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Journal articles on the topic 'And network relationship'

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Published: 4 June 2021

Last updated: 1 February 2022

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1

Sun, Gengxin, Chih-Cheng Chen, and Sheng Bin. "Study of Cascading Failure in Multisubnet Composite Complex Networks." Symmetry 13, no. 3 (2021): 523. http://dx.doi.org/10.3390/sym13030523.

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Current research on the cascading failure of coupling networks is mostly based on hierarchical network models and is limited to a single relationship. In reality, many relationships exist in a network system, and these relationships collectively affect the process and scale of the network cascading failure. In this paper, a composite network is constructed based on the multisubnet composite complex network model, and its cascading failure is proposed combined with multiple relationships. The effect of intranetwork relationships and coupling relationships on network robustness under different i

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Fang, Gang, Qing Zhou, Jian Wu, and Xiaoguang Qi. "The relationship between network capabilities and innovation performance." Industrial Management & Data Systems 119, no. 8 (2019): 1638–54. http://dx.doi.org/10.1108/imds-02-2019-0060.

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Purpose Innovation networks provide an efficient mechanism for organizations to realize their potential for knowledge learning and innovation improvement. Firms situated within innovation networks require specific abilities to acquire the knowledge and the complementary assets that facilitate their innovation performance. Motivated by recent research studies in the area of social network and RBV, the purpose of this paper is to improve the understanding of the precise manner in which network capability affects a firm’s innovation performance. Design/methodology/approach Based on the data obtai

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Kabzeva, Aneta, Joachim Götze, and Paul Müller. "Model-Based Relationship Management for Service Networks." International Journal of Systems and Service-Oriented Engineering 5, no. 4 (2015): 104–32. http://dx.doi.org/10.4018/ijssoe.2015100105.

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With the broad adoption of service-orientation for the realization of business applications and their provisioning and usage over cloud infrastructures, the topology of the resulting service networks is becoming extremely complex. Due to the composition of services for value-added business capabilities and the reusability of a service in multiple compositions, the execution of one service often depends on other services and changes in its provisioning can affect the health of large parts of the service network. The lack of insight on the relationships between the network components makes the m

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Welles, Brooke Foucault, and Noshir Contractor. "Individual Motivations and Network Effects." ANNALS of the American Academy of Political and Social Science 659, no. 1 (2015): 180–90. http://dx.doi.org/10.1177/0002716214565755.

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This article explores the relative influence of individual and network-level effects on the emergence of online social relationships. Using network modeling and data drawn from logs of social behavior inside the virtual world Second Life, we combine individual- and network-level theories into an integrated model of online social relationship formation. Results reveal that time spent online and the network pressure toward balance (individuals tending to form relationships with others who have relationships in common) predict the emergence of online relationship ties, while gender, age, proximit

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Li, Ke, Hui-Jia Li, and Hao Wang. "Situation analysis of relationship in social networks based on link entropy." Modern Physics Letters B 29, no. 13 (2015): 1550061. http://dx.doi.org/10.1142/s021798491550061x.

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Since the existence of certain and uncertain characteristics of the relationships between nodes in social network, the study of social features is expanded by combining the set pair analysis and social computing. In this paper, a new method is created to describe nodes relationship situation in social network, i.e. set pair relationship situation, including generalized set pair relationship situation, generalized set pair close situation and generalized set pair loosen situation. In order to analyze the situation in social network, each kind of set pair relation situation are classified. Combi

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Bitters, Barry. "Spatial Relationship Networks: Network Theory Applied to GIS Data." Cartography and Geographic Information Science 36, no. 1 (2009): 81–93. http://dx.doi.org/10.1559/152304009787340142.

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Storey, Chris, Canan Kocabasoglu-Hillmer, Sinéad Roden, and Ko de Ruyter. "Governing embedded partner networks." International Journal of Operations & Production Management 38, no. 9 (2018): 1709–34. http://dx.doi.org/10.1108/ijopm-12-2016-0708.

