Journal articles: 'Linking networks'

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Dokman, Frans. "Linking Mission and Networks." International Review of Mission 109, no. 1 (May 2020): 125–34. http://dx.doi.org/10.1111/irom.12314.

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Thomas, Simone, Maike Scherrer-Rathje, Maria Fischl, and Thomas Friedli. "Linking network targets and site capabilities." International Journal of Operations & Production Management 35, no. 12 (December 7, 2015): 1710–34. http://dx.doi.org/10.1108/ijopm-10-2014-0464.

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Purpose – To cope with the increasing challenges of globalisation, various manufacturing companies have established intra-company manufacturing networks. The purpose of this paper is to link the strategic network targets (i.e. accessibility, thriftiness represented by economies of scale and economies of scope, mobility, and learning) with the capabilities and characteristics of the constituting sites of the manufacturing network and thus facilitate the identification of mismatches and the discussion of possible development paths for the network. Design/methodology/approach – The authors derive a conceptual framework from the literature which is tested with a single case; a manufacturing network consisting of eight manufacturing sites. Case data were collected based on 24 interviews with operations managers at network level and a standardised online survey among the sites’ management teams. Findings – Results indicate that manufacturing network and site levels need to be related when striving for a fit between manufacturing strategy, network strategy, and site capabilities and characteristics. Research limitations/implications – Single case studies have only limited generalisability. Nevertheless, the case demonstrates the usefulness of several dimensions when analysing manufacturing networks on site and network level. Originality/value – This paper represents the first attempt to link strategic targets of intra-company manufacturing networks with site capabilities and characteristics. Thereby, it provides a theoretical basis for future research on the relationship between strategic targets of manufacturing networks and their fulfilment. The developed manufacturing site portfolio, moreover, extends the site role typology discussion by a multi-dimensional perspective and represents a starting point for a multi-faceted discussion of site roles.

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TANG, LONGKUN, JUN-AN LU, JINHU LÜ, and XINGHUO YU. "BIFURCATION ANALYSIS OF SYNCHRONIZED REGIONS IN COMPLEX DYNAMICAL NETWORKS." International Journal of Bifurcation and Chaos 22, no. 11 (November 2012): 1250282. http://dx.doi.org/10.1142/s0218127412502823.

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This paper aims to investigate the bifurcation phenomena of synchronized regions in complex dynamical networks with varying node parameters and fixed inner-linking matrices. In particular, by using the unified chaotic system as network nodes, this paper further explores the bifurcation patterns of synchronized regions with synchronous states of both equilibrium points and attractors in complex dynamical networks based on two types of inner-linking matrices, respectively. Our results indicate that there does not exist any bifurcation phenomenon in the above synchronized regions for some specific inner-linking matrices. It means that the stability of network synchronous state will not change for some specific inner-linking matrices as the parameter of node dynamics changes. However, the above synchronized regions generate various bifurcation patterns for some inner-linking matrices and varying node parameters as follows: (i) The unbounded–empty set bifurcation mode; (ii) The bounded–empty set bifurcation mode; (iii) The single bounded–multiple bounded–single bounded–empty set bifurcation mode; (iv) The unbounded–multiple disconnected–empty set bifurcation mode. All these results tell us that the inner-linking matrices play a key role for determining the bifurcation patterns of synchronized regions.

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Zhang, Jinyan, Weigang Sun, Kai Fan, and Junbiao Guan. "Robustness of first-order coherence in duplex networks." Modern Physics Letters B 34, no. 24 (April 28, 2020): 2050259. http://dx.doi.org/10.1142/s0217984920502590.

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This paper investigates the robustness of first-order coherence characterized by the Laplacian spectrum in duplex networks with varying interlayer linking topologies and node connections of two layers under degree, closeness and eigenvector centrality indicators. The interlayer linking weight and linking rate play an important role in the coherence of duplex networks. The increasing larger linking weight and linking rate make the duplex networks more consensus. In addition, the positively, negatively and randomly correlated linking patterns display diverse consensus behaviors in duplex networks with different interlayer connections. Finally, the linking pattern under the eigenvector centrality has a profound impact on the coherence in the constructed duplex networks. The obtained results of duplex networks may help with a deeper understanding of consensus in multilayer networks.

