Computation in Complex Networks

Complex networks are one of the most challenging research focuses of disciplines, including physics, mathematics, biology, medicine, engineering, and computer science, among others. The interest in complex networks is increasingly growing, due to their ability to model several daily life systems, such as technology networks, the Internet, and communication, chemical, neural, social, political and financial networks. The Special Issue “Computation in Complex Networks" of Entropy offers a multidisciplinary view on how some complex systems behave, providing a collection of original and high-quality papers within the research fields of: • Community detection • Complex network modelling • Complex network analysis • Node classification • Information spreading and control • Network robustness • Social networks • Network medicin

From the constructs and methods of the philosophers to a model for improved discourse between disciplines

We have problem areas which are beyond the scope of a discipline, but we are generally educated in just a single discipline. I explored our philosophy of work to see how we became disciplinary, where the disciplines came from, what philosophy underlies our way of working, and what philosophy underpins work that is beyond the scope of a discipline. The underlying philosophy leads to the research question. My hypothesis is that a systems engineer can create a model which networks the disciplines using constructs from philosophy, the tiers of disciplines in transdisciplinarity, and systemic and holistic thinking. This will provide a way of working on problem situations which transgress the boundary of a discipline. Using constructs from philosophy, the methods of the philosophers, hermeneutics, systems thinking and soft systems methodology I proceeded to create a conceptual model and showed conceptual examples of how to use the model. The client for the model is the interdisciplinary researcher who is seeking a way of working to manage problem areas that transgress disciplinary boundaries. The recommendation is made for using critical, systemic and holistic thinking and a network model of disciplines to manage our approach to problem situations which are beyond the scope of a discipline. The model is developed in the incremental sequence: disciplinary, multidisciplinary, interdisciplinary, transdisciplinary and gets as far as catering for tiers of disciplines (one aspect of the large and complex field of transdisciplinarity). Therefore, the model is suitable for interdisciplinary research, but can be developed further in future projects. The importance of the model is that it provides a practical way of working to manage problem situations which transgress disciplinary boundaries whilst accessing the expertise of disciplined practitioners. The model can find wide applicability. It is not necessary for the user of the model to be comfortable with the abstract philosophy used to create it. Users will need the will for uncoerced mutual understanding or free communication, along with their disciplinary expertise. The reader of the dissertation however should be comfortable with abstractions such as ideas about reality and actuality, form and class, subject and object, truth and justice, truthfulness and functional fit. Future work may reduce the method to practice in the academy and extend the method to bridging silos in learning organisations in the workplace. The work was conducted independently, and an original model was created

The Mechanisms of Psychedelic Visionary Experiences: Hypotheses from Evolutionary Psychology

abstract: Neuropharmacological effects of psychedelics have profound cognitive, emotional, and social effects that inspired the development of cultures and religions worldwide. Findings that psychedelics objectively and reliably produce mystical experiences press the question of the neuropharmacological mechanisms by which these highly significant experiences are produced by exogenous neurotransmitter analogs. Humans have a long evolutionary relationship with psychedelics, a consequence of psychedelics' selective effects for human cognitive abilities, exemplified in the information rich visionary experiences. Objective evidence that psychedelics produce classic mystical experiences, coupled with the finding that hallucinatory experiences can be induced by many non-drug mechanisms, illustrates the need for a common model of visionary effects. Several models implicate disturbances of normal regulatory processes in the brain as the underlying mechanisms responsible for the similarities of visionary experiences produced by psychedelic and other methods for altering consciousness. Similarities in psychedelic-induced visionary experiences and those produced by practices such as meditation and hypnosis and pathological conditions such as epilepsy indicate the need for a general model explaining visionary experiences. Common mechanisms underlying diverse alterations of consciousness involve the disruption of normal functions of the prefrontal cortex and default mode network (DMN). This interruption of ordinary control mechanisms allows for the release of thalamic and other lower brain discharges that stimulate a visual information representation system and release the effects of innate cognitive functions and operators. Converging forms of evidence support the hypothesis that the source of psychedelic experiences involves the emergence of these innate cognitive processes of lower brain systems, with visionary experiences resulting from the activation of innate processes based in the mirror neuron system (MNS).View the article as published at https://www.frontiersin.org/articles/10.3389/fnins.2017.00539/ful

