The article under consideration deals with the theoretical analysis and the practical research of the ratio between the two notions: egoism and altruism in person’s everyday activity. The author shows the inadequacy of the one-sided, morally loaded interpretations of both terms. The scores of two investigations mostly show the positive correlation between the cultural and leisure “egoism” and the “altruism” scales in a person’s everyday activity. The results obtained give the opportunity to replace the inadequate view on philosophical reading of cultural and leisure egoism and altruism as opposites by a more appropriate metaphor of the older and the younger brother. Such an approach removes the idea of antagonism which is usually ascribed to the egoism-altruism interrelation.

In the article we analyses Social clustering theories, Success stories, indicators and Models of the sustainability Algorithms for Smart Education and Social Partnership. Concepts that are conceptualized in. articles, studies, monographs and research reports of G.-B. von Carlsburg, G. Kvieskienė, V. Kvieska, T. Masson, K. Robinson, V. Targamadzė, E. Celiešienė and etc. associated with Smart Education, Child welfare and Positive socialization. This concept is also widely used in Lithuania for the preparation of national and international strategies, concepts, normative documents and projects between both public and non-governmental organizations. The phenomenon of social clustering development not been analyzed sufficiently and its development has been hampered both in Lithuania and in other countries. By analyzing a Smart Education Scenario, both the scientists and Stakeholders experiment to acquire answers about empowering public, private, research institutions and NGOs for daily networking, social clustering, developing social capital and public welfare. The object of this research is social clustering and Smart Education Interfaces. The Tasks: • Define the features of Smart Education and Clustering. • Analyze the Main Indicators of Smart Education, based on expert interviews, focus group discussions. • To Examine and Define the Principles of Social Clustering. • Create a Social Clustering algorithm and adapting four habits scenarios.