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Shao, Fengjing, and Yi Sui. "Reorganizations of complex networks: Compounding and reducing." International Journal of Modern Physics C 25, no. 05 (March 11, 2014): 1440001. http://dx.doi.org/10.1142/s0129183114400014.

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Real networks interact with each other by different kinds of topological connections, which are usually demonstrated by linking nodes of different networks. Simple connection, such as one-to-one corresponding, random connection and similar connection are adopted for studying the interacted networks. Practical interrelations established between the two networks are ignored. In this study, a generalized framework of multi-subnet composited complex network that allowed us to investigate interrelations among several subnets is developed. Based on that, reorganizations of networks: compounding (compound subnets into a "bigger" one) and reducing (obtain a "smaller" network from a "bigger" one) are proposed. As an empirical evidence, influence of compounding on traffic dynamics is discussed. And the properties of nodes linking two networks are also considered. Onset of compounding between two networks is revealed. Numerical simulations on artificial networks as well as real bus and tube networks of Qingdao in China agree well with our analysis, which show validity of our model.

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Li, Haoqi, Brian Baucom, and Panayiotis Georgiou. "Linking emotions to behaviors through deep transfer learning." PeerJ Computer Science 6 (January 6, 2020): e246. http://dx.doi.org/10.7717/peerj-cs.246.

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Human behavior refers to the way humans act and interact. Understanding human behavior is a cornerstone of observational practice, especially in psychotherapy. An important cue of behavior analysis is the dynamical changes of emotions during the conversation. Domain experts integrate emotional information in a highly nonlinear manner; thus, it is challenging to explicitly quantify the relationship between emotions and behaviors. In this work, we employ deep transfer learning to analyze their inferential capacity and contextual importance. We first train a network to quantify emotions from acoustic signals and then use information from the emotion recognition network as features for behavior recognition. We treat this emotion-related information as behavioral primitives and further train higher level layers towards behavior quantification. Through our analysis, we find that emotion-related information is an important cue for behavior recognition. Further, we investigate the importance of emotional-context in the expression of behavior by constraining (or not) the neural networks’ contextual view of the data. This demonstrates that the sequence of emotions is critical in behavior expression. To achieve these frameworks we employ hybrid architectures of convolutional networks and recurrent networks to extract emotion-related behavior primitives and facilitate automatic behavior recognition from speech.

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Dorogovtsev, S. N., J. F. F. Mendes, and A. N. Samukhin. "Structure of Growing Networks with Preferential Linking." Physical Review Letters 85, no. 21 (November 20, 2000): 4633–36. http://dx.doi.org/10.1103/physrevlett.85.4633.

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Hislop, Donald, Sue Newell, Harry Scarbrough, and Jacky Swan. "Innovation and Networks: Linking Diffusion and Implementation." International Journal of Innovation Management 01, no. 04 (December 1997): 427–48. http://dx.doi.org/10.1142/s1363919697000218.

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This paper examines the appropriation of IT-based innovations within firms. It argues that such innovations represent a challenge to the tendency in the existing literature towards the analytical separation of diffusion and implementation as distinct theoretical domains. In contrast, this paper develops a more transcendent analysis of such innovations by focusing on the cognitive translations and appropriations which link idea generation, diffusion and implementation. This analysis identifies the processes linking wider inter-organisational diffusion networks and intra-firm distributions of expertise as playing a crucial role in the appropriation of innovation. We refer to these as processes of articulation: a formulation which leads to a reappraisal of the networking activities of boundary-spanning individuals.

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Baraitser, Paula, Gary Alessio, and Michael Brady. "Sexual health networks: linking providers for improvement." Journal of Family Planning and Reproductive Health Care 33, no. 3 (July 1, 2007): 193. http://dx.doi.org/10.1783/147118907781004778.

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ABE, SUMIYOSHI, and STEFAN THURNER. "HIERARCHICAL AND MIXING PROPERTIES OF STATIC COMPLEX NETWORKS EMERGING FROM FLUCTUATING CLASSICAL RANDOM GRAPHS." International Journal of Modern Physics C 17, no. 09 (September 2006): 1303–11. http://dx.doi.org/10.1142/s0129183106009837.