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Purpose The complexity of supplier-partner networks in the information technology (IT) sector where large suppliers utilize thousands of authorized partners requires that organizations reconsider their approach to governing and managing the relationships involved. Traditional dyadic approaches to governance are likely to prove inadequate. The purpose of this paper is to investigate the relationship between network governance mechanisms and relationship performance. Specifically, the authors examine the contingent effect of certification of partners and the use of partner communities (as formal

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Pries, A. R., T. W. Secomb, and P. Gaehtgens. "Relationship between structural and hemodynamic heterogeneity in microvascular networks." American Journal of Physiology-Heart and Circulatory Physiology 270, no. 2 (1996): H545—H553. http://dx.doi.org/10.1152/ajpheart.1996.270.2.h545.

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The relationship between structural and hemodynamic heterogeneity of microvascular networks is examined by analyzing the effects of topological and geometric irregularities on network hemodynamics. Microscopic observations of a network in the rat mesentery provided data on length, diameter, and interconnection of all 913 segments. Two idealized network structures were derived from the observed network. In one, the topological structure was made symmetric; in another a further idealization was made by assigning equal lengths and diameters to all segments with topologically equivalent positions

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Dutta, Saurab, and Payel Roy. "Cluster Based Architecture and Algorithm to Improve the Design of Social Networks." International Journal of Virtual Communities and Social Networking 9, no. 3 (2017): 29–43. http://dx.doi.org/10.4018/ijvcsn.2017070103.

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In a social network people are connected by relationships, business purpose or transaction activity. The increasing demand of social network analysis and how to improve the architecture is of utmost importance for the organizations who are regularly trying to improve the service through social network analysis. Social network analysis views social relationship in terms of network theory. Social networks connect people at very low cost and this network acts as a customer relationship management tool for increasing sales of organization in terms of goods and services. Different models are propos

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Wang, Liu Yang, Yang Xin Yu, Lei Zhou, and Sheng Hua Jin. "Fuzzy Information Retrieval Method Based on Fuzzy-Valued Concept Networks." Applied Mechanics and Materials 530-531 (February 2014): 506–11. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.506.

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In order to reduce the time of fuzzy inference, the relevant matrices and the relationship matrices are used to constitute the fuzzy-valued concept networks. The elements of a relevant matrix represent the relevant degrees between concepts. The elements of a relationship matrix represent the relevant relationships between concepts. Fuzzy positive association relationship or fuzzy negative association relationship are used for formulating users queries in order to increase the flexibility of fuzzy information retrieval systems. Expanding the fuzzy-valued concept network architecture to the Inte

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Chamaratana, Thanapauge. "Endeavours: The Relationship in Social Network of Thai Student Labourers in Australia." GATR Global Journal of Business Social Sciences Review 8, no. 3 (2020): 144–52. http://dx.doi.org/10.35609/gjbssr.2020.8.3(1).

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Objective - This article aims to examine the relationship in the social network of Thai student labourers or special migrants known as “Thai-Aus labourers”, who are studying and working in Sydney, Australia. Methodology/Technique – Data was collected via in-depth interviews with 18 key Thai-Aus labourers in Sydney, Australia. These key informants were selected using the snowball technique. Content analysis was performed with the data based on the ATLAS.ti programme, and the social networks were analysed using the Ucinet and Netdraw programme. Finding – The results conclude that the relationshi

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Raissi, Mahin, and Robert Ackland. "Important relationships in a multilevel world: The role of network structure in explaining closeness of relationships and access to resources in later life." Journal of Social and Personal Relationships 38, no. 9 (2021): 2442–64. http://dx.doi.org/10.1177/02654075211009311.

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We examine why some relationships are more important than others, using a multilevel statistical model and data on personal networks of Australians 50 years and older, collected via a purpose-built Facebook application. While the network data were collected automatically, participants in our study provided data on the importance of their relationships, measured by perceived closeness and access to resources. We find that the information on how network members are connected with each other (network structure) provides powerful insights into what makes a relationship important. When importance i

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SULLIVAN, DIANE M. "ARE ENTREPRENEURS’ NETWORKS DYNAMIC? A REPLICATION STUDY TESTING CHANGES IN ENTREPRENEURS’ NETWORKS DURING NEW VENTURE DEVELOPMENT." Journal of Developmental Entrepreneurship 20, no. 03 (2015): 1550016. http://dx.doi.org/10.1142/s1084946715500168.

