to either one of two opposite coalitions. Given a set of propensities, some countries may be unable to satisfy simultaneously all their pair propensities. As a consequence, instabilities are produced, which in turn drive a concomitant dynamic of fragmentation and alliances resulting in an endless cycles of alliance reshaping. In face of this countries hopelessly search for stability. I will show that the building of competing supranational coalitions, which are joined separately on an individual basis, does stabilize the set of alliances. Cooperation prevails between the respective members of each coalition in parallel with conflict between the two coalitions. Major illustrations of such supra-coalitions are NATO, EU and former Warsaw Pact. The model sheds light on the instabilities, which took place in Eastern Europe following the Warsaw pact dissolution, as well as the preservation of stability in Western Europe. Furthermore, the results hint at the possibility of an additional agenda beyond the per se Russian invasion of Ukraine. Prospects for the related geopolitical consequences are highlighted. (*) Based on: S.Galam, The dynamics of alliances: The case of Ukraine and Russia, Journal of Computational Science 71 (2023) 102058