Tools for enterprises collaboration in virtual enterprises

Virtual Enterprise (VE) is an organizational collaboration concept which provides a competitive edge in the globalized business environment. The life cycle of a VE consists of four stages i.e. opportunity identification (Pre-Creation), partner selection (Creation), operation and dissolution. The success of VEs depends upon the efficient execution of their VE-lifecycles along with knowledge enhancement for the partner enterprises to facilitate the future formation of efficient VEs. This research aims to study the different issues which occur in the VE lifecycle and provides a platform for the formation of high performance enterprises and VEs. In the pre-creation stage, enterprises look for suitable partners to create their VE and to exploit a market opportunity. This phase requires explicit and implicit information extraction from enterprise data bases (ECOS-ontology) for the identification of suitable partners. A description logic (DL) based query system is developed to extract explicit and implicit information and to identify potential partners for the creation of the VE. In the creation phase, the identified partners are analysed using different risks paradigms and a cooperative game theoretic approach is used to develop a revenue sharing mechanism based on enterprises inputs and risk minimization for optimal partner selection. In the operation phases, interoperability remains a key issue for seamless transfer of knowledge information and data. DL-based ontology mapping is applied in this research to provide interoperability in the VE between enterprises with different domains of expertise. In the dissolution stage, knowledge acquired in the VE lifecycle needs to be disseminated among the enterprises to enhance their competitiveness. A DL-based ontology merging approach is provided to accommodate new knowledge with existing data bases with logical consistency. Finally, the proposed methodologies are validated using the case study. The results obtained in the case study illustrate the applicability and effectiveness of proposed methodologies in each stage of the VE life cycle

Artificial intelligence and the limits of the humanities

The complexity of cultures in the modern world is now beyond human comprehension. Cognitive sciences cast doubts on the traditional explanations based on mental models. The core subjects in humanities may lose their importance. Humanities have to adapt to the digital age. New, interdisciplinary branches of humanities emerge. Instant access to information will be replaced by instant access to knowledge. Understanding the cognitive limitations of humans and the opportunities opened by the development of artificial intelligence and interdisciplinary research necessary to address global challenges is the key to the revitalization of humanities. Artificial intelligence will radically change humanities, from art to political sciences and philosophy, making these disciplines attractive to students and enabling them to go beyond current limitations.Comment: 39 pages, 1 figur

Pristine Places and Passive People? Responses to Neoliberal Development and Maoist Conflict in Nepal\u27s Northwest Himalayas

In Humla District, Nepal, agro-pastoralists\u27 confrontations with forces of change in the last generation have altered villagers\u27 abilities to gain access to scarce resources. Development efforts and Nepal\u27s recent armed conflict, in particular, introduced novel technologies and ideologies that affected Humli vulnerabilities. This dissertation is based on field research comparing two Hindu villages in northwest Nepal during 2009 and 2010. One village had more extensive ties to development than the other, and these villagers and other change agents co-created transitional contexts of vulnerability in the post-conflict setting of rural Nepal. An armed conflict dominated the political landscape in Nepal for nearly ten years, ostensibly to uplift downtrodden members of society. Humlis who joined the Maoists during the insurgency had higher average incomes and higher overall socioeconomic statuses than those who did not join. This research challenges conventional wisdom about how `people\u27s wars\u27 motivate individuals of different social positions. Indeed, villagers\u27 responses to development workers and Maoist combatants were surprisingly similar. Certain development processes had de-stabilized parts of the region, and contributed both materially and ideologically to the vulnerabilities people experienced during and following the conflict. The rise of Nepali democracy and the development industry since the early 1990s has presented new social networking and resource options to Humlis as well as exposing them to new risks and vulnerabilities. The villagers who resisted some of these novelties had better food security and health outcomes and less divisive experiences of the conflict than villagers more engaged with development. Based on over a year of fieldwork (participant observation, surveys, interviews, and focus groups), statistical and ArcGIS analyses represent landscapes of health, health-seeking behavior, conflict, and kin networks in northwestern Nepal. These findings explore the integration of neoliberal development in this post-conflict setting in which cultural pluralism, caste, Hinduism and cultural conservatism all shape decision-making. They reveal the social and material resource conditions conducive to engagement in risky behavior in a politically and ecologically diverse and fragile context, with implications for Nepal\u27s, and by extension other rapidly developing regions\u27, ongoing development and contexts of vulnerability

