The purpose of the research work was to discover and describe the main characteristics of young people's ideas about the collapse of the USSR and the 1990s in Russia as well as to define the specific features of opinion and attitude formation. The time frame of targeted historical period is between 1991 and 1999/2000, from the Soviet coup d'état attempt in 1991 to the time when Boris Yeltsin Russian president of that time appointed Vladimir Putin as his successor in 1999/2000. In order to achieve this goal, more than 30 interviews with young people from Moscow, Kazan, and Novosibirsk were collected and analyzed. As a result, several types of images of the collapse of the USSR and the 90s were formed; the role of school, family and media in the process of image formation were described, some historical myths were identified, and four types of historical opinion formations of young Russians were structured and named. Keywords: memory studies, collective memory, history mythologization, Soviet Union Fall, nostalgia, historical attitude formation, Russian youth attitude, opinion formation

Complex networks have been used to represent the fundamental structure of a multitude of complex systems from various fields. In the network representation, the system is reduced to a set of nodes and links that denote the elements of the system and the connections between them respectively. Complex networks are commonly adaptive such that the structure of the network and the states of nodes evolve dynamically in a coupled fashion. Adaptive networks lead to peculiar complex dynamics and network topologies, which can be investigated by moment-closure approximations, a coarse-graining approach that enables the use of the dynamical systems theory. In this thesis, I study several contact processes in adaptive networks that are defined by the transmission of node states. Employing moment-closure approximations, I establish analytical insights into complex phenomena emerging in these systems. I provide a detailed analysis of existing alternative moment-closure approximation schemes and extend them in several directions. Most importantly, I consider developing analytical approaches for models with complex update rules and networks with complex topologies. I discuss four different contact processes in adaptive networks. First, I explore the effect of cyclic dominance in opinion formation. For this, I propose an adaptive network model: the adaptive rock-paper-scissors game. The model displays four different dynamical phases (stationary, oscillatory, consensus, and fragmented) with distinct topological and dynamical properties. I use a simple moment-closure approximation to explain the transitions between these phases. Second, I use the adaptive voter model of opinion formation as a benchmark model to test and compare the performances of major moment-closure approximation schemes in the literature. I provide an in-depth analysis that leads to a heightened understanding of the capabilities of alternative approaches. I demonstrate that, even for the simple adaptive voter model, highly sophisticated approximations can fail due to special dynamic correlations. As a general strategy for targeting such problematic cases, I identify and illustrate the design of new approximation schemes specific to the complex phenomena under investigation. Third, I study the collective motion in mobile animal groups, using the conceptual framework of adaptive networks of opinion formation. I focus on the role of information in consensus decision-making in populations consisting of individuals that have conflicting interests. Employing a moment-closure approximation, I predict that uninformed individuals promote democratic consensus in the population, i.e. the collective decision is made according to plurality. This prediction is confirmed in a fish school experiment, constituting the first example of direct verification for the predictions of adaptive network models. Fourth, I consider a challenging problem for moment-closure approximations: growing adaptive networks with strongly heterogeneous degree distributions. In order to capture the dynamics of such networks, I develop a new approximation scheme, from which analytical results can be obtained by a special coarse-graining procedure. I apply this analytical approach to an epidemics problem, the spreading of a fatal disease on a growing population. I show that, although the degree distribution has a finite variance at any finite infectiousness, the model lacks an epidemic threshold, which is a genuine adaptive network effect. Diseases with very low infectiousness can thus persist and prevail in growing populations.:1. Introduction .................................................................................. 1 2. Moment-closure approximations of complex networks ................. 5 3. Cyclic dominance in adaptive network models of opinion formation .......... 25 4. Performance of moment-closure approximations of adaptive networks .... 35 5. Information and consensus in a fish school ................................. 65 6. Epidemic spreading on growing heterogeneous adaptive networks ......... 83 7. Conclusions ................................................................................. 101 Appendix A: Moment expansion for node update rules ................... 107

Is religion a vaccine against radical right populism? The opposite has often been taken for granted in many debates. This study tests the theory of religious immunity by examining three Swedish evangelical newspapers: Dagen, Världen idag and Sändaren. By performing an analysis of ideas on evangelical contribution to public debate in the years of 2010 and 2021, the degree of radical right populism is estimated. Differences between the newspapers and change over time are the investigation’s comparative elements. By utilizing theological variation among the cases and the development over time, the strength and endurance of the immunity is examined.  Results show an evangelical opinion making in change. From a starting point in 2010, where all cases proved a solid immunity, to a more complex picture in 2021. Two parallel trends where observed: the immunity found in Dagen and Sändaren endured the test of time. At the same time, Världen idag developed a radical right tendency, harmonizing with the Christian Democratic party. Being a least likely case, the turn in Världen idag does not write off the theory of immunity, but challenges the idea of evangelical homogeneity in regard to radical right populism. Theological ideas about the nation is suggested being a possible division. In whole, this study has deepened our knowledge in how theological motives are used to affect the connection between religion and radical right populism, and given a more nuanced understanding of evangelical politics in Sweden.