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Entrepreneurs’ networks are important for resource acquisition during early venturing. Interestingly, resource needs rapidly change during early venture development, which may necessitate a change in entrepreneurs’ networks. This study examines how the size of an early-stage entrepreneur’s network affects the subsequent structural (e.g., size) and content (e.g., knowledge diversity) character of their network. Additionally, how the strength of an early-stage entrepreneur’s network ties affects the subsequent structural (e.g., size and tie strength) and content (e.g., knowledge diversity) chara

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Tran, Tien-Dzung, and Yung-Keun Kwon. "The relationship between modularity and robustness in signalling networks." Journal of The Royal Society Interface 10, no. 88 (2013): 20130771. http://dx.doi.org/10.1098/rsif.2013.0771.

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Many biological networks tend to have a high modularity structural property and the dynamic characteristic of high robustness against perturbations. However, the relationship between modularity and robustness is not well understood. To investigate this relationship, we examined real signalling networks and conducted simulations using a random Boolean network model. As a result, we first observed that the network robustness is negatively correlated with the network modularity. In particular, this negative correlation becomes more apparent as the network density becomes sparser. Even more intere

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Wagner, Jenny, Oliver Lüdtke, Brent W. Roberts, and Ulrich Trautwein. "Who Belongs to Me? Social Relationship and Personality Characteristics in the Transition to Young Adulthood." European Journal of Personality 28, no. 6 (2014): 586–603. http://dx.doi.org/10.1002/per.1974.

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Not much is known about how social network characteristics change in the transition out of school and what role Big Five personality plays in this context. The aim of this paper was twofold. First, we explored changes in social network and relationship characteristics across the transition out of secondary school. Second, we examined within–person and between–person effects of personality on these social network changes. Results based on a series of multilevel models to a longitudinal sample of 2287 young adults revealed four main findings. First, social networks increased in size, and this in

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Cai, Meng, Haifeng Du, Chen Zhao, and Wei Du. "Relationship between employees’ performance and social network structure." Chinese Management Studies 8, no. 1 (2014): 85–108. http://dx.doi.org/10.1108/cms-09-2013-0156.

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Purpose – The aim of this paper, considering the two types of networks and the scope of power from structural holes, is to clarify the relationship between employees’ performance and their social network structure in Chinese small and medium enterprises from the whole-network perspective. The complicated relationship in Chinese culture requires human resource management (HRM) practitioners to be aware of the implications of social network. Design/methodology/approach – An empirical research approach is used in this paper. Using the cluster sampling method, authors collected 118 employees’ char

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Li, Shuohao, Min Tang, Jun Zhang, and Lincheng Jiang. "Attentive Gated Graph Neural Network for Image Scene Graph Generation." Symmetry 12, no. 4 (2020): 511. http://dx.doi.org/10.3390/sym12040511.

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Image scene graph is a semantic structural representation which can not only show what objects are in the image, but also infer the relationships and interactions among them. Despite the recent success in object detection using deep neural networks, automatically recognizing social relations of objects in images remains a challenging task due to the significant gap between the domains of visual content and social relation. In this work, we translate the scene graph into an Attentive Gated Graph Neural Network which can propagate a message by visual relationship embedding. More specifically, no

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Neyer, Franz J., and Daniel Voigt. "Personality and social network effects on romantic relationships: a dyadic approach." European Journal of Personality 18, no. 4 (2004): 279–99. http://dx.doi.org/10.1002/per.519.

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The quality of romantic relationships and their associations with both partners' personality traits and social networks were studied in 100 younger couples. The similarity of partners was modest with respect to personality traits, and moderate to large with respect to the perceived quality of the partner relationship and their social networks. While similarity in personality was unrelated to relationship quality, dyadic analyses showed that one's perceived quality of relationship was better predicted by one's own personality (i.e. actor effects) than by the personality of one's partner (i.e. p

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Belhe, U., and A. Kusiak. "Modeling Relationships Among Design Activities." Journal of Mechanical Design 118, no. 4 (1996): 454–60. http://dx.doi.org/10.1115/1.2826912.