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The Erdös–Rényi classical random graph is characterized by a fixed linking probability for all pairs of vertices. Here, this concept is generalized by drawing the linking probability from a certain distribution. Such a procedure is found to lead to a static complex network with an arbitrary connectivity distribution. In particular, a scale-free network with the hierarchical organization is constructed without assuming any knowledge about the global linking structure, in contrast to the preferential attachment rule for a growing network. The hierarchical and mixing properties of the static scale-free network thus constructed are studied. The present approach establishes a bridge between a scalar characterization of individual vertices and topology of an emerging complex network. The result may offer a clue for understanding the origin of a few abundance of connectivity distributions in a wide variety of static real-world networks.

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Kim, Sunnam, Sho Moriya, Sakura Maruki, Tuyoshi Fukaminato, Tomonari Ogata, and Seiji Kurihara. "Adsorption and release on three-dimensional graphene oxide network structures." Royal Society Open Science 8, no. 5 (May 2021): 201585. http://dx.doi.org/10.1098/rsos.201585.

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In this study, three-dimensional network architectures are constructed using nano-sized graphene oxide (nGO) as the building block. The cross-linking reaction of nGO is conducted in sub-micrometre water droplets in an emulsion system to control the size of the networks by restricting the reaction space. Two types of three-dimensional GO networks with different cross-linking lengths were constructed, and their methyl orange adsorption and release behaviours were investigated under external stimuli, such as thermal treatment, ultrasonic wave treatment and near-infrared light irradiation.

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Wu, H. Denis, and Lei Guo. "Beyond Salience Transmission: Linking Agenda Networks Between Media and Voters." Communication Research 47, no. 7 (March 13, 2017): 1010–33. http://dx.doi.org/10.1177/0093650217697765.

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This study investigated the network agenda setting (NAS) model with data gathered from Taiwan’s 2012 presidential election. Networks of important objects and candidate attributes in the news were compared with the counterparts generated from public opinion. The overall correlation between the media and public network agendas was positive and significant, thus supporting the NAS model in a non-Western context. In addition, this study found that the NAS model offered more predictive power at the attribute than the object level. The effects of selective exposure in a partisan media system were also incorporated into the investigation. Results showed that partisan selective exposure did not lead to consistent findings about the accentuated association between like-minded media consumption and candidate evaluation.

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Wang, Xuzhong, Yan Liu, and Yu Nan. "A Stable-Matching-Based User Linking Method with User Preference Order." Mathematical Problems in Engineering 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/3247627.

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With the development of social networks, more and more users choose to use multiple accounts from different networks to meet their needs. Linking a particular user’s multiple accounts not only can improve user’s experience of the net-services such as recommender system, but also plays a significant role in network security. However, multiple accounts of the same user are often not directly linked to each other, and further, the privacy policy provided by the service provider makes it harder to find accounts for a particular user. In this paper, we propose a stable-matching-based method with user preference order for the problem of low accuracy of user linking in cross-media sparse data. Different from the traditional way which just calculates the similarity of accounts, we take full account of the mutual influence among multiple accounts by regarding different networks as bilateral (multilateral) market and user linking as a stable matching problem in such a market. Based on the combination of Game-Theoretic Machine Learning and Pairwise, a novel user linking method has been proposed. The experiment shows that our method has a 21.6% improvement in accuracy compared with the traditional linking method and a further increase of about 7.8% after adding the prior knowledge.

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Raul, Serrano, Acero Isabel, and Fernandez-Olmos Marta. "Networks and export performance of agri-food firms: New evidence linking micro and macro determinants." Agricultural Economics (Zemědělská ekonomika) 62, No. 10 (October 14, 2016): 459–70. http://dx.doi.org/10.17221/71/2015-agricecon.

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Introna, Lucas D., and Amy Gibbons. "Networks and Resistance: Investigating online advocacy networks as a modality for resisting state surveillance." Surveillance & Society 6, no. 3 (April 26, 2009): 233–58. http://dx.doi.org/10.24908/ss.v6i3.3283.

