Knowledge networking in the cross-cultural setting here focuses on promoting a culture of shared communication, values and knowledge, seeking cooperation through valorisation of diversity. The process is seen here in terms of creating new alliances of creators, users, mediators and facilitators of knowledge. At the global level, knowledge networking is seen as a symbiotic relationship between local and global knowledge resources. This focus is informed by the human-centred vision of the information society, which seeks a (...) symbiotic relationship between technology and society. It explores the nature of the knowledge in transition, raising issues of technology and knowledge transfer in the local–global context. The notions of human–machine symbiosis and of diversity and coherence provide a handle to explore the role of technology for sustainable development. The centrality of knowledge in stimulating knowledge networking for cross-cultural collaboration is illustrated through an exemplar of an EU–India Cross-Cultural Innovation Network project, a collaboration between European and Indian universities and institutes. (shrink)

A central challenge for research on how we should prepare students to manage crossing boundaries between different knowledge settings in life long learning processes is to identify those forms of knowledge that are particularly relevant here. In this paper, we develop by philosophical means the concept of a dialectical system as a general framework to describe the de-velopment of knowledge networks that mark the starting point for learning processes, and we use semiotics to discuss the epistemological thesis (...) that any cognitive access to our world of objects is mediated by signs and diagrammatic reasoning and abduction as those forms of practical knowledge that are crucial for the development of knowledge networks. The rich-ness of this theoretical approach becomes evident by applying it to an example of learning in a biological research context. At the same time, we take a new look at the role of mathematical knowledge in this process. (shrink)

A scientific paper’s citation represents its influence, which is the most intuitive indicator to access the quality of papers. This paper mainly adopts the social network analysis method, using the authors and the keywords of sports industry papers in China to constitute the networks of collaboration and knowledge, to explore effects of the degree centrality of authors and keywords and the structural hole of authors and keywords on the citation of papers in the collaboration and knowledge networks (...) and draw the following conclusions: as for collaboration networks, the degree centrality at the paper level is positively correlated with citations; in the collaboration network, the positive correlation between the structural hole at the paper level and citations does not exist; within knowledge networks, an inverted- U shape was found between degree centrality and paper’s citation; and within knowledge networks, a positive correlation is in existence between the structural hole of papers and their citation. This study synthesizes the already widely used collaboration network with the knowledge network constructed through keywords, distinguishes from the previous network features focusing at the author level, and explores research projects of Chinese Sports Industry from the paper level, providing a new perspective for the research of sports industry in China, complementing the methods and ideas of sports industry research, as well as providing a reference for the research in other disciplinary fields. (shrink)

In this study, we sorted out the research hotspots in sports science by bibliometric method and also used social network analysis to explore the relationship between knowledge networks and their scientific performance. We found 38 high-frequency keywords with obvious curricular nature or classical direction of sports science research and 4 high-frequency research groups. The topics of hotspots covered the secondary disciplines of sports science: physical education and training, national traditional sports, sports human science, and sports humanities and sociology. (...) However, sports human science research is less; therefore, accelerating the research of sports human science is the focus of future research. Meanwhile, we use social network structure analysis to study the relationship between knowledge elements in knowledge networks and their scientific performance. In addition to betweenness centrality, the closeness centrality, clustering coefficient, and structural holes of knowledge elements are significantly and positively related to their influence. In the relationship between knowledge elements and productivity, betweenness centrality and closeness centrality show significant positive correlations, and clustering coefficient and structural hole show significant negative correlations. Therefore, knowledge networks can be used to predict the scientific performance of knowledge elements. (shrink)