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In this paper, a graph theoretic approach for transformation and analysis of a network of design activities with different types of logical relationships is presented. In addition to the AND type relationship, OR and EXCLUSIVE OR relationships may exist between design activities. This relationship is captured using the IDEF3 notation. The algorithm generates various alternative precedence networks and clusters of design activities in each of these precedence networks. These alternative transformations are further used to analyze the risk of violating the due date of the design activity network

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Ramia, Gaby, Roger Patulny, Greg Marston, and Kyla Cassells. "The Relationship between Governance Networks and Social Networks: Progress, Problems and Prospects." Political Studies Review 16, no. 4 (2017): 331–41. http://dx.doi.org/10.1177/1478929917713952.

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A governance networks literature that uses social network analysis has emerged, but research tends to be more technical than conceptual. This restricts its accessibility and usefulness for non-quantitative scholars and practitioners alike. Furthermore, the literature has not adequately appreciated the importance of informal networking for the effective operation of governance networks. This can hinder inter-disciplinary analysis. Through a critical review, this article identifies four areas of challenge for the governance networks literature and offers four corresponding, complementary sets of

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SHI, Xiu, Rui JING, Guang-ming HOU, and Jun-peng WANG. "Network Position Advantage and Technological Innovation of China’s New Energy Vehicle Based on the Perspective of Network Theory." Sustainability 11, no. 7 (2019): 2098. http://dx.doi.org/10.3390/su11072098.

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This paper attempts to explore the role of innovation networks in the new energy vehicle industry from the perspective of evolution, by integrating of the overall network and the entities’ microscopic features and designing relative variables. Based on market orientation theory social network analysis, the relationship between network location and technological niche and the role of the network relationship strength was examined through empirical data of China’s 2009–2017 patents for new energy vehicles. The results show that: (1) There is an inverted U-shaped relationship between the central

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Hu, Shao-Dong, and Si-Yan Chen. "Cultural beliefs, agency relationship, and network governance." Chinese Management Studies 9, no. 2 (2015): 176–96. http://dx.doi.org/10.1108/cms-03-2015-0054.

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Purpose – The purpose of this paper is to investigate the effects of cultural beliefs on governance in a business network without a legal institutional framework. Particular emphasis is placed on the cross-country remittance mail operating network in Chaoshan, China, during the period 1860-1949. This investigation builds on Greif’s business governance theory and develops an analytical framework that considers cultural beliefs, agency relationships and multilateral punishment mechanisms. Furthermore, it uses the institutional analysis method to identify the institutional factors that sustained

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Wang, Guanzheng, Rubin Wang, Wanzeng Kong, and Jianhai Zhang. "The Relationship between Sparseness and Energy Consumption of Neural Networks." Neural Plasticity 2020 (November 25, 2020): 1–13. http://dx.doi.org/10.1155/2020/8848901.

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About 50-80% of total energy is consumed by signaling in neural networks. A neural network consumes much energy if there are many active neurons in the network. If there are few active neurons in a neural network, the network consumes very little energy. The ratio of active neurons to all neurons of a neural network, that is, the sparseness, affects the energy consumption of a neural network. Laughlin’s studies show that the sparseness of an energy-efficient code depends on the balance between signaling and fixed costs. Laughlin did not give an exact ratio of signaling to fixed costs, nor did

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Windsor, Tim D., Pilar Rioseco, Katherine L. Fiori, Rachel G. Curtis, and Heather Booth. "Structural and functional social network attributes moderate the association of self-rated health with mental health in midlife and older adults." International Psychogeriatrics 28, no. 1 (2015): 49–61. http://dx.doi.org/10.1017/s1041610215001143.

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ABSTRACTBackground:Social relationships are multifaceted, and different social network components can operate via different processes to influence well-being. This study examined associations of social network structure and relationship quality (positive and negative social exchanges) with mental health in midlife and older adults. The focus was on both direct associations of network structure and relationship quality with mental health, and whether these social network attributes moderated the association of self-rated health (SRH) with mental health.Methods:Analyses were based on survey data

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Meqdadi, Osama, Thomas E. Johnsen, and Mark Pagell. "Relationship configurations for procuring from social enterprises." International Journal of Operations & Production Management 40, no. 6 (2020): 819–45. http://dx.doi.org/10.1108/ijopm-07-2019-0523.

