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A valuable feature of networks is their ability to quantify structural relationships. Much like a chemist who, having purified their sample, can bring to bear a wide range of tools for understanding their sample by transforming data into a network, a network scientist can leverage a range of tools that provide precise measurements of their data’s structure. This includes node-level measures like degree and centrality, meso-scale measures like community formation, and macro-scale measures like density and modularity. This chapter introduces these measures and gives a brief guide to their use.
In network science, one of the significant and challenging subjects is the detection of communities. Modularity [1] is a measure of community structure that compares connectivity in the network with the expected connectivity in a graph sampled from a random null model. Its optimisation is a common approach to tackle the community detection problem. We present a new method for modularity maximisation, which is based on the observation that modularity can be expressed in terms of total variation on the graph and signless total variation on the null model. The resulting algorithm is of Merriman–Bence–Osher (MBO) type. Different from earlier methods of this type, the new method can easily accommodate different choices of the null model. Besides theoretical investigations of the method, we include in this paper numerical comparisons with other community detection methods, among which the MBO-type methods of Hu et al. [2] and Boyd et al. [3], and the Leiden algorithm [4].
This chapter describes basic principles of neuropsychology, patterns of neuropsychological dysfunction, methods of neuropsychological assessment, and neuropsychological approaches to psychopathology. It presents a history of clinical neuropsychology and illustrates the ways in which clinical neuropsychologists perform assessments and help design interventions for patients who experience neurological, cognitive, and/or psychological dysfunction related to conditions stemming from developmental, medical, degenerative, or other kinds of problems. It also highlights their research on both normal and abnormal brain functioning, pointing out that this research has helped shed light on psychological disorders such as depression and schizophrenia, and on neurological disorders such as Alzheimer’s disease or the effects of a concussion. The chapter portrays clinical neuropsychology as a rapidly growing field for which specialized training is required. Its practitioners must understand brain–behavior relationships and develop competence with a variety of assessment and intervention techniques that are unique to the field.
This chapter reviews features of FL that cannot be reduced to properties of Merge and their standing in a Merge-based account. These include the modularity of FL, the ECP, the Y-model, subjacency/barriers/phase theories of bounding, relativized minimality, and Wh-in-situ constructions.
Marlo et al. (2015) claim that Kuria verbal tone morphology undermines three well-established principles of locality and modularity: (1) Phonological Locality: the assumption that rules and constraints may only evaluate a small window of phonological objects; (2) Cyclic Locality: the stratal organization of morphophonology into stems, words and phrases; and (3) Indirect Reference: the claim that phonological rules and constraints cannot directly access morphosyntactic information. Sande et al. (2020) turn this claim into an argument for a new model of the morphosyntax–phonology interface, Cophonologies by Phase, which erases the separation between phonology and morphology and abandons standard locality domains in favour of syntactic phases. In this article, I show that the conclusions of both articles are unfounded: the Kuria data follow naturally from an analysis based on autosegmental tone melodies in a version of Stratal Optimality Theory which embraces all three restrictions, Phonological and Cyclic Locality and Indirect Reference, the latter implemented by Coloured Containment Theory. I argue that this approach obviates the technical and conceptual objections raised by Marlo et al. against a tone-melody analysis of Kuria, and makes more restrictive predictions about possible systems of tonal morphophonology compared to construction phonology frameworks.
Information is valuable and the cost of disseminating information is tending to zero. But realizing the value of information by getting it to the right place at the right time requires sharing and exchanging it. Its societal value is unleashed by networks of communication. Communication networks can be small or large technical systems that connect different types of devices to one another. The power of modern communication networks is amplified by their capacity to expand in a decentralized fashion. In network markets, firms need to decide about the architectural openness of their products and how to design the interfaces that facilitate connections. This chapter is focused on such network strategies.
