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AbstractIn the last 20 years network science has become an independent scientific field. We argue that by building network models network scientists are able to tame the vagueness of propositions about complex systems and networks, that is, to make these propositions precise. This makes it possible to study important vague properties such as modularity, near-decomposability, scale-freeness or being a small world. Using an epistemic model of network science, we systematically analyse the specific nature of network models and the logic behind the taming mechanism.

This book is about cybercriminal networks that make use of digital means, such as phishing, malware or hacking, to steal money from customers of financial institutions. The author analyzes the processes of origin and growthand criminal capabilities, and puts forward several explanations for the differences found between traditional criminal networks and cybercriminal networks.His most important findings are that although the majority of these cybercriminal networks still rely on real-world social ties for their origin and growth, some networks make full use of the advantages that digitization provides. As a new kind of offender convergence setting, forums provide a fluid form of cooperation, making dependency relationships seen in traditional criminal networks less important. Furthermore, examples were found of prolonged, repeated interaction through online communities, which raises the question to what extent digital social ties differ from their real-world counterparts.This study forms an important evidence-based contribution to the criminological knowledge about cybercriminal networks. Furthermore, based on the empirical results, the author outlines possibilities for situational crime prevention against cybercriminal networks. This book will therefore be of interest both to academics and practitioners in the field of cybercrime and cyber security

Abstract
In this research, the opinions about family and values of public administration representatives were examined. Based on online questionnaires, the research sample included 428 civil servants and scientists from various ministries, faculties, schools, libraries, institutes, and municipalities. Opinions in the form of classified data for civil servants were converted into numerical data and presented in networks. It is possible to illustrate various scenarios about diverse types of decision-making processes, within which either feminine or masculine value emphases predominate. The present study has opened an interesting area of research on hierarchical associative networks of family and values. Researching such networks, whether they concern individuals, families, or diverse societies, could support us to improve various decision-making models. Hierarchical associative value networks will play a meaningful role in decision-making in a variety of ways and the upcoming development of the family. Future research could go in the direction of measuring and analyzing hierarchical associative networks of values in specific families and other social environments like within e.g., health, police, industry, military. This would provide an excellent insight into the mental concepts of people and across different social zones (e.g., migration zone, cultural zone, industrial zone, trade zone, government zone).

Wireless Mesh networks have the potential to provide inexpensive and quick access to the internet for military communications, surveillance, education, healthcare and disaster management. This work caters to the growing high- bandwidth demands by providing low delay and high throughput by designing efficient, robust routing algorithms for wireless mesh networks. Chapters 2 and 3 of this dissertation describe adaptive routing algorithms that opportunistically route the packets in the absence of reliable knowledge about channel statistics and the network model. We design two adaptive routing algorithms, Distributed Opportunistic Routing (d-AdaptOR) and No Regret Routing (NRR), which minimize the expected number of transmissions and thus improving the throughput. The remainder of the dissertation concerns with the design routing algorithms to avoid congestion in the network. In Chapter 4, we describe a Distributed Opportunistic Routing algorithm with Congestion Diversity (ORCD) which employs receiver diversity and minimizes end-end delay. In Chapter 5, we present the Congestion Diversity Protocol (CDP), a distributed routing protocol for 802.11-based multi-hop wireless networks that combines important aspects of shortest-path and back-pressure routing to achieve improved end-end delay performance. This work reports on a practical (hardware and software) implementation of CDP in an indoor Wi-Fi testbed

This paper analyses the social networks existing among politicians and economists in contemporary Mozambique, using the SNA-Social Networks Analysis method to identify the links between these individuals, to discern their relationships and to measure both the density and the centrality of the political-business network. Mozambique's political and business elite is thus identified. A network sociogram is presented identifying the individual position in the network and the linkages among these individuals and several positional metrics of the individuals in the network are estimated, allowing identifying each individual and its influence in the network. As this network is resource accumulation driven, this exercise permits to identify the main political and economic individual active in Mozambique economy. President Guebuza define the major network centre and other individuals, Joaquim Chissano, the former president, and Graça Machel, the widow of another former president. Policy implications are derived and the links between them displayed, allowing for an accurate view of Mozambique's political and business world. ; Apoio da Fundação para a Ciência e Tecnologia