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PurposeThis paper explores how the procurement function initiates and develops relationships with social enterprises that are intended to induce social impact in the supply networks of for-profit firms.Design/methodology/approachThe paper utilises an in-depth case study involving a focal company, first-tier supplier, nongovernmental organisation and four social enterprises.FindingsTension mitigation that arises between social and commercial logics occurs via individual relationships through building trust, dependency manipulation, monitoring and supplier development activities. Deeper insights

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Bi, Zhongqin, Lina Jing, Meijing Shan, Shuming Dou, and Shiyang Wang. "Hierarchical Social Recommendation Model Based on a Graph Neural Network." Wireless Communications and Mobile Computing 2021 (August 31, 2021): 1–10. http://dx.doi.org/10.1155/2021/9107718.

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With the continuous accumulation of social network data, social recommendation has become a widely used recommendation method. Based on the theory of social relationship propagation, mining user relationships in social networks can alleviate the problems of data sparsity and the cold start of recommendation systems. Therefore, integrating social information into recommendation systems is of profound importance. We present an efficient network model for social recommendation. The model is based on the graph neural network. It unifies the attention mechanism and bidirectional LSTM into the same

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Sahin, Fatih, and Kubra Yenel. "Relationship between enabling school structure, teachers' social network intentions and professional learning community." Research in Pedagogy 11, no. 1 (2021): 17–30. http://dx.doi.org/10.5937/istrped2101017s.

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This study aims to determine the relationships between enabling school structure, teachers' social network intentions and the professional learning community. This study used a structural equation modelling approach to investigate the relationships and implemented the appropriate sampling method. Survey data were obtained from 302 teachers working in the capital city of Turkey. Results show that teachers' perceptions of enabling school structure and social networking intentions among their colleagues are high, and their evaluations of forming a professional learning community are relatively lo

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Hewetson, Ronelle, Petrea Cornwell, and David H. K. Shum. "Relationship and Social Network Change in People With Impaired Social Cognition Post Right Hemisphere Stroke." American Journal of Speech-Language Pathology 30, no. 2S (2021): 962–73. http://dx.doi.org/10.1044/2020_ajslp-20-00047.

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Purpose This article investigated relationship and social network change in the presence of a social cognition impairment post right hemisphere (RH) stroke. Impaired emotion perception and inferential reasoning are sources of interpersonal difficulty in people with social cognition impairment after traumatic brain injury. People with an RH stroke have also been identified as vulnerable to interpersonal relationship change. However, the influence of impairments in particular domains of communication or cognition on relationship and social network maintenance is yet to be explored. Method A mult

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Abbas, Jaffar, Saqlain Raza, Mohammad Nurunnabi, Mohd Sobri Minai, and Shaher Bano. "The Impact of Entrepreneurial Business Networks on Firms’ Performance Through a Mediating Role of Dynamic Capabilities." Sustainability 11, no. 11 (2019): 3006. http://dx.doi.org/10.3390/su11113006.

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This precise study is the first to perform a focalized investigation on the relationship between entrepreneurial business networks and sustainable performance of small firms. The entrepreneurial business network is a multifaceted business network of business firms, working together to achieve business objectives. Business relationships and firm aggregations are the main categories of entrepreneurial business networks, which help small and medium-sized enterprises to become more dynamic, innovative and competitive. The entrepreneurial business network is a networking, which provides a platform

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Chen, Lei, and Luyang Zhang. "Analysis Method of Enterprise Network Relationship Based on Graph Theory." International Journal of Economics and Financial Research, no. 61 (January 25, 2020): 5–13. http://dx.doi.org/10.32861/ijefr.61.5.13.

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Network relationship is positively correlated with enterprise development and performance, which is an important basis for studying enterprise development and judging enterprise development situation. In this paper, complex network theory and methods are used to study enterprise network relationships. Based on graph theory, a graph model of enterprise network relationships is constructed, and the Laplacian matrix of the graph model is used to analyze important indicators of network relationships, relationship strength, stability, reciprocity, centrality and other indicators of numerical analys

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Saffer, Adam J., Aimei Yang, and Maureen Taylor. "Reconsidering Power in Multistakeholder Relationship Management." Management Communication Quarterly 32, no. 1 (2017): 121–39. http://dx.doi.org/10.1177/0893318917700510.

