Journal articles: 'Network migration'

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Dawadi, Babu R., Danda B. Rawat, Shashidhar R. Joshi, and Pietro Manzoni. "Legacy Network Integration with SDN-IP Implementation towards a Multi-Domain SoDIP6 Network Environment." Electronics 9, no. 9 (September 6, 2020): 1454. http://dx.doi.org/10.3390/electronics9091454.

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The logical separation of the data plane and the control plane of the network device conceptually defined by software-defined networking (SDN) creates many opportunities to create smart networking with better efficiency for network management and operation. SDN implementation over telecommunications (Telcos) and Internet service provider (ISP) networks is a challenging issue due to the lack of a high maturity level of SDN-based standards and several other critical factors that are considered during the real-time migration of existing legacy IPv4 networks. Different migration approaches have been studied; however, none of them seem to be close to realizing implementation. This paper implements the SDN-IP and Open Network Operating System (ONOS) SDN controller to migrate legacy IPv4 networks to multi-domain software-defined IPv6 (SoDIP6) networks and experimentally evaluate the viability of joint network migration in the ISP networks. We present results using extensive simulations for the suitable placement of the master ONOS controller during network migration by considering minimum control path latency using optimal path routing and the breadth first router replacement (BFR) technique. Our empirical analysis and evaluations show that the identification of the median router to attach the master controller and router migration planning using BFR give better results for carrier-grade legacy networks’ migration to SoDIP6 networks.

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Kincses, Aron, and Géza Tóth. "The geographical network of international migration." Environment and Planning A: Economy and Space 52, no. 7 (January 29, 2020): 1243–45. http://dx.doi.org/10.1177/0308518x20904737.

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International migration offers a new field in which the results of network theory can be harvested. Through the migration countries’ networks (from where and to where migrants move), we have provided some of the most important tangible outcomes of network analysis in migration statistics. The results of this research establish that there are hubs of international migration. Global migration destinations draw international migrants from greater distances. Migration connectivity between countries is constantly increasing. At the same time, most countries have few connections with other countries through migration, while a few have many connections. This network is interconnected by hubs with multiple connectivity capabilities.

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Vamaraju, Janaki, and Mrinal K. Sen. "Unsupervised physics-based neural networks for seismic migration." Interpretation 7, no. 3 (August 1, 2019): SE189—SE200. http://dx.doi.org/10.1190/int-2018-0230.1.

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We have developed a novel framework for combining physics-based forward models and neural networks to advance seismic processing and inversion algorithms. Migration is an effective tool in seismic data processing and imaging. Over the years, the scope of these algorithms has broadened; today, migration is a central step in the seismic data processing workflow. However, no single migration technique is suitable for all kinds of data and all styles of acquisition. There is always a compromise on the accuracy, cost, and flexibility of these algorithms. On the other hand, machine-learning algorithms and artificial intelligence methods have been found immensely successful in applications in which big data are available. The applicability of these algorithms is being extensively investigated in scientific disciplines such as exploration geophysics with the goal of reducing exploration and development costs. In this context, we have used a special kind of unsupervised recurrent neural network and its variants, Hopfield neural networks and the Boltzmann machine, to solve the problems of Kirchhoff and reverse time migrations. We use the network to migrate seismic data in a least-squares sense using simulated annealing to globally optimize the cost function of the neural network. The weights and biases of the neural network are derived from the physics-based forward models that are used to generate seismic data. The optimal configuration of the neural network after training corresponds to the minimum energy of the network and thus gives the reflectivity solution of the migration problem. Using synthetic examples, we determine that (1) Hopfield neural networks are fast and efficient and (2) they provide reflectivity images with mitigated migration artifacts and improved spatial resolution. Specifically, the presented approach minimizes the artifacts that arise from limited aperture, low subsurface illumination, coarse sampling, and gaps in the data.

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Kölzsch, Andrea, Erik Kleyheeg, Helmut Kruckenberg, Michael Kaatz, and Bernd Blasius. "A periodic Markov model to formalize animal migration on a network." Royal Society Open Science 5, no. 6 (June 2018): 180438. http://dx.doi.org/10.1098/rsos.180438.