The life sciences and social sciences typically study “complex adaptive systems:” nonlinear, self-organizing, adaptive, multilevel, multicomponent systems in which dense interconnections between elements produce irreducible/emergent systems effects. Systems and their components are partially (in)separable: they can be fully understood neither solely in terms of their parts (some outcomes are emergent) nor solely in terms of the whole (the character of the parts is essential to the nature of the whole). Important implications of a complex adaptive systems perspective for IR include a new view of international systems and their structures; a distinctive understanding of social continuity and social change; new perspectives on levels, theory, and explanation; new tools for comparative analysis; renewed attention to hierarchy; and a distinctive understanding of globalization.
Chapter 5 investigates mental modularity, which is a central concept in the study of minds, i.e., the notion of mental module which, in this context, refers to a specific, specialized domain-specific mental capacity (such as for language, for vision, for music, etc.). A given module may contain several submodules. We will look at the history of this concept and how it has been understood in different approaches, such as the outdated pseudoscience phrenology, the philosopher Jerry Fodor’s nine criteria for proper modules, massive modularity in evolutionary psychology, and other views. Once modules are postulated, we can ask, separately for each module, about the interplay between nature and nurture: Different outcomes are possible for different modules. Finally, we discuss the notion of ontogenetic, developmental modules.
Chapter 2 first discusses the fact that humans form one of the many millions of animal species that, along with non-animal species, all occupy a place in the big “tree of life,” followed by two responses which aim to single out humans as fundamentally different, especially in terms of their mental capacities. Given our focus of attention on the mind, we discuss the notions mind–body dualism and modularity. The remainder of this chapter offers a preview of many issues that will be discussed in more detail in subsequent chapters. We review the central question how people come to know what they know in some detail, which allows us to be more precise about what we mean by “nature” and “nurture.” We then focus on Noam Chomsky’s Innateness Hypothesis for language, considering its impact in all fields that study human behavior. We preview what this hypothesis entails about how children acquire their language and the predictions it makes about general, universal properties that all languages share. We discuss why Chomsky’s Innateness Hypothesis is controversial and conclude the chapter with some genetic and neurological aspects of the innateness claim.
In previous work, summarized in this paper, we proposed an operation of parallel composition for rewriting-logic theories, allowing compositional specification of systems and reusability of components. The present paper focuses on compositional verification. We show how the assume/guarantee technique can be transposed to our setting, by giving appropriate definitions of satisfaction based on transition structures and path semantics. We also show that simulation and equational abstraction can be done componentwise. Appropriate concepts of fairness and deadlock for our composition operation are discussed, as they affect satisfaction of temporal formulas. We keep in parallel a distributed and a global view of composed systems. We show that these views are equivalent and interchangeable, which may help our intuition and also has practical uses as, for example, it allows global-style verification of a modularly specified system. Under consideration in Theory and Practice of Logic Programming (TPLP).
How does the quantity and quality of innovation in an organization vary with the architecture of the product that the organization produces is a recurring theme in literature. This paper attempts to answer this question in quantitative terms and establishes an empirical relationship. While establishing this relationship, this paper also finds objective and quantitative expressions both for the product architecture and innovation in such a way that both the qualitative and quantitative aspects of innovation are accounted for. In this process three new formulations, which can be calculated using the data available in public domain, have been established for architectural modularity, architectural complexity and innovativeness of an idea respectively.These formulations have been verified by collecting innovation data in an automobile manufacturing company and analyzing it from the perspective of architecture and innovation. Finally, the relatioships between architectural parameters and innovativeness have been explored. Implications include the type of architecture more amenable to innovation, the impact of innovation on architectural complexity and a methodological contribution to operationalizing innovation.
Williams syndrome (WS) is a rare genetic disorder, characterised at the cognitive level by a phenotypic pattern of relative weaknesses (e.g., visuospatial skills) and strengths (e.g., some linguistic and nonverbal reasoning skills). In this study, we performed a systematic search and meta-analysis on lexical-semantic processing in WS, an area of knowledge in which contradictory results have been obtained. We found 42 studies matching our criteria, and, in total, 78 effect sizes were included in the meta-analysis. Results showed that individuals with WS have worse lexical-semantic skills than individuals with typical development, whether matched by chronological or mental age. However, people with WS have better lexical-semantic skills than people diagnosed with other cognitive disabilities. Finally, vocabulary skills seem to be relatively spared in WS, although they present some difficulties in semantic processing/integration, semantic memory organisation and verbal working memory skills. Taken together, these results support a neuroconstructivist approach, according to which the cognitive mechanisms involved in lexical-semantic processing may be modulated, even when performance in some tasks (i.e., vocabulary tasks) might be optimal.
