A remarkable phenomenon in the time evolution of many networks such as cultural, political, national and economic systems, is the recurrent transition between the states of union and division of nodes. In this work, we propose a phenomenological modeling, inspired by the maxim "long union divides and long division unites", in order to investigate the evolutionary characters of these networks composed of the entities whose behaviors are dominated by these two events. The nodes are endowed with quantities such as identity, ingredient, richness (power), openness (connections), age, distance, interaction etc. which determine collectively the evolution in a probabilistic way. Depending on a tunable parameter, the time evolution of this model is mainly an alternative domination of union or division state, with a possible state of final union dominated by one single node. This work is a network modeling of the social systems composed of a large number of entities in interaction whose existence is dominated by two major events: union and division. Union means unification of two or more nodes (of the network) into one. Division is the inverse process: one node splits into several ones. Union and division is one of the most visible social, economic, cultural and political phenomena in the course of the development of a large number of composite systems. Different countries, political or economic groups can be unified into one country or group. There are also plenty of examples of division of these unities. The recurrent character of this phenomenon is well summarized in the maxim "long union divides, long division unites", consequence of the interplay of a pair of opposite tendencies in many evolutionary systems.Union and division are veritable complex processes in which many factors are responsible of the consequences. A good example of this complexity is the cultural landscape of the world with the long history of birth, death and mutation of cultures through interaction (communication, influence etc.), unification and splitting of cultures which are in addition under very complicated and uncertain influence of demographic, genetic, economic, political, scientific and technological systems as well as of many accidental elements such as natural disasters, wars, environmental changes and so on. It is for this reason that the most suitable description of the stochastic evolution of this kind of systems is probabilistic modeling taking into account as many as possible the involved factors and interaction mechanisms.We present here a phenomenological modeling of networks in which union and division of nodes are two dom- * Electronic address: jiangj2007010209@gmail.com, Telephone:18007155327 inating events determined in a probabilistic way by the nature and some general features of the nodes. One of the aims is to see what would be the destiny and the evolution characters of a network composed of nodes endowed with some general attributes allowing and influencing unification and division under given conditions, without enter ...