The Semiotic Nature of Power in Social-Ecological Systems

abstract: Anderies (2015); Anderies et al. (2016), informed by Ostrom (2005), aim to employ robust feedback control models of social-ecological systems (SESs), to inform policy and the design of institutions guiding resilient resource use. Cote and Nightingale (2012) note that the main assumptions of resilience research downplay culture and social power. Addressing the epistemic gap between positivism and interpretation (Rosenberg 2016), this dissertation argues that power and culture indeed are of primary interest in SES research. Human use of symbols is seen as an evolved semiotic capacity. First, representation is argued to arise as matter achieves semiotic closure (Pattee 1969; Rocha 2001) at the onset of natural selection. Guided by models by Kauffman (1993), the evolution of a symbolic code in genes is examined, and thereon the origin of representations other than genetic in evolutionary transitions (Maynard Smith and Szathmáry 1995; Beach 2003). Human symbolic interaction is proposed as one that can support its own evolutionary dynamics. The model offered for wider dynamics in society are “flywheels,” mutually reinforcing networks of relations. They arise as interactions in a domain of social activity intensify, e.g. due to interplay of infrastructures, mediating built, social, and ecological affordances (An- deries et al. 2016). Flywheels manifest as entities facilitated by the simplified interactions (e.g. organizations) and as cycles maintaining the infrastructures (e.g. supply chains). They manifest internal specialization as well as distributed intention, and so can favor certain groups’ interests, and reinforce cultural blind spots to social exclusion (Mills 2007). The perspective is applied to research of resilience in SESs, considering flywheels a semiotic extension of feedback control. Closer attention to representations of potentially excluded groups is justified on epistemic in addition to ethical grounds, as patterns in cul- tural text and social relations reflect the functioning of wider social processes. Participatory methods are suggested to aid in building capacity for institutional learning.Dissertation/ThesisDoctoral Dissertation Anthropology 201

Exploring the ontological links between Human Ecodynamics and field archaeology through the integration of archaeological reports into DataARC’s landscape ontology

This research focuses on the processes of knowledge creation within a framework of Big Data. Concretely, my project focus on grey archaeological data and their underlying ontologies, and how to interlink such type of data with other data in a Computational Ontology. This research was carried out within the dataARC Project, which tries to represent Human Ecodynamics for the North Atlantic context using data generated over 25 years by NABO (North Atlantic Biocultural Organisation). The project has been developing a cyberinfrastructure whose main tool is a computational ontology. We try to include in this ontology diverse conceptual models (from archaeological and historical, to ecological or geological data) from different grey sources. In my case, the main issue is the creation of knowledge using multiple datasets that comes from grey literature sources. Said another way, my thesis explores how to create a dataset by extracting data and their underlying ontologies from grey-archaeological reports with the final aim of interlinking them with other datasets. For so doing, these reports are transformed into a dataset, which in turn is mapped to the interdisciplinary ontology. This thesis, therefore, presents a prototype dataset and the process of conceptual mappings. In so doing, I explore how to decompose archaeological reports that are in Open Access to make their data FAIRer and (inter)linked. Human Ecodynamics are of special importance for NABO and, consequently, for the DataARC project. Our computational ontology, therefore, had to be developed for representing Human Ecodynamics in a rigorous and efficient way, yet capable of engaging a broad audience. This, along the use multiple, interconnected, datasets in a concrete relational manner, forces us to develop an ontology capable of representing very abstract themes while representing small details that affect these ecodynamics. This led me to try to develop a theoretical framework which could allow me to contextualise DataARC's ontology and my own method. The theoretical framework blends Latourian Actor-Network-Theory and some basic ontological principles (in the theoretical-philosophical sense) drawn from Human Ecodynamics. This might arguably open new avenues for developing powerful ontologies capable of representing complex knowledge. Problems such as overlappings or identifying the right number of hierarchical levels will be discussed, as well as some procedures that might help in rethinking computational ontologies. Digital Archaeology's ethical challenges is a final interesting point touched by this thesis. Here it is argued that Digital Archaeology, specifically if we convey inter/transdisciplinary knowledge such as Human Ecodynamics or Local and Traditional Knowledge, carries quite an important ethical responsibility. This leads me to offer new possible pathways by openly engaging theoretical critical schools of thought such as Social Ecology -which, in turn, might shed light on problems related to Climate Change and similar current issues