scholarly journals Structural Analysis of Factual, Conceptual, Procedural, and Metacognitive Knowledge in a Multidimensional Knowledge Network

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-17 ◽  
Author(s):  
Đurđica Vukić ◽  
Sanda Martinčić-Ipšić ◽  
Ana Meštrović
Keyword(s):  
Knowledge Integration ◽  
Dominant Role ◽  
Cognitive Learning ◽  
Metacognitive Knowledge ◽  
Knowledge Network ◽  
Centrality Measures ◽  
Science Study ◽  
Multilayer Network ◽  
Network Layers ◽  
Knowledge Delivery

Discovering the most suitable network structure of the learning domain represents one of the main challenges of knowledge delivery and acquisition. We propose a multidimensional knowledge network (MKN) consisting of three components: multilayer network and its two projections. Each network layer constitutes factual, conceptual, procedural, or metacognitive knowledge within the domain of databases as a standard course of computer science study. In the MKN layer, nodes are concepts or knowledge units and the edges are weighted with regard to Bloom's cognitive learning level. The projected network layers are contrasted with a monolayer network by comparing characterizations of the centrality measures: degree centrality, closeness centrality, betweenness centrality, and eccentricity. The study revealed indications of how concepts, supported with the higher number of previously introduced concepts, have a dominant role in knowledge acquisition, from a view of knowledge structure and content. The analysis of communities, assortativity coefficient, and overlap between MKN layers contributes to better structuring of knowledge. MKN enables systematic insights into the efficiency of knowledge integration across metacognitive layers, as well as the detection of crucial cognitive concepts that reduce/increase the cognitive load during learning.

Centrality Measures

2018 ◽  
Author(s):  
Ginestra Bianconi
Keyword(s):  
State Of The Art ◽  
Centrality Measures ◽  
Eigenvector Centrality ◽  
Multilayer Networks ◽  
Comprehensive Description ◽  
Multilayer Network ◽  
Suitable Definition ◽  
Katz Centrality ◽  
Pagerank Centrality

Defining the centrality of nodes and layers in multilayer networks is of fundamental importance for a variety of applications from sociology to biology and finance. This chapter presents the state-of-the-art centrality measures able to characterize the centrality of nodes, the influences of layers or the centrality of replica nodes in multilayer and multiplex networks. These centrality measures include modifications of the eigenvector centrality, Katz centrality, PageRank centrality and Communicability to the multilayer network scenario. The chapter provides a comprehensive description of the research of the field and discusses the main advantages and limitations of the different definitions, allowing the readers that wish to apply these techniques to choose the most suitable definition for his or her case study.

scholarly journals Visualization of clinical teaching citations using social network analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hakimeh Hazrati ◽  
Shoaleh Bigdeli ◽  
Seyed Kamran Soltani Arabshahi ◽  
Vahideh Zarea Gavgani ◽  
Nafiseh Vahed
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Research Collaboration ◽  
Clinical Teaching ◽  
Clustering Coefficient ◽  
Knowledge Network ◽  
Research Network ◽  
Centrality Measures ◽  
The Usa

Abstract Background Analyzing the previous research literature in the field of clinical teaching has potential to show the trend and future direction of this field. This study aimed to visualize the co-authorship networks and scientific map of research outputs of clinical teaching and medical education by Social Network Analysis (SNA). Methods We Identified 1229 publications on clinical teaching through a systematic search strategy in the Scopus (Elsevier), Web of Science (Clarivate Analytics) and Medline (NCBI/NLM) through PubMed from the year 1980 to 2018.The Ravar PreMap, Netdraw, UCINet and VOSviewer software were used for data visualization and analysis. Results Based on the findings of study the network of clinical teaching was weak in term of cohesion and the density in the co-authorship networks of authors (clustering coefficient (CC): 0.749, density: 0.0238) and collaboration of countries (CC: 0.655, density: 0.176). In regard to centrality measures; the most influential authors in the co-authorship network was Rosenbaum ME, from the USA (0.048). More, the USA, the UK, Canada, Australia and the Netherlands have central role in collaboration countries network and has the vertex co-authorship with other that participated in publishing articles in clinical teaching. Analysis of background and affiliation of authors showed that co-authorship between clinical researchers in medicine filed is weak. Nineteen subject clusters were identified in the clinical teaching research network, seven of which were related to the expected competencies of clinical teaching and three related to clinical teaching skills. Conclusions In order to improve the cohesion of the authorship network of clinical teaching, it is essential to improve research collaboration and co-authorship between new researchers and those who have better closeness or geodisk path with others, especially those with the clinical background. To reach to a dense and powerful topology in the knowledge network of this field encouraging policies to be made for international and national collaboration between clinicians and clinical teaching specialists. In addition, humanitarian and clinical reasoning need to be considered in clinical teaching as of new direction in the field from thematic aspects.