We obtain, for the first time, a modular many-valued semantics for combined logics, which is built directly from many-valued semantics for the logics being combined, by means of suitable universal operations over partial non-deterministic logical matrices. Our constructions preserve finite-valuedness in the context of multiple-conclusion logics, whereas, unsurprisingly, it may be lost in the context of single-conclusion logics. Besides illustrating our constructions over a wide range of examples, we also develop concrete applications of our semantic characterizations, namely regarding the semantics of strengthening a given many-valued logic with additional axioms, the study of conditions under which a given logic may be seen as a combination of simpler syntactically defined fragments whose calculi can be obtained independently and put together to form a calculus for the whole logic, and also general conditions for decidability to be preserved by the combination mechanism.
Serialism is often canonically pinned to a few mid-century acoustic pieces, but this textbook definition is unnecessarily narrow. Would it be possible to consider computer music, EDM, and hip hop as serial, in some way? This essay argues that a ‘serial attitude’ emerges in the dialectic between analogue and digital ways of musicking. Electronic technologies – from generators to drum machines – crucially mediate such attitudes and behaviours. In sum, serial attitudes shape and are shaped by technological affordances. Case studies include the analogue electronic studio of the WDR, early computer music laboratories at Utrecht, Bell Labs, and Columbia-Princeton, and the vernacular musics of Yellow Magic Orchestra and Afrika Bambaataa. I explore resonances between these disparate scenes, while also arguing for their particularity. This essay rethinks serialism as a practice imbricated with technology, extending beyond the narrow confines of high-art academic institutions.
Numerous works have been proposed to generate random graphs preserving the same properties as real-life large-scale networks. However, many real networks are better represented by hypergraphs. Few models for generating random hypergraphs exist, and also, just a few models allow to both preserve a power-law degree distribution and a high modularity indicating the presence of communities. We present a dynamic preferential attachment hypergraph model which features partition into communities. We prove that its degree distribution follows a power-law, and we give theoretical lower bounds for its modularity. We compare its characteristics with a real-life co-authorship network and show that our model achieves good performances. We believe that our hypergraph model will be an interesting tool that may be used in many research domains in order to reflect better real-life phenomena.
Interaction networks can provide detailed information regarding ecological systems, helping us understand how communities are organized and species are connected. The goals of this study were to identify the pattern of interaction between bats and ectoparasites in urban green areas of Grande Aracaju, Sergipe, and calculate connectance, specialization, nesting, modularity and centrality metrics. Bats were captured using 10 mist nets inside and on the edges of the fragments, and the collected ectoparasites were stored in 70% alcohol. All analyses were performed using R software. The interaction network consisted of 10 species of bats and 13 ectoparasites. Connectivity was considered low (0.12). The specialization indices for ectoparasites ranged from 0.50 to 1.00, and the value obtained for the network was 0.96, which is high. The observed nesting metric was low (wNODF = 1.47), whereas the modularity was high (wQ = 0.74), indicating that the studied network had a modular topology. All centrality metrics had low values. The observed modularity may have been caused by the evolutionary history of the bats and ectoparasites involved and the high specificity index of the interactions. The low centrality values may be associated with low connectivity and a high degree of specialization. This study provides relevant information on bat–parasite interactions in an urban environment, highlighting the need for further studies to improve our understanding of host–parasite interaction networks.