Higher education institutes both foster the advancement of knowledge and address society's socioeconomic and environmental challenges. To fulfil these multiple missions requires significant changes to how the role of a researcher is perceived e.g. a researcher identity that is congruent with the objective of contributing to fundamental knowledge while also engaging with non-academic actors, broadly, and entrepreneurship, in particular. We argue that the early stages of an academic career—namely the PhD training trajectory—and the knowledge networks formed during (...) this period have a major influence on the scientist’s future capacity to develop an appropriate researcher role identity. We draw on knowledge network and identity theories to investigate how the knowledge networks (i.e. business, scientific and career knowledge networks) of PhD students promote changes to, reinforce or conflict with the perception of a researcher role identity. Our longitudinal qualitative network study includes PhD students and their supervisors funded by the H2020 FINESSE project. At the network level, we show that scientific knowledge is distributed equally throughout young academics’ networks but that entrepreneurial (business) and career knowledge tend to be concentrated around certain individuals in these networks. On the PhD student level, we observe different pronunciations of the researcher role identity linked to students’ interactions with their knowledge networks. We distinguish identity conflicts due to misalignment between ego and alters which leads to withdrawal from the network. Our findings have practical implications and suggest that universities and PhD student supervisors should support PhD students to develop a researcher identity which is in line with the individual PhD student’s expectations. (shrink)

This article argues that abstract knowledge in the form of formally developed theory plays an increasingly important role in the economy and in financial innovation in particular.knowledge is easily reified, and this is an aspect of knowledge work that is insufficiently researched. In this article, we problematize reification of abstract knowledge in financial innovation from wisdom, ethics, and social network analysis perspectives. This article, therefore, considers the composition and structures of financial innovation networks that help (...) avoid reification by building ethicality through social practice wisdom. Finally, we discuss future directions that empirical ethics research can take. (shrink)

Networks and the World Wide Web seem to provide an answer to efficiently creating and disseminating knowledge resources. Knowledge, however, is ambiguous in character, and contains both explicit (information) and tacit dimensions - the latter being difficult to value as well as to transfer. Participant identity, commitment and behaviour within the network also affect the sharing of knowledge. Hence, existing laws and norms (including property rights) which have been established on the basis of discrete transactions and (...) monetary value-oriented exchange may not be adequate to deal with the whole spectrum of knowledge transfer. A model is needed to address transfer across a large heterogeneous network. We introduce the concept of sub-networks where tacit knowledge resides and argue that considering social norms underlying trust and other informal mechanisms provides a more suitable basis for understanding the exchange of tacit knowledge. Norm establishment is complicated by the fact that values differ across cultures; however, the social norms that underpin sub-networks can sustain knowledge transfer within them. The purpose of this conceptual article is to introduce the concept of sub-networks and to identify the sub-network/network relationship as an area in which it is necessary to look beyond property rights and raise the issue of norms. We believe that an analysis of the role of social norms in knowledge sub-networks and their interaction with global networks points to a key element in understanding networks and any emerging theory of network ethics in the twenty-first century. (shrink)

The purpose of this chapter is to outline some of the thinking behind new e-learning technology, including e-portfolios and personal learning environments. Part of this thinking is centered around the theory of connectivism, which asserts that knowledge - and therefore the learning of knowledge - is distributive, that is, not located in any given place (and therefore not 'transferred' or 'transacted' per se) but rather consists of the network of connections formed from experience and interactions with a (...) knowing community. And another part of this thinking is centered around the new, and the newly empowered, learner, the member of the net generation, who is thinking and interacting in new ways. These trends combine to form what is sometimes called 'e-learning 2.0' - an approach to learning that is based on conversation and interaction, on sharing, creation and participation, on learning not as a separate activity, but rather, as embedded in meaningful activities such as games or workflows. (shrink)

We describe and try to motivate our project to build systems using both a knowledge based and a neural network approach. These two approaches are used at different stages in the solution of a problem, instead of using knowledge bases exclusively on some problems, and neural nets exclusively on others. The knowledge base (KB) is defined first in a declarative, symbolic language that is easy to use. It is then compiled into an efficient neural network (...) (NN) representation, run, and the results from run time and (eventually) from learning are decompiled to a symbolic description of the knowledge contained in the network. After inspecting this recovered knowledge, a designer would be able to modify the KB and go through the whole cycle of compiling, running, and decompiling again. The central question with which this project is concerned is, therefore, How do we go from a KB to an NN, and back again? We are investigating this question by building tools consisting of a repertoire of language/translation/network types, and trying them on problems in a variety of domains. (shrink)