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Multistakeholder issue networks have been characterized as power-free, egalitarian forms of corporate–civil society engagement. Using a communication-centered conceptualization of power, our study finds that potential sources of power subtly manifest through communication and interaction patterns in multistakeholder issue networks. Our results indicate that organizations’ institutional status and resources are significant predictors of network power.

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VAALAND, TERJE I., SHARON PURCHASE, and DOINA OLARU. "WHEN TECHNO-INNOVATIVE RELATIONSHIPS BREAK UP WHAT HAPPENS TO THE NETWORK?" International Journal of Innovation and Technology Management 02, no. 03 (2005): 293–312. http://dx.doi.org/10.1142/s0219877005000496.

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The aim of the paper is to explore how relationship ending between business partners contributes to changes in the structure of a technology based network. By studying how network structure is affected by the break-up of dyadic actor bonds, we seek to understand the stability of network positions. The study is empirically based on an organized industrial network, which focuses on market and technological innovation within the Norwegian oil and gas industry. We simulated relationship ending between companies and observed that the "disengaging" parties move towards the periphery of the network.

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Regts, Gerdien, Eric Molleman, and Hendrik Johan van de Brake. "The impact of leader‒member exchange on follower performance in light of the larger social network." Human Relations 72, no. 8 (2018): 1265–91. http://dx.doi.org/10.1177/0018726718806351.

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Relationships with leaders do not happen in isolation from the relationships one has with one’s peers. Therefore, we examine the influence of leader‒member exchange on follower job performance in light of the larger social networks in which followers are embedded. Testing multilevel models with data that were gathered using questionnaires from a sample of 240 nurses and 20 supervisors working at four Dutch hospitals revealed that a positive relationship exists between leader‒member exchange and follower job performance when follower workflow network centrality and/or follower friendship networ

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Kito, Tomomi, Nagi Moriya, and Junichi Yamanoi. "Inter-organisational patent opposition network: how companies form adversarial relationships." Japanese Economic Review 72, no. 1 (2020): 145–66. http://dx.doi.org/10.1007/s42973-020-00057-5.

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AbstractMuch of the research on networks using patent data focuses on citations and the collaboration networks of inventors, hence regarding patents as a positive sign of invention. However, patenting is, most importantly, a strategic action used by companies to compete with each other. This study sheds light on inter-organisational adversarial relationships in patenting for the first time. We constructed and analysed the network of companies connected via patent opposition relationships that occurred between 1980 and 2018. A majority of the companies are directly or indirectly connected to ea

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León, Carlos, and Javier Miguélez. "Interbank relationship lending: A network perspective." Physica A: Statistical Mechanics and its Applications 573 (July 2021): 125922. http://dx.doi.org/10.1016/j.physa.2021.125922.

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Chen, Ying, Xiaohu Zhou, Guojun Yang, Jiani Bao, and Guan Wang. "Social networks as mediator in entrepreneurial optimism and new venture performance." Social Behavior and Personality: an international journal 45, no. 4 (2017): 551–62. http://dx.doi.org/10.2224/sbp.5924.

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Although findings reported in an increasing number of studies shed light on the relationship between optimism and entrepreneurial outcomes, little is known of the mechanisms by which entrepreneurial optimism influences new venture performance. Researchers have found that people who are highly optimistic build more extensive social networks than others do, which can influence the outcome of their efforts. In order to explore the relationships among entrepreneurial optimism, social networks, and new venture performance, we analyzed data obtained from 142 Chinese entrepreneurs. Results indicated

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Yang, Xing, Tingjun Yong, Meihua Li, Wenying Wang, Huichun Xie, and Jinping Du. "Relationship between Cognitive Learning Psychological Classification and Neural Network Design Elements." Complexity 2021 (February 27, 2021): 1–10. http://dx.doi.org/10.1155/2021/6625922.

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This article first analyzes the research background of the design elements of cognitive psychology and neural networks at home and abroad, roughly understands the research status and research background of these two courses at home and abroad, and discusses the application of cognitive psychology to neural networks. The design method has not yet formed a systematic theoretical system. Then, a systematic theoretical analysis of the research in this article is carried out to analyze the relationship between the various characteristics of cognitive psychology and the design elements of the neural

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YOSHIDA, Takahiro, Shun-ichi AZUMA, and Toshiharu SUGIE. "Relationship between Network Structure and Variety of Dynamics of Boolean Networks." Transactions of the Society of Instrument and Control Engineers 51, no. 3 (2015): 155–61. http://dx.doi.org/10.9746/sicetr.51.155.