In January 1909, the students of the Azhar, the Islamic world’s most prestigious university, went on strike. Protesting recent curricular and administrative changes introduced by the Egyptian Khedive, they demanded increased material support and asserted the university’s right to govern itself. After several weeks of demonstrations that drew thousands of supporters into the streets of Cairo, the Khedive suspended the reforms that first caused the Azharis to walk out. Oddly, this remarkable mobilization has nearly vanished into obscurity. Drawing on reporting from the Egyptian press and intelligence memoranda from the Egyptian Ministry of Interior, this article argues that the apparent incongruity of Azharis on strike was no mistake. Their willful rejection of ascribed categories helps to explain both why this movement of unionized seminarians speaking a language of self-government proved so striking for contemporary supporters and critics alike and why this event has slipped through the cracks of a historiography still framed by those very categories. Long forgotten in histories of both nationalism and organized labor, the Azhar strike represented a pivotal moment in the emergence of mass politics in Egypt. In invoking “union,” the Azharis engaged in multiple, overlapping acts of comparison. Inspired by the modular repertoires of militant labor, they simultaneously hailed the constitutional revolution of the Ottoman Committee of Union and Progress as a model for political transformation. Rooted in a self-conscious critique of colonial comparativism, their struggle thereby furnished new materials with which to elaborate a telescopic series of anti-colonial solidarities that were themselves fundamentally comparative.
Recent studies mostly focus on the links between measures of alpha-band EEG networks and intelligence. However, associations between wide frequency range EEG networks and general intelligence level remain underresearched.
Objectives
In this study in a student sample we aimed to correlate the intelligence level and graph metrics of the sensors/sources-level networks constructed in different frequency EEG bands.
Methods
We recorded eyes-closed resting-state EEG in 28 healthy participants (21.4±2.1 y.o., 18 females, 1 left-handed). The Raven’s Standard Progressive Matrices Plus (‘SPM Plus’, 60 figures) was used as an intelligence measure. We constructed networks for all possible combinations of sensors/sources-level and 4-8, 8-13, 13-30, or 4-30 Hz frequency bands using Weighted Phase-Lag Index (wPLI), and calculated four graph metrics (Characteristic Path Length, Clustering Coefficient, Modularity, and Small World Index) for each network. Spearman correlation (with Holm-Sidak correction) was applied to characterize the relations between the SPM Plus scores and all the network metrics.
Results
SPM Plus scores varied from 35 to 57 (mean 45.3±4.2), and the intelligence level negatively correlated with Modularity in beta-band (r = -0.63, pcorr = 0.0253).
Conclusions
High modularity may reflect relatively high segregation, but not integration, of networks (Girn, Mills, Christoff, 2019). Accordingly, our findings may shed light on the neural mechanisms of the general inefficiency of global cognitive processing in the case of intellectual decline related to different mental disorders. Funding: This research has been supported by the Interdisciplinary Scientific and Educational School of Lomonosov Moscow State University ‘Brain, Cognitive Systems, Artificial Intelligence’.
In recent years, treating host–parasite associations as bipartite interaction networks has proven a powerful tool to identify structural patterns and their likely causes in communities of fish and their parasites. Network analysis allows for both community-level properties to be computed and investigated, and species-level roles to be determined. Here, using data from 31 host–parasite interaction networks from local fish communities around the world, we test for latitudinal trends at whole-network level, and taxonomic patterns at individual parasite species level. We found that while controlling for network size (number of species per network), network modularity, or the tendency for the network to be subdivided into groups of species that interact mostly with each other, decreased with increasing latitude. This suggests that tropical fish–parasite networks may be more stable than those from temperate regions in the event of community perturbations, such as species extinction. At the species level, after accounting for the effect of host specificity, we observed no difference in the centrality of parasite species within networks between parasites with different transmission modes. However, species in some taxa, namely branchiurans, acanthocephalans and larval trematodes, generally had higher centrality values than other parasite taxa. Because species with a central position often serve as module connectors, these 3 taxa may play a key role in whole-network cohesion. Our results highlight the usefulness of network analysis to reveal the aspects of fish–parasite community interactions that would otherwise remain hidden and advance our understanding of their evolution.