Enterprise Network has increasingly gained popularity in academia. Over the past few decades, a substantial amount of EN studies have been published in China. Drawing upon a sample of 603 papers retrieved from the Chinese Social Sciences Citation Index database between 1998 and 2020, this study aims to delve into the status quo, knowledge base, research focus, and evolutionary trends of EN research in China. A multifaceted bibliometric analysis was performed using CiteSpace. The findings mainly indicate that the (...) research on EN in China has a clear development context, and the research content gradually changes from macro to micro. In addition to foreign Social Network theories, the research results of domestic scholars have become the basic knowledge in this field. The research includes these topics: the conceptualization of EN, EN as indicators of enterprise development, EN’s impact on start-ups, mechanisms of EN’s effect and governance of EN. The potential direction for future research has been identified as the integration between EN and other forms of networks, and the structure of EN. (shrink)

Shared conceptualization, in the sense we take it here, is as recent a notion as the Semantic Web, but its relevance for a large variety of fields requires efficient methods of extraction and representation for both quantitative and qualitative data. This notion is particularly relevant for the investigation into, and construction of, semantic structures such as knowledge bases and taxonomies, but given the required large, often inaccurate, corpora available for search we can get only approximations. We see fuzzy description (...) logic as an adequate medium for the representation of human semantic knowledge and propose a means to couple it with fuzzy semantic networks via the propositional Łukasiewicz fuzzy logic such that these suffice for decidability for queries over a semantic-knowledge base such as “to what degree of sharedness does it entail the instantiation C(a) for some concept C” or “what are the roles R that connect the individuals a and b to degree of sharedness ε.” . (shrink)

A defining characteristic of Alzheimer’s disease is difficulty in retrieving semantic memories, or memories encoding facts and knowledge. While it has been suggested that this impairment is caused by a degradation of the semantic store, the precise ways in which the semantic store is degraded are not well understood. Using a longitudinal corpus of semantic fluency data, we derive semantic network representations of patients with Alzheimer’s disease and of healthy controls. We contrast our network-based approach with analyzing (...) fluency data with the standard method of counting the total number of items and perseverations in fluency data. We find that the networks of Alzheimer’s patients are more connected and that those connections are more randomly distributed than the connections in networks of healthy individuals. These results suggest that the semantic memory impairment of Alzheimer’s patients can be modeled through the inclusion of spurious associations between unrelated concepts in the semantic store. We also find that information from our network analysis of fluency data improves prediction of patient diagnosis compared to traditional measures of the semantic fluency task. (shrink)

The paper focuses on knowledge generation, a topic frequently overlooked in the traditional debates in epistemology and philosophy of science. We focus on investigation as the primary process generating knowledge and its products. Investigation is taken as a generalization of the research process that includes similar knowledge-generating practices in aboriginal communities. To characterize the complexity of investigation processes and their products we go beyond traditional epistemological characterization of knowledge in terms of mental states and turn to (...) the concept of routine. Investigation processes share a common symbolic representation form which we call here a knowledge thread. The dynamics of the knowledge thread may be characterized by two intertwined tiers: cognitive and institutional. Using examples from our previous studies, especially on the recent discovery of microRNAs in molecular biology, we illustrate the dynamics of threads and claim that it is susceptible to the social network analysis which, however, requires insightful applications and sound interpretation of the results. Such an interpretation, as we suggest, may further be elaborated on the grounds of anthropological theories of distributed agency and distributed cognition. (shrink)