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This paper explores the network of relationships that emerge from the online activities of privacy advocates. It argues that this advocacy network, through its linking practices, may potentially become a network of meta-surveillance that has the potential to transcend the agency of the individual actors. By reducing the degrees of separation between the actors, through their linking practices, the network can foster links between different sets of data, create links between information about incidents, corroborate information (making it more credible), direct the attention of the public and the traditional media to particular state surveillance practices, and so forth. Through these linking practices the network can draw upon the emergent positive network externalities to realise an information politics that is beyond what any single actor can achieve. Through the use of social network analysis and a webometrics methodology (supported by web-based crawling applications) we attempt to reveal this emerging online advocacy network. Through our data collection and analysis we show that the online advocacy network seems somewhat fragmented with a relatively small but stable, and geographically biased, core. This tentative analysis and conclusion may have important implications for the way privacy advocates view their online practices.

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Huffman, Stephen Phillip. "Expert Networks: Linking Expert Mouths with Eager Ears." CFA Digest 41, no. 3 (August 2011): 44–45. http://dx.doi.org/10.2469/dig.v41.n3.40.

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Chen, Shaoqing, Huihui Long, Brian D. Fath, and Bin Chen. "Global Urban Carbon Networks: Linking Inventory to Modeling." Environmental Science & Technology 54, no. 9 (April 10, 2020): 5790–801. http://dx.doi.org/10.1021/acs.est.0c00965.

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Rouf-George, C., J. P. Munch, G. Beinert, F. Isel, A. Pouchelon, J. F. Palierne, F. Boué, and J. Bastide. "About “defects” in networks made by end-linking." Polymer Gels and Networks 4, no. 5-6 (January 1996): 435–50. http://dx.doi.org/10.1016/s0966-7822(96)00023-8.

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Alcántara, Julio M., and Pedro J. Rey. "Linking Topological Structure and Dynamics in Ecological Networks." American Naturalist 180, no. 2 (August 2012): 186–99. http://dx.doi.org/10.1086/666651.

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Ocker, Gabriel Koch, Krešimir Josić, Eric Shea-Brown, and Michael A. Buice. "Linking structure and activity in nonlinear spiking networks." PLOS Computational Biology 13, no. 6 (June 23, 2017): e1005583. http://dx.doi.org/10.1371/journal.pcbi.1005583.

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Hu, Hai-Bo, Jin-Li Guo, and Jun Chen. "Modeling online social networks based on preferential linking." Chinese Physics B 21, no. 11 (November 2012): 118902. http://dx.doi.org/10.1088/1674-1056/21/11/118902.

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Suárez, Laura E., Ross D. Markello, Richard F. Betzel, and Bratislav Misic. "Linking Structure and Function in Macroscale Brain Networks." Trends in Cognitive Sciences 24, no. 4 (April 2020): 302–15. http://dx.doi.org/10.1016/j.tics.2020.01.008.

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Werner, Thomas. "Regulatory networks: Linking microarray data to systems biology." Mechanisms of Ageing and Development 128, no. 1 (January 2007): 168–72. http://dx.doi.org/10.1016/j.mad.2006.11.022.

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Schwartz, Martin A., and Sanford J. Shattil. "Signaling networks linking integrins and Rho family GTPases." Trends in Biochemical Sciences 25, no. 8 (August 2000): 388–91. http://dx.doi.org/10.1016/s0968-0004(00)01605-4.

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Pippenger, Nicholas. "The Linking Probability of Deep Spider-Web Networks." SIAM Journal on Discrete Mathematics 20, no. 1 (January 2006): 143–59. http://dx.doi.org/10.1137/050624376.

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Gong, Qingyuan, Yang Chen, Jiyao Hu, Qiang Cao, Pan Hui, and Xin Wang. "Understanding Cross-Site Linking in Online Social Networks." ACM Transactions on the Web 12, no. 4 (November 6, 2018): 1–29. http://dx.doi.org/10.1145/3213898.

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Doreian, Patrick, and Kayo Fujimoto. "Identifying Linking-Pin Organizations in Inter-Organizational Networks." Computational & Mathematical Organization Theory 10, no. 1 (May 2004): 45–68. http://dx.doi.org/10.1023/b:cmot.0000032579.62046.0b.