scholarly journals Key Influencers in Public Diplomacy 2.0: A Country-Based Social Network Analysis

2021 ◽  
Vol 7 (1) ◽  
pp. 205630512098105
Author(s):  
Diana Ingenhoff ◽  
Giada Calamai ◽  
Efe Sevin
Keyword(s):  
New Media ◽  
Public Diplomacy ◽  
Qualitative Content Analysis ◽  
Dominant Role ◽  
Opinion Leaders ◽  
Centrality Measures ◽  
Political Actors ◽  
Step Flow ◽  
Twitter Users

This article presents a study of Twitter-based communication in order to identify key influencers and to assess the role of their communication in shaping country images. The analysis is based on a 2-month dataset comprised of all tweets including hashtags of the three countries selected for this study: Austria, Switzerland, and the Netherlands. Following a two-step flow model of communication, we initially identified the influential Twitter users in all three countries based on their centrality measures. Subsequently, we carried out a qualitative content analysis of tweets posted by these influential users. Finally, we assessed the similarities and differences across the three country cases. This article offers new insights into public diplomacy 2.0 activities by discussing influence within the context of country images and demonstrating how opinion leaders can play a more dominant role than states or other political actors in creating and disseminating content related to country image. The findings also provide practical insights in the production of a country’s image and its representation on new media platforms.

scholarly journals Features of Knowledge Building in Biology: Understanding Undergraduate Students’ Ideas about Molecular Mechanisms

2016 ◽  
Vol 15 (1) ◽  
pp. ar7 ◽  
Author(s):  
Katelyn Southard ◽  
Tyler Wince ◽  
Shanice Meddleton ◽  
Molly S. Bolger
Keyword(s):  
Undergraduate Students ◽  
Teaching And Learning ◽  
Knowledge Integration ◽  
Molecular Mechanisms ◽  
Knowledge Network ◽  
Cellular Biology ◽  
Student Reasoning ◽  
Integration Approach ◽  
Tentative Model ◽  
New Ideas

Research has suggested that teaching and learning in molecular and cellular biology (MCB) is difficult. We used a new lens to understand undergraduate reasoning about molecular mechanisms: the knowledge-integration approach to conceptual change. Knowledge integration is the dynamic process by which learners acquire new ideas, develop connections between ideas, and reorganize and restructure prior knowledge. Semistructured, clinical think-aloud interviews were conducted with introductory and upper-division MCB students. Interviews included a written conceptual assessment, a concept-mapping activity, and an opportunity to explain the biomechanisms of DNA replication, transcription, and translation. Student reasoning patterns were explored through mixed-method analyses. Results suggested that students must sort mechanistic entities into appropriate mental categories that reflect the nature of MCB mechanisms and that conflation between these categories is common. We also showed how connections between molecular mechanisms and their biological roles are part of building an integrated knowledge network as students develop expertise. We observed differences in the nature of connections between ideas related to different forms of reasoning. Finally, we provide a tentative model for MCB knowledge integration and suggest its implications for undergraduate learning.

scholarly journals Knowledge integration between technical change and strategy making

2020 ◽  
Author(s):  
Stefano Brusoni ◽  
Lorenzo Cassi ◽  
Simge Tuna
Keyword(s):  
Network Structure ◽  
Technical Change ◽  
Knowledge Integration ◽  
Structural Characteristics ◽  
Knowledge Network ◽  
Process Technology ◽  
Radical Process ◽  
Successful Strategy ◽  
Superior Knowledge ◽  
New Process

AbstractThis paper looks at the different strategies that two of the tire industry’s most prominent players, Pirelli and Michelin, deployed to exploit a radical process innovation: robotized, modular manufacturing. This paper argues that Pirelli, originally the technological follower, could develop a more nuanced, complex and ultimately successful strategy thanks to its superior knowledge integration capabilities. Empirically, we examine the structural characteristics and evolution of inventors’ networks in the two companies to reveal their knowledge integration capabilities. We apply the cohesive blocking method developed by White and Harary (Sociol Methodol 31(1):305–359, 2001) to argue that Pirelli, while relying on comparable skills in terms of technical fields, leveraged a more connected, cohesive and structured skills than Michelin. On this basis, it could develop and deploy a more complex strategy that better fit the characteristics of the new process technology. Pirelli’s knowledge network structure enhanced its knowledge integration capabilities and allowed for a more efficient fit between technology and strategy.