This contribution seeks to understand the pervasive phenomenon of work compulsion among knowledge workers in our present network society. Knowledge workers not only have to work all the time from anywhere, but they also appear to want to. This study argues that this curious phenomenon may be attributed to the thumotic satisfaction that knowledge work generates. What is more, the neoliberal theory of human capital has found a way to harness thumotic satisfaction to the profit incentive, (...) and has created arguably the most productive working subject to date. The argument is divided into four parts: First, the paper analyses the government(- ality) of control operative in the network society by defining “neoliberalism”. It then focuses on Foucault’s examinations of German and American neoliberalism in the 20th century, treating them as instances of governmentality. The aim is to assess whether employing a governmentality lens is a valid approach for critically analysing present-day neoliberalism. If it proves justifiable, which I argue it does, the study explores the potential valuable insights gained from examining contemporary neoliberalism through this particular analytical framework. Second, the study turns to the “spiritedness” of knowledge workers under the conditions of stealth control that typify the neoliberal network society. Curiously, these highly engaged workers have reportedly experienced increased overall well-being. However, their overinvestment in work appears to be disproportionate to absolute necessity, increased earnings or improved overall quality of life. This paper contends that work compulsion generates and is in turn fuelled by thumotic satisfaction. Third, the study tries to ascertain the connection between neoliberal governmentality and thumos. Neoliberal governmentality appears to have found a way to appropriate thumotic satisfaction to produce and sustain the competitive entrepreneurial spirit. The fourth part of the study considers how the knowledge worker might resist the compulsion to work incessantly. (shrink)

Promoting clinicians’ knowledge sharing of appropriate health technology within the integrated care system is of great vitality in bridging the technological gap between member institutions. However, the role of social networks in knowledge sharing of health technology is still largely unknown. To address this issue, the study aims to clarify the influence of clinicians’ social networks on knowledge sharing of health technology within the ICS. A questionnaire survey was conducted among the clinicians in the Alliance of Liver (...) Disease Specialists in Fujian Province, China. Social network analysis was conducted using NetDraw and UCINET, and the quadratic assignment procedure multiple regression was used to analyze the influencing factors of knowledge sharing of health technology. The results showed that the ICS played an insufficient role in promoting overall knowledge sharing, especially inter-institutional knowledge sharing. Trust, emotional support, material support, and cognitive proximity positively influenced knowledge sharing of health technology, while the frequency of interaction and relationship importance had a negative impact on it. The finding extended the research scope of social network theory to the field of healthcare and will bridge the evidence gap in the influence of the clinicians’ social networks on their knowledge sharing within the ICS, providing new ideas to boost knowledge sharing and diffusion of appropriate health technology. (shrink)

The purpose of this paper is to present a formal model of social net- works suitable for studying questions in social epistemology. We show how to use this model, in conjunction with a computer program for simulating groups of inquirers, to draw conclusions about the epistemological prop- erties of different social practices. This furnishes us with the beginnings of a systematic research program in social epistemology, from which to approach problems pertaining to epistemic value, optimal organization, and the dynamics of (...) multi-agent inquiry. (shrink)

This book addresses the various systems in place for collaborative e-research and how these practices serve to enhance the quality of research across disciplines, covering new networks available through social media as well as traditional methods such as mailing lists and forums.

Adaptation to changing and new environmental conditions is of fundamental importance to sustainability and requires concerted efforts amongst science, policy, and practice to produce solution-oriented knowledge. Joint knowledge production or co- production of knowledge has become increasingly popular terms to describe the process of scientists, policy makers and actors from the civil society coming together to cooperate in the production, dissemination, and application of knowledge to solve wicked problems such as climate change. Networks are particularly suited (...) to produce knowledge in a joint fashion. However, the process of joint knowledge production (JKP) in networks has rarely been examined. In this paper, we present a sketch of the adaptation network landscape and assess how joint knowledge production supports the development of solution-oriented knowledge in climate change adaptation networks. We conclude that the processes of JKP are diverse, complex, and highly dependent on the interests and roles of actors within the network. To keep such processes alive, signposts in form of analysis and intermediary products along the network lifetime should be positioned as means of stocktaking and monitoring for the future. (shrink)