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Liu, Liang, Min Zhao, Lixin Fu, and Jiming Cao. "Unraveling local relationship patterns in project networks: A network motif approach." International Journal of Project Management 39, no. 5 (2021): 437–48. http://dx.doi.org/10.1016/j.ijproman.2021.02.004.

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Kruger, L., and P. G. Mostert. "Young adults’ relationship intentions towards their cell phone network operators." South African Journal of Business Management 43, no. 2 (2012): 41–49. http://dx.doi.org/10.4102/sajbm.v43i2.182.

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Marketers use relationship marketing to establish mutually beneficial long-term relationships with their customers as a means to retain them in the competitive market environment. Relationship marketing should not be used to target every customer as not all customers want to build long-term relationships with organisations. In order to identify the most profitable customers for relationship marketing, organisations should consider their customers’ relationship intentions to form long-term relationships with them. The primary objective of this study was to determine young adults’ (aged 18 to 25

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Hutu, Raul Alexandru. "Understanding the Relationship Between Organizational Networking and Network Capability." Studia Universitatis „Vasile Goldis” Arad – Economics Series 25, no. 2 (2015): 54–62. http://dx.doi.org/10.1515/sues-2015-0012.

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Abstract Organizational networking refers to firms‘ behaviours as activities, routines, practices which enable an organization to make sense of and capitalize on their networks of direct and indirect business relationships. The relationships are more important today when the business environment is more competitive. The firms can develop their organizational networking strategies by developing their network capability which refers to its ability to build, handle and exploit relationships. These capabilities are included in a complex configuration with other capabilities and competencies. The a

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Martins, Saturnina Alves da Silva, Marcio C. Machado, Maciel M. Queiroz, and Renato Telles. "The relationship between quality and governance mechanisms." Benchmarking: An International Journal 27, no. 3 (2020): 1085–104. http://dx.doi.org/10.1108/bij-03-2019-0114.

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PurposeRecent literature has highlighted the importance of quality and governance in supply networks. Usually, the relationships between the actors are complex, comprising both formal and informal interactions. Despite recent advances in quality and governance in supply networks, extant literature highlights the lack of quality in healthcare supply-chain networks in relation to governance mechanisms. This paper aims to investigate the role of governance mechanisms and their influence on the quality of healthcare supply networks, and assumes that governance instruments can support quality perfo

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Usui, Shohei, Fujio Toriumi, Masato Matsuo, Takatsugu Hirayama, and Kenji Mase. "Greedy Network Growth Model of Social Network Service." Journal of Advanced Computational Intelligence and Intelligent Informatics 18, no. 4 (2014): 590–97. http://dx.doi.org/10.20965/jaciii.2014.p0590.

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As new network communication tools are developed, social network services (SNS) such as Facebook and Twitter are becoming part of a social phenomenon globally impacting on society. Many researchers are therefore studying the structure of relationship networks among users. We propose a greedy network growth model that appropriately increases nodes and links while automatically reproducing the target network. We handle a wide range of networks with high expressive ability. Results of experiments showed that we accurately reproduced 92.4% of 189 target networks from real services. The model also

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Wang, Yue, and Xiao Lin Liu. "A Novel Method for Mining the Advisor-Student Relationships in Academic Social Network." Advanced Materials Research 655-657 (January 2013): 1795–99. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.1795.

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Academic social network contains abundant knowledge about relationships among people or entities. Building the relationship between different entities correctly can help providing comprehensive services in the scientific research field. Unfortunately, some relationships, such as advisor-student relationship, are often hidden in academic social network, which are not explicitly categorized. Discovery of these relationships can benefit many valuable applications such as research community analysis. In this paper, a novel method based on Markov Logic Network is proposed to mine the advisor-studen

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Li, Min, Fangbin Xiao, Yang Cheng, Bi-Jun Xie, Chen-Yun Liu, and Baoni Xu. "Exploring the relationship between network position and innovation performance." Chinese Management Studies 14, no. 1 (2019): 93–111. http://dx.doi.org/10.1108/cms-10-2018-0717.