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Regular, long-distance migrations of thousands of animal species have consequences for the ecosystems that they visit, modifying trophic interactions and transporting many non-pathogenic and pathogenic organisms. The spatial structure and dynamic properties of animal migrations and population flyways largely determine those trophic and transport effects, but are yet poorly studied. As a basis, we propose a periodic Markov model on the spatial migration network of breeding, stopover and wintering sites to formally describe the process of animal migration on the population level. From seasonally changing transition rates we derived stable, seasonal densities of animals at the network nodes. We parametrized the model with high-quality GPS and satellite telemetry tracks of white storks ( Ciconia ciconia ) and greater white-fronted geese ( Anser a. albifrons ). Topological and network flow properties of the two derived networks conform to migration properties like seasonally changing connectivity and shared, directed movement. Thus, the model realistically describes the migration movement of complete populations and can become an important tool to study the effects of climate and habitat change and pathogen spread on migratory animals. Furthermore, the property of periodically changing transition rates makes it a new type of complex model and we need to understand its dynamic properties.

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Mruts, Volodymyr, and Marta Mashevska. "Algorithmic and Software of Migration of Databases in Hypermarket Network." Advances in Cyber-Physical Systems 5, no. 2 (October 3, 2020): 77–84. http://dx.doi.org/10.23939/acps2020.02.077.

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Possible ways and options of migrating data from existing database management systems to new ones have been analyzed in the article. Also, the main advantages and disadvantages of these methods have been considered, the common problems that may arise during migration and the standard requirements for this type of system have been given. In the practical part, the Exact Transform Load (ETL) system has been developed with the implementation of all its functional and non-functional requirements, migrating data from the old system to the new one.

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Kincses, Áron. "Geographical networks of international migration." Migration Letters 17, no. 6 (November 22, 2020): 799–812. http://dx.doi.org/10.33182/ml.v17i6.932.

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In the globalised world, various human activities (business, migration, etc.) organise into networks, and only through these skeletons can we observe the different phenomena that take place. In response to the emergence of globalisation we need to find new, usable tools and methods for the sound measurement of such changing phenomena. Network theory is an innovative approach that can help us handle the complexity of the 21st century. However, so far it has not featured in mainstream official statistics. The international migration offers a new field, in which to harvest the results of network theory (in geographical not in sociological sense). Through the migration countries’ networks (from where and to where migrants move) I provide some of the most important tangible outcomes of network analysis in international migration statistics. The analysis of the entire migration geographical network is limited to the presentation of the main trends and characteristics.

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Riosmena, Fernando, and Mao-Mei Liu. "Who Goes Next? The Gendered Expansion of Mexican and Senegalese Migrant Sibling Networks in Space and Time." ANNALS of the American Academy of Political and Social Science 684, no. 1 (July 2019): 146–64. http://dx.doi.org/10.1177/0002716219856544.

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The migration literature shows that individuals whose siblings have migrated abroad are more likely to migrate, yet we know little about sibling migrant networks. We use MMP and MAFE-Senegal survey data to compare migration patterns in two very disparate contexts (Mexico and Senegal) in an attempt to assess the scope, manner, and generalizability of sibling network migration patterns. Our results show that while Senegalese families are likely to have one international migrant, Mexican families are likely to send two or more members abroad. Sibling migrations from Mexico fall closer together in time than do those from Senegal, suggesting joint sibling migration. Also, while Mexican sibling networks did not seem to contribute to the expansion of Mexican migrant destinations, Senegalese sibling networks did contribute (slightly) to the expansion of Senegalese migration. Sibling networks in both settings contributed considerably to the feminization of migration.

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Yakar, Mustafa, and Fatma Sert Eteman. "Türkiye'de iller arası göçlerin nodexl ile sosyal ağ analizi." Göç Dergisi 4, no. 1 (May 1, 2017): 82–109. http://dx.doi.org/10.33182/gd.v4i1.573.