The dynamics of knowledge transmission and acquisition, or how different aspects of culture are passed from one individual to another and how they are acquired and embodied by individuals, are central to understanding cultural evolution. In small-scale societies, cultural knowledge is largely acquired early in life through observation, imitation, and other forms of social learning embedded in daily experiences. However, little is known about the pathways through which such knowledge is transmitted, especially during middle childhood and adolescence. (...) This study presents new empirical data on cultural knowledge transmission during childhood. Data were collected among the Baka, a forager-farmer society in southeastern Cameroon. We conducted structured interviews with children between 5 and 16 years of age about group composition during subsistence activities. Children’s groups were generally diverse, although children tended to perform subsistence activities primarily without adults and with same-sex companions. Group composition varied from one subsistence activity to another, which suggests that the flow of knowledge might also vary according to the activity performed. Analysis of the social composition of children’s subsistence groups shows that vertical and oblique transmission of subsistence-related knowledge might not be predominant during middle childhood and adolescence. Rather, horizontal transmission appears to be the most common knowledge transmission strategy used by Baka children during middle childhood and adolescence, highlighting the importance of other children in the transmission of knowledge. (shrink)

The vigorous development of online education has produced massive amounts of education data. How to mine and analyze education big data has become an urgent problem in the field of education and big data knowledge engineering. As for the dynamic learning data, knowledge tracing aims to track learners’ knowledge status over time by analyzing the learners’ exercise data, so as to predict their performance in the next time step. Deep learning knowledge tracking performs well, but they (...) mainly model the knowledge components while ignoring the personalized information of questions and learners, and provide limited interpretability in the interaction between learners’ knowledge status and questions. A context-aware attentive knowledge query network model is proposed in this paper, which combines flexible neural network models with interpretable model components inspired by psychometric theory. We use the Rasch model to regularize the embedding of questions and learners’ interaction tuples, and obtain personalized representations from them. In addition, the long-term short-term memory network and monotonic attention mechanism are used to mine the contextual information of learner interaction sequences and question sequences. It can not only retain the ability to model sequences, but also use the monotonic attention mechanism with exponential decay term to extract the hidden forgetting behavior and other characteristics of learners in the learning process. Finally, the vector dot product is used to simulate the interaction between the learners’ knowledge state and questions to improve the interpretability. A series of experimental results on 4 real-world online learning datasets show that CAKQN has the best performance, and its AUC value is improved by an average of 2.945% compared with the existing optimal model. Furthermore, the CAKQN proposed in this paper can not only track learners’ knowledge status like other models but also model learners’ forgetting behavior. In the future, our research will have high application value in the realization of personalized learning strategies, teaching interventions, and resource recommendations for intelligent online education platforms. (shrink)

This article focuses on the micro-level phenomena related to emergent ways of organizing. It explores how new ways of organizing might be enabled or inhibited through the networking activities and knowledge flows that organizational members engage in within a multinational business organization after the set-up of an innovative Internet business unit. The article considers innovation and networking as social practices mediated in this particular case study through knowledge-sharing activities. This perspective on innovation, networking, and knowledge leads to (...) a conceptualization of organizations that stresses their inherent complexity and their interactive and co-evolving nature with their environments. (shrink)

The scale of know­ledge is growing rapidly in the big data environment, and traditional know­ledge organization and services have faced the dilemma of semantic inaccuracy and untimeliness. From a know­ledge fusion perspective-combining the precise semantic superiority of traditional ontology with the large-scale graph processing power and the predicate attribute expression ability of property graph-this paper presents an ontology and property graph fusion framework (OPGFF). The fusion process is divided into content layer fusion and constraint layer fusion. The result of the (...) fusion, that is, the know­ledge representation model is called know­ledge big graph. In addition, this paper applies the know­ledge big graph model to the ownership network in the China’s financial field and builds a financial ownership know­ledge big graph. Furthermore, this paper designs and implements six consistency inference algorithms for finding contradictory data and filling in missing data in the financial ownership know­ledge big graph, five of which are completely domain agnostic. The correctness and validity of the algorithms have been experimentally verified with actual data. The fusion OPGFF framework and the implementation method of the know­ledge big graph could provide technical reference for big data know­ledge organization and services. (shrink)