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Purpose This paper aims to attempt to explore the influence of network position on innovation performance, specifically for companies from a less-developed area in China. Design/methodology/approach The paper uses a social network analysis method based on the data of high and new tech companies from Jiangxi province, China. It relies on Ucinet 6.212 software for data processing. Findings The present work, on the one hand, reveals that a high and new tech company from Jiangxi province tends to achieve better innovation performances if it is in the central position of its social network. On the

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Stein, James B., Paul A. Mongeau, and Nikki I. Truscelli. "Identifying and measuring network-based relational uncertainty: Looking outside of the dyadic bubble." Journal of Social and Personal Relationships 37, no. 2 (2019): 491–515. http://dx.doi.org/10.1177/0265407519865022.

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Previous research has explored both relational uncertainty and the importance of partners’ social networks in the development of close relationships. Combining these concepts would better facilitate our understanding of relational development. Accordingly, this four-study identifies and creates a novel measure for social network-based relational uncertainty experienced by individuals in romantic relationships. Studies 1 and 2 reveal eight distinct categories of network uncertainty via open coding. Studies 3 and 4 use these categories to create a network uncertainty measure (NUM) and compare it

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Asamoah, David, Benjamin Agyei-Owusu, and Elizabeth Ashun. "Social network relationship, supply chain resilience and customer-oriented performance of small and medium enterprises in a developing economy." Benchmarking: An International Journal 27, no. 5 (2020): 1793–813. http://dx.doi.org/10.1108/bij-08-2019-0374.

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PurposeWhile the concept of supply chain resilience has received lots of scholarly and policy interest over the past few years, empirical research examining its sources and outcomes remains inadequate, particularly, in the context of small and medium enterprises (SMEs). Grounded in the resource-based view and social capital frameworks, the study examines the relationship between social network relationship, supply chain resilience and customer oriented performance.Design/methodology/approachThe study develops and empirically tests a research model that proposes social network relationships and

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Sorokin, Anatoly, Nicolas Le Novère, Augustin Luna, et al. "Systems Biology Graphical Notation: Entity Relationship language Level 1 Version 2." Journal of Integrative Bioinformatics 12, no. 2 (2015): 281–339. http://dx.doi.org/10.1515/jib-2015-264.

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Summary The Systems Biological Graphical Notation (SBGN) is an international community effort for standardized graphical representations of biological pathways and networks. The goal of SBGN is to provide unambiguous pathway and network maps for readers with different scientific backgrounds as well as to support efficient and accurate exchange of biological knowledge between different research communities, industry, and other players in systems biology. Three SBGN languages, Process Description (PD), Entity Relationship (ER) and Activity Flow (AF), allow for the representation of different asp

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Bandyopadhyay, Tridib. "Employing Cost Effective Internet-Based Networking Technologies to Manage B2B Relationship." International Journal of Risk and Contingency Management 1, no. 1 (2012): 12–28. http://dx.doi.org/10.4018/ijrcm.2012010102.

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Using Internet-based technologies to establish network connectivity between firms can create conduit for propagation of threat vectors. Sharing data and information assets with other firms may give rise to external seats of loss exposure. Together, these practices complicate the IT security risk in business relationship: misaligned incentive for IT security investment and free rider behavior arise. Naïve pursuit to enter into business relationships using Internet-based technologies can prove myopic because the IT security risk profile of the resultant B2B network may be untenable. This researc

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Cristofoli, Daniela, Mattia Martini, Benedetta Trivellato, and Dario Cavenago. "Management and culture in successful networks." International Journal of Public Sector Management 33, no. 4 (2019): 381–400. http://dx.doi.org/10.1108/ijpsm-11-2018-0238.

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Purpose It is generally recognized that network management is a critical factor for network success. It is also acknowledged that different managerial behaviors are necessary in different network settings. Scholars have explored the relationships between network characteristics and managerial behaviors, but the role of network culture in influencing network managers’ activities remains under-investigated. The purpose of this paper is to address this gap. Design/methodology/approach The analysis is developed through a fuzzy-set qualitative comparative analysis of 18 country-based networks invol

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