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Türkiye'de 20.yy'ın ortasından itibaren başlayan iç göçler zamanla kurulan göçmen ağları ile süreklilik kazanmış ve ülke içinde nüfusun kır-kent dağılımını değiştirecek boyutlara erişmiştir. Araştırma, göçün doğum yeri verisinden hareketle ikamet edilen yerdeki nüfus miktarına göre alınan ve verilen göç akışının büyüklüğünü iller ölçeğinde yönlü ağlar kullanılarak analiz edilmesini amaçlamaktadır. Araştırmada, TÜİK tarafından yayınlanmış olan 2015 yılına ait, iller ölçeğinde doğum yerine göre ikamet yeri verisi kullanılmıştır. Göçün kaynak ve hedef sahaları arasındaki akışını incelemek için NodeXL ile oluşturulan tek modlu, yönlü ve ağırlıklandırılmış göç ağının istatistiksel olarak tam ağ yapısına sahip olduğu görülmüştür. Ağ grafiklerinden ve istatistiklerinden göç hareketinin doğudan batıya doğru gerçekleştiği ve İstanbul’ un ülkenin tamamına hâkim bir görünüme sahip olduğu anlaşılmaktadır. Türkiye nüfusunun cumhuriyet tarihi içinde geçirdiği iç göç süreçleriyle birlikte ülke içinde kurulmuş ve oldukça karmaşık bir görünüme sahip ağ yapısının olduğu ileri sürülebilir. Kurulan ağlar göçlerin devamını sağladığı gibi, göçün yöneldiği merkezlerde daha heterojen nüfus yapılarının ortaya çıkmasına yol açmıştır.ABSTRACT IN ENGLISHSocial Network Analysis of Migration Inter Provinces In Turkey with Nodexl The internal migrations which started in Turkey in the middle of the 20th century have gained permanency with the migration networks that were established at the time and reached dimensions which have the potential to change the rural-urban distribution of the population within the country. The study aims to analyze the magnitude of the incoming and outgoing migration flow at the provincial scale based on the population data for place of birth according to place of residence by using directional networks. Place of residence according to place of birth at the provincial scale data for 2015 published by TÜİK was used in the study. A single mode, directional and weighted migration network created with NodeXL to examine the migration flows between the source and target has a statistically complete network structure. The network graphs and statistics show that the migrations have taken place from east to west and Istanbul has a view as dominant of the country. It can be argued that internal network structure of Turkish population has a very complex view because of internal migration in the history of the republic. The established networks have enabled the continuation of migration and have manifested as the emergence of more heterogeneous population structures in centers where migration had been directed.

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Alcala, Nicolas, Amy Goldberg, Uma Ramakrishnan, and Noah A. Rosenberg. "Coalescent Theory of Migration Network Motifs." Molecular Biology and Evolution 36, no. 10 (June 4, 2019): 2358–74. http://dx.doi.org/10.1093/molbev/msz136.

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Abstract Natural populations display a variety of spatial arrangements, each potentially with a distinctive impact on genetic diversity and genetic differentiation among subpopulations. Although the spatial arrangement of populations can lead to intricate migration networks, theoretical developments have focused mainly on a small subset of such networks, emphasizing the island-migration and stepping-stone models. In this study, we investigate all small network motifs: the set of all possible migration networks among populations subdivided into at most four subpopulations. For each motif, we use coalescent theory to derive expectations for three quantities that describe genetic variation: nucleotide diversity, FST, and half-time to equilibrium diversity. We describe the impact of network properties on these quantities, finding that motifs with a high mean node degree have the largest nucleotide diversity and the longest time to equilibrium, whereas motifs with low density have the largest FST. In addition, we show that the motifs whose pattern of variation is most strongly influenced by loss of a connection or a subpopulation are those that can be split easily into disconnected components. We illustrate our results using two example data sets—sky island birds of genus Sholicola and Indian tigers—identifying disturbance scenarios that produce the greatest reduction in genetic diversity; for tigers, we also compare the benefits of two assisted gene flow scenarios. Our results have consequences for understanding the effect of geography on genetic diversity, and they can assist in designing strategies to alter population migration networks toward maximizing genetic variation in the context of conservation of endangered species.

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Pianezzi, Daniela, and Giuseppe Grossi. "Corruption in migration management: a network perspective." International Review of Administrative Sciences 86, no. 1 (May 10, 2018): 152–68. http://dx.doi.org/10.1177/0020852317753528.

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This article explores the relation between networks as an emerging mode of public governance and corruption. Adopting the theoretical lens of actor-network theory, the article investigates an Italian episode of corruption related to the awarding of government contracts for the management of Mineo’s CARA, Europe's largest reception centre for migrants. The analysis shows that a governance network may turn corruption itself into a network where abuse of power can proliferate thanks to the opacity resulting from the multiplicity of actors, interactions and fragmentation characterizing the governance system.

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Hussain, Syed Ishtiaq, Huma Javed, Tehseen Khan, Sara Shazad, and Falak Naz Khalil. "Native Process Migration in Wireless Sensor Networks." International Journal of Distributed Sensor Networks 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/607143.

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This paper presents a novel architecture for native process migration (PM) in wireless sensor networks (WSNs) without the use of virtual execution environment. Resources in WSN are scarce; therefore creating virtual execution environment puts extra burden on already stringent resources. In addition, the proposed architecture is migrating with complete process instead of code only which also saves resources. The proposed architecture makes process migration decisions by continuously monitoring resources, such as remaining battery life and free memory space on a node. The architecture is suitable for networks with fewer expensive sensor nodes as it allows for better utilization of network resources. Transferring a live executing process from one node to another to meet processing demands dynamically improves fault tolerance, resource