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Wang, Chengyu, Xiaofeng He, and Aoying Zhou. "HEEL: exploratory entity linking for heterogeneous information networks." Knowledge and Information Systems 62, no. 2 (April 1, 2019): 485–506. http://dx.doi.org/10.1007/s10115-019-01354-1.

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Arenius, Pia, and Katja Laitinen. "Entrepreneurial Teams and the Evolution of Networks: A Longitudinal Study." International Journal of Entrepreneurship and Innovation 12, no. 4 (November 2011): 239–47. http://dx.doi.org/10.5367/ijei.2011.0054.

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To study the evolution of entrepreneurial networks, the authors followed a single firm for three years and collected data on changes in the discussion networks of the entrepreneurs. Whereas previous research has demonstrated the heterogeneity of networks between firms, this paper shows how entrepreneurs inside an organization differ in terms of networks and network resources. The authors combine the network data with qualitative interview data in an attempt to explain the observed individual-level differences. On the basis of the empirical material, they present a series of propositions linking individuals, entrepreneurial teams and network evolution.

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Kim, Hyoung-Yong. "Effects of Social Capital on Collective Action for Community Development." Social Behavior and Personality: an international journal 46, no. 6 (June 5, 2018): 1011–28. http://dx.doi.org/10.2224/sbp.7082.

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I applied a multilevel and multidimensional approach to assess the effects of social capital on collective action. Using data from a national survey on social capital in the United States, I tested the effects of individual-level social networks (bonding, bridging, and linking), community-level social trust, and cross-level interaction on residents' collective actions toward community development. Results from the hierarchical generalized linear model generally supported the network dynamic model, showing that social networks are critical to the underprivileged who lack resource mobilization opportunities. Specifically, the bridging and linking qualities of social networks produced a strong influence on collective action more than any other variable. However, the effect of community-level social trust was small and did not explain the extent to which individual-level social networks exerted influence on collective action.

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Gao, Hongwei, Han Qiao, Artem Sedakov, and Lei Wang. "A Dynamic Formation Procedure of Information Flow Networks." Journal of Systems Science and Information 3, no. 2 (April 25, 2015): 97–110. http://dx.doi.org/10.1515/jssi-2015-0097.

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AbstractA characterization of the equilibrium of information flow networks and the dynamics of network formation are studied under the premise of local information flow. The main result of this paper is that it gives the dynamic formation procedure in the local information flow network. The research shows that core-periphery structure is the most representative equilibrium network in the case of the local information flow without information decay whatever the cost of information is homogeneous or heterogeneous. If the profits and link costs of local information flow networks with information decay are homogeneous empty network and complete network are typical equilibrium networks, which are related to the costs of linking.

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Stone, John. "Professional Networks." Practicing Anthropology 15, no. 1 (January 1, 1993): 25–27. http://dx.doi.org/10.17730/praa.15.1.287x0777722017k4.

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My interest in anthropology has evolved into a career as a practicing anthropologist. In that process I have found the topically focused professional network to be an extremely valuable thread linking professional development and disciplinary advancement. Such networks provide an identity in the crowd—a sense of place and of belonging. They are sources of peer review and, hence, scientific security; they are significant mechanisms through which our work is disseminated both inside and outside the discipline; and they are generative and forward looking, as new faces appear in network lineages. Perhaps most alluring are their informality and accessibility. Because of these qualities, I suggest that training programs emphasize more formally how professional networks can be developed and strengthened throughout one's career as a practicing anthropologist.

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Telgkamp, Michael, Dirk Koschützki, Henning Schwöbbermeyer, and Falk Schreiber. "Community-based Linking of Biological Network Resources: Databases, Formats and Tools." Journal of Integrative Bioinformatics 4, no. 3 (December 1, 2007): 135–46. http://dx.doi.org/10.1515/jib-2007-71.