scholarly journals Hiding in Multilayer Networks

2020 ◽  
Vol 34 (01) ◽  
pp. 1021-1028
Author(s):  
Marcin Waniek ◽  
Tomasz Michalak ◽  
Talal Rahwan
Keyword(s):  
Social Networks ◽  
Network Topology ◽  
Centrality Measures ◽  
Multilayer Networks ◽  
Multilayer Network ◽  
Strategic Manipulation ◽  
Np Complete ◽  
Complex Relationships ◽  
Entire Network

Multilayer networks allow for modeling complex relationships, where individuals are embedded in multiple social networks at the same time. Given the ubiquity of such relationships, these networks have been increasingly gaining attention in the literature. This paper presents the first analysis of the robustness of centrality measures against strategic manipulation in multilayer networks. More specifically, we consider an “evader” who strategically chooses which connections to form in a multilayer network in order to obtain a low centrality-based ranking—thereby reducing the chance of being highlighted as a key figure in the network—while ensuring that she remains connected to a certain group of people. We prove that determining an optimal way to “hide” is NP-complete and hard to approximate for most centrality measures considered in our study. Moreover, we empirically evaluate a number of heuristics that the evader can use. Our results suggest that the centrality measures that are functions of the entire network topology are more robust to such a strategic evader than their counterparts which consider each layer separately.

scholarly journals PEMAHAMAN HADIS KONSERVASI LINGKUNGAN DAN INTERNALISASINYA PADA CIVITAS AKADEMIKA PROGRAM STUDI ILMU HADIS IAIN KEDIRI

ASKETIK ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 59-69
Author(s):  
Umi Hanik ◽  
Ibnu Hajar Ansori ◽  
A Zahid A Zahid
Keyword(s):  
Dominant Role ◽  
Academic Community ◽  
Environmental Conservation ◽  
Positive Behavior ◽  
Science Study ◽  
Study Program ◽  
Religious Texts ◽  
Religious Teaching ◽  
Green Campus ◽  
The Stability

As part of the ecological system, humans have a dominant role in determining the good and bad of the environment. The stability and comfort of the environment depend on the positive behavior around the elements of the ecosystem in it, including humans. The emergence of various environmental problems is also inseparable from human indiscipline in protecting and preserving them. An environment that is maintained properly, will respond positively by providing great benefits to humans. Otherwise, an environment that is treated badly will repay with damage and disaster. The leadership of the Faculty of Ushuluddin and Da'wah at IAIN Kediri was fully aware of this, especially the Hadith Science Study Program. This awareness forms a religious construction based on an understanding of religious texts, particularly Hadith. Through qualitative research, this reality will be described descriptively and analytically. The results illustrate that the epitome construction of environmental conservation activities is manifested in participation in the Green Campus program. The sociological construction contestation was seen in the leadership of the Hadith Science Study Program and the academic community for the absorption of religious teaching, thus generating practices in the form of involvement in tree and flower planting activities in the Faculty of Ushuluddin and Da'wah

Modelling Knowledge Production and Integration in Working Environments

2008 ◽  
pp. 294-310
Author(s):  
Piergiuseppe Morone ◽  
Richard Taylor
Keyword(s):  
Knowledge Production ◽  
Knowledge Integration ◽  
Formal Model ◽  
Dominant Role ◽  
Working Environment ◽  
Problem Complexity ◽  
Integration Process ◽  
Working Environments ◽  
Complex Knowledge ◽  
Do So

This chapter introduces a formal model of a complex knowledge integration process named ‘thinking along’. Here the firm is modelled as a working environment consisting of agents arranged into work-practices, which provide the context for their interactions. The objective of the simulations reported here is to compare two different practice structures and test their effectiveness for solving problems by thinking along. To do so we will also introduce the notion of problem complexity as the basis for different experiments. From such comparison it emerged that complex problems are better tackled when practices group together agents with disparate skills (i.e. divisional practices) whereas simple problems can be more effectively addressed by organisational practices composed of agents with similar skills (i.e. functional practices). In either case, the simulated knowledge integration process played the dominant role.

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