Las redes sociales asociadas al conocimiento resultan de interés tanto a los estudios en Ciencia Tecnología y Sociedad, como al desenvolvimiento del pensamiento de la complejidad que se desarrolla en el país. Su análisis explica la naturaleza social de la producción científica y la existencia del capital social, cuyas características se vinculan con la satisfacción y resolución de las necesidades sociales dentro de la población cubana. Se muestra una red, conformada en torno a la Publicación Archivo Médico de Camagüey, durante (...) los años 2003, 2004 y dos bimestres del 2005 sobre el desenvolvimiento de las co autorías dentro de ella. Delineando en qué forma los investigadores se relacionaron entre sí, para valorar algunos de sus resultados. Se describen, los grupos esenciales de investigación y sus principales fortalezas. Constituye una herramienta de trabajo, al exponer los cambios que están ocurriendo en torno a la Universidad Médica Camagüeyana The social networks associated to human knowledge are useful to the studies in Science Technology and Society. Their analysis explains the social nature of the scientific production and the existence of social resources, which link the satisfaction and resolution of the social necessities inside the Cuban population. The characteristics of this networks conformed in Archivo Médico de Camagüey publication on the development of co authorship from 2003 to 2005 were presented in this article. The researchers were related to each other in this work to value in which way they function together and analyze some of their results. The essential groups of investigation and their main strengths were also described. It constitutes a work tool for further research works, to considering the changes that are happening about the scientific knowledge production in Camagüey University of Medicine. (shrink)

Neural activity and social activity share close parallels, particularly the fact that spontaneous adaptations are paramount in both realms. Environmental pressures require organisms and societies to adapt to new and uncertain situations. Adaptations create, respectively, stronger neural and social networks that may, in turn, make the system more resilient to future uncertainties—but only if the adaptations are beneficial to the system.

Neural activity and social activity share close parallels, particularly the fact that spontaneous adaptations are paramount in both realms. Environmental pressures require organisms and societies to adapt to new and uncertain situations. Adaptations create, respectively, stronger neural and social networks that may, in turn, make the system more resilient to future uncertainties—but only if the adaptations are beneficial to the system.

This article examines the UNESCO Convention on Intangible Cultural Heritage. It accepts the general case made by UNESCO, but urges greater attention to the ‘real-world’ knowledge of ordinary people. The paper rejects taxonomies of knowledge based on metaphysical discussions of knowing. Instead, it argues for an approach to knowledge based on the social production of ‘knowledge acts’. It concludes by asserting that support for the diversity of social enactment of knowledge could have valuable outcomes in (...) the form of new ways of understanding new and emerging technologies. (shrink)

This article explores the activities of the Society of Apothecaries and its members following the foundation of a laboratory for manufacturing chemical medicines in 1672. In response to political pressures, the guild created an institutional framework for production which in time served its members both functionally and financially and established a physical site within which the endorsement of practical knowledge could take place. Demand from state and institutional customers for drugs produced under corporate oversight affirmed and supported the society's (...) trading role, with chemical and pharmaceutical knowledge utilized to fulfil collective and individual goals. The society benefited from the mercantile interests, political connections and practical expertise of its members, with contributions to its trading activities part of a much wider participation in London's medical, scientific and commercial milieu. Yet, as apothecaries became increasingly engaged in the practice of medicine rather than the preparation and sale of drugs, the society struggled to reconcile the changing priorities of those it represented, and tensions emerged between its corporate and commercial activities. (shrink)

This is an introduction to the topical collection Microbes, Networks, Knowledge: Disease Ecology in the twentieth Century, based on a workshop held at Queen Mary, University London on July 6–7 2016. More than twenty years ago, historian of science and medicine Andrew Mendelsohn asked, “Where did the modern, ecological understanding of epidemic disease come from?” Moving beyond Mendelsohn’s answer, this collection of new essays considers the global history of disease ecology in the past century and shows how epidemics and (...) pandemics have made “microbes complex”. (shrink)