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Summary The analysis of biological networks is increasingly important in the life sciences and in particular in systems biology. Computer-based analysis tools are exploited for the investigation of these networks. However, to find relevant data sources can be a time-consuming task, access to information changes, frequently it is not obvious to a user which tools can be used in combination with specific data sources, and network data is often not available in a format directly usable by analysis tools.To assist in collecting information about biological network data sources, and to help in investigating possible combinations of data sources and analysis software, we created BiNCo-wiki. BiNCo-wiki is a wiki system that stores information related to biological networks and allows all users to add or modify this information in an easy way. The collaborative character of a wiki system supports easy sharing of information and allows the community-based extension of the information already stored in BiNCo-wiki. We describe the general structure and functionality of the system and its initial content. BiNCo-wiki is accessible, free of charge, at http://pgrc.ipk-gatersleben.de/BiNCO-wiki.

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HE, QUQIONG, SUDIPTA SARANGI, and ZHENGJIA SUN. "A NOTE ON ASYMMETRIES IN FRIENDSHIP NETWORKS." Singapore Economic Review 64, no. 03 (May 26, 2019): 799–811. http://dx.doi.org/10.1142/s0217590816500351.

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We generalize the analysis of Brueckner’s [(2006). Friendship networks. Journal of Regional Science, 847–865] friendship networks under different types of asymmetries. We first study cost asymmetries by allowing for cost-magnetic agents. These are players whose linking costs are the lowest. Next we focus on network-based asymmetries by allowing for knows-everyone agents. We identify conditions under which Nash networks are interlinked stars in both these cases. We also find that for asymmetric situations (whether in costs, values, or architectures), the equilibrium effort choices regarding the links between different types of agents are robust across the various friendship network models.

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Scherrer, Maike, and Patricia Deflorin. "Linking QFD and the manufacturing network strategy." International Journal of Operations & Production Management 37, no. 2 (February 6, 2017): 226–55. http://dx.doi.org/10.1108/ijopm-07-2014-0350.

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Purpose The purpose of this paper is to integrate the manufacturing site and network perspectives for the purposes of strategy fulfilment, which has rarely been jointly discussed. By doing this, the site and network perspectives are broken into their constituents and linked to one another. Design/methodology/approach The paper provides qualitative research; it conducts a comprehensive literature review and merges the results with the concept of the quality function deployment to link the relevant dimensions. The developed framework is discussed based on a single case study. Findings The proposed framework relates the network and site perspectives in different dimensions, which range from the strategic dimension to the network and site dimensions. The paper, furthermore, offers the groundwork of developing relationship maps of the site and network capabilities, network configuration and coordination, and the structural and infrastructural dimensions. Research limitations/implications The paper contains a single case study and lacks foundation with a broader data set. Practical implications The results support the decision-making process of the manufacturing network managers who assess, design, and develop their manufacturing networks and attempt to gain transparency by using different levels of analysis. Originality/value The paper is the first attempt to show how the different network and site capabilities contribute to strategy fulfilment, to link the configuration and coordination dimensions of the manufacturing network level, and to link the structural and infrastructural dimensions on the site level. Thus, the authors add to multilevel research in operations management because the authors provide a combined framework for the network- and site-level analysis.

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Granados, Alfredo, Francisco J. Martín-Carrasco, Silvestre García de Jalón, and Ana Iglesias. "Adaptation of irrigation networks to climate change: Linking robust design and stakeholder contribution." Spanish Journal of Agricultural Research 13, no. 4 (December 2, 2015): e1205. http://dx.doi.org/10.5424/sjar/2015134-7549.

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<p>Agriculture is a particularly sensitive sector to the potential impacts of climate change. Thus, irrigation infrastructure is required to be robust to cope with these potential threats. The objective of this research is designing more robust irrigation networks, considering cost and stakeholder contribution. To that end, the investigation was addressed in three phases: a sensitivity analysis to understand the effectiveness of the distinct variables, a cost-effectiveness analysis assessing their efficiency, and a global study of the most efficient variables to provide an insight into their function. The sensitivity analysis indicates that the networks oversized by means of the coefficient of utilisation or the factor of safety, behave better than those oversized via the continuous specific discharge; moreover, the degree of freedom has been shown ineffective. The cost-effectiveness analysis shows that the coefficient of utilisation and the factor of safety are the most efficient variables, as they introduced safety margin oversizing fewer network elements and to a lesser extent than the continuous specific discharge. It also shows that stakeholder contribution, conveyed as a reduction of the degree of freedom, plays an important role in the network’s adaptive capacity to change. The global study of these variables reveals the subtlety of the coefficient of utilisation, which is the variable that better reproduces the farmer behaviour during demand increase scenarios. In conclusion, the results identify the coefficient of utilisation as the variable which provides the safest margins and reveal the importance of stakeholder contribution in absorb the demand increase in a better manner.</p>

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Lalitha Sridhar, Shankar, and Franck Vernerey. "The Chain Distribution Tensor: Linking Nonlinear Rheology and Chain Anisotropy in Transient Polymers." Polymers 10, no. 8 (August 1, 2018): 848. http://dx.doi.org/10.3390/polym10080848.

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Transient polymer networks are ubiquitous in natural and engineered materials and contain cross-links that can reversibly break and re-form. The dynamic nature of these bonds allows for interesting mechanical behavior, some of which include nonlinear rheological phenomena such as shear thickening and shear thinning. Specifically, physically cross-linked networks with reversible bonds are typically observed to have viscosities that depend nonlinearly on shear rate and can be characterized by three flow regimes. In slow shear, they behave like Newtonian fluids with a constant viscosity. With further increase in shear rate, the viscosity increases nonlinearly to subsequently reach a maximum value at the critical shear rate. At this point, network fracture occurs followed by a reduction in viscosity (shear-thinning) with a further increase in shear rate. The underlying mechanism of shear thickening in this process is still unclear with debates between a conversion of intra-chain to inter-chain cross-linking and nonlinear chain stretch under high tension. In this paper, we provide a new framework to describe the nonlinear rheology of transient polymer networks with the so-called chain distribution tensor using recent advances from the transient network theory. This tensor contains quantitatively and statistical information of the chain alignment and possible anisotropy that affect network behavior and mechanics. We investigate shear thickening as a primary result of non-Gaussian chain behavior and derive a relationship for the nonlinear viscosity in terms of the non-dimensional Weissenberg number. We further address the criterion for network fracture at the critical shear rate by introducing a critical chain force when bond dissociation is suddenly accelerated. Finally, we discuss the role of cross-linker density on viscosity using a “sticky” reptation mechanism in the context of previous studies on metallo-supramolecular networks with reversible cross-linkers.

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Ellison, Aaron M. "Ecological networks: linking structure and dynamics in food webs." Ecology 88, no. 1 (January 2007): 265–66. http://dx.doi.org/10.1890/0012-9658(2007)88[265:enlsad]2.0.co;2.

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Deisboeck, Thomas S., and Jonathan Sagotsky. "Professional Networks in the Life Sciences: Linking the Linked." Cancer Informatics 9 (January 2010): CIN.S5371. http://dx.doi.org/10.4137/cin.s5371.

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The world wide web has furthered the emergence of a multitude of online expert communities. Continued progress on many of the remaining complex scientific questions requires a wide ranging expertise spectrum with access to a variety of distinct data types. Moving beyond peer-to-peer to community-to-community interaction is therefore one of the biggest challenges for global interdisciplinary Life Sciences research, including that of cancer. Cross-domain data query, access, and retrieval will be important innovation areas to enable and facilitate this interaction in the coming years.

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Sudha, J. Keerthi. "Linking E-Commerce to Social Networks for Product Recommendation." International Journal for Research in Applied Science and Engineering Technology V, no. IV (April 27, 2017): 1163–66. http://dx.doi.org/10.22214/ijraset.2017.4208.

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Vergara Caffarelli, Filippo. "One-Way Flow Networks with Decreasing Returns to Linking." Dynamic Games and Applications 7, no. 2 (December 22, 2015): 323–45. http://dx.doi.org/10.1007/s13235-015-0178-7.

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Li, Yongsheng, Daniel J. McGrail, Natasha Latysheva, Song Yi, M. Madan Babu, and Nidhi Sahni. "Pathway perturbations in signaling networks: Linking genotype to phenotype." Seminars in Cell & Developmental Biology 99 (March 2020): 3–11. http://dx.doi.org/10.1016/j.semcdb.2018.05.001.