Indicators of the reliability of informants are essential for social learning in a society that is initially dominated by ignorance or superstition. Such reliability indicators should be based on meta-induction over records of truth-success. This is the major claim of this paper, and it is supported in two steps. One needs a non-circular justification of the method of meta-induction, as compared to other learning methods. An approach to this problem has been developed in earlier papers and is reported in section (...) 2. It is based on the predictive optimality of meta-inductive learning, under the assumption that objective success records are globally available. The rest of the paper develops an extension of this approach, so-called local meta-induction. Here individuals can access only success records of individuals in their immediate epistemic neighborhood. It is shown that local meta-inductive learning can spread reliable information over the entire population, and has clear advantages compared to success-independent social learning methods such as peer-imitation and authority-imitation.Send article to KindleTo send this article to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle. Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply. Find out more about the Kindle Personal Document Service.META-INDUCTION IN EPISTEMIC NETWORKS AND THE SOCIAL SPREAD OF KNOWLEDGEVolume 9, Issue 2Gerhard SchurzDOI: https://doi.org/10.1017/epi.2012.6Your Kindle email address Please provide your Kindle [email protected]@kindle.com Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Send article to Dropbox To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to Dropbox. META-INDUCTION IN EPISTEMIC NETWORKS AND THE SOCIAL SPREAD OF KNOWLEDGEVolume 9, Issue 2Gerhard SchurzDOI: https://doi.org/10.1017/epi.2012.6Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Send article to Google Drive To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to Google Drive. META-INDUCTION IN EPISTEMIC NETWORKS AND THE SOCIAL SPREAD OF KNOWLEDGEVolume 9, Issue 2Gerhard SchurzDOI: https://doi.org/10.1017/epi.2012.6Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Export citation Request permission. (shrink)

Through structural analysis of 8-year tag networks from online knowledge-sharing platforms, this study finds that, with the scale of tag networks growing quickly, the growth trend of number edges indicates that tag network follows densification law. The clustering coefficient and the average shortest path of the network show that the rapid growth of network size does not bring about the compartmentalization of the knowledge network, and the degree distribution of tag networks shows a truncated (...) power-law distribution. According to the structural characteristics of the tag network, this study proposes a tag network model based on the BA model. Based on the preference attachment, the triadic closure mechanism is employed to construct the edges between the old nodes, which revises the limitation that the BA model only connects edges between old and new nodes. The results show that the simulation model matches the actual tag network structure well. The generation mechanism of the tag network model provides a reference for understanding the knowledge construction process of the online knowledge-sharing platform to a certain extent. (shrink)

ABSTRACTEmotion understanding, which can broadly be defined as expertise in the meaning of emotion, is a core component of emotional intelligence and facilitates better intra- and interpersonal outcomes. However, to date only very few standard tests to measure emotion understanding in healthy adults exist. Here, we present two new performance-based tests that were developed and are scored based on componential emotion theory and large-scale cross-cultural empirical findings. These instruments intend to measure facets of emotion understanding that are not included in (...) existing tests. The first test measures the ability to understand and label emotional experiences of a target person from a description of emotion features covering five emotion components embedded in a written vignette. The second test measures semantic knowledge about which features from each component a... (shrink)

Knowledge has become an important resource that can help enterprises gain a competitive advantage in the market. In this regard, knowledge sharing in the process of cooperative innovation provides an important way to acquire knowledge. With the development of innovation, the innovation network has become an important carrier of knowledge sharing, which can also have an influence on knowledge sharing. Based on knowledge management theory and complex network theory, this study constructed a (...) multilayer network environment for knowledge sharing. It then identified the network elements and knowledge-sharing paths that influence knowledge sharing from microperspectives and macroperspectives. On this basis, the effects of node cohesion and weak connection on knowledge sharing in small-world and scale-free topologies were analyzed by computer simulation. The results showed that, in an innovation network with a scale-free topology, cohesion and weak ties had a great influence on the average knowledge level and knowledge equilibrium. Meanwhile, in small-world topological innovation networks, a mixed path had the best promotion effect on network knowledge sharing. (shrink)