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SUN, TIELI, JINGWEI DENG, KAIYING DENG, and SHUANGLIANG TIAN. "THE COMPLEX NETWORKS WITH RANDOM INITIALIZING AND PREFERENTIAL LINKING." International Journal of Modern Physics B 24, no. 24 (September 30, 2010): 4753–59. http://dx.doi.org/10.1142/s0217979210056724.

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In this paper, we first derive the analytical expressions of the degree distributions for the network with random initializing attractiveness and preferential linking by using the approach of mean-field theory. Then we discuss the justification of the scale-free behavior and give a remark about the proposed model. Finally, a series of theoretical analysis and numerical simulations for the network model are conducted. The computer simulations and the theoretical results are consistent, and display the effectiveness of the model.

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Lamb, H. K., D. K. Stammers, and A. R. Hawkins. "Dinucleotide-Sensing Proteins: Linking Signaling Networks and Regulating Transcription." Science Signaling 1, no. 33 (August 19, 2008): pe38. http://dx.doi.org/10.1126/scisignal.133pe38.

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Xu, Huilong, Lin Ding, Yihu Song, and Wanjie Wang. "Rheology of end-linking polydimethylsiloxane networks filled with silica." Journal of Rheology 64, no. 6 (November 2020): 1425–38. http://dx.doi.org/10.1122/8.0000050.

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Chino, Keisuke, and Makoto Ashiura. "Themoreversible Cross-Linking Rubber Using Supramolecular Hydrogen-Bonding Networks." Macromolecules 34, no. 26 (December 2001): 9201–4. http://dx.doi.org/10.1021/ma011253v.

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Sánchez-Casado, Noelia, Juan Gabriel Cegarra-Navarro, and Eva Tomaseti-Solano. "Linking social networks to utilitarian benefits through counter-knowledge." Online Information Review 39, no. 2 (April 13, 2015): 179–96. http://dx.doi.org/10.1108/oir-12-2014-0307.

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Purpose – Social networking sites (SNS) enable users to create their own public profiles within a web site. In recent years, there has been an increase in the number of people spreading misleading information or rumours (i.e. counter-knowledge) about friends and other people thanks to social media platforms. The purpose of this paper is to identify the role played by social networks in the process of creating counter-knowledge, focusing on the counter-knowledge that users develop in the context of SNS and its effect on utilitarian benefits. Design/methodology/approach – This study analyses these effects through an empirical investigation of 236 users of SNSs. The methodology involves the construction and analysis of a structural equation model from a review of relevant literature. Findings – The results confirm that, although the context of SNSs is a variable that will lead to positive effects on counter-knowledge, the relationship between counter-knowledge and utilitarian benefits becomes statistically insignificant. The results also showed that the content on social networks may lead to higher levels of utilitarian benefits. This either amplifies or helps to encourage cooperation among users and providers of rumours, beliefs and assumptions about what they think is the truth. Originality/value – From a user perspective, few, if any, studies of SNS have considered the relationship between the information collected and generated by SNS and counter-knowledge. Therefore, the results of this study lead the authors to advise managers of SNSs considering that most but not all the content on SNSs is associated with the spread of rumours, misinformation and unverified claims.

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Economo, Evan P. "Biodiversity Conservation in Metacommunity Networks: Linking Pattern and Persistence." American Naturalist 177, no. 6 (June 2011): E167—E180. http://dx.doi.org/10.1086/659946.

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Huiru Zheng, Haiying Wang, Hua Xu, Yonghui Wu, Zhongming Zhao, and Francisco Azuaje. "Linking Biochemical Pathways and Networks to Adverse Drug Reactions." IEEE Transactions on NanoBioscience 13, no. 2 (June 2014): 131–37. http://dx.doi.org/10.1109/tnb.2014.2319158.

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Gosline, S. J. C., C. Oh, and E. Fraenkel. "SAMNetWeb: identifying condition-specific networks linking signaling and transcription." Bioinformatics 31, no. 7 (November 19, 2014): 1124–26. http://dx.doi.org/10.1093/bioinformatics/btu748.

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Journal articles on the topic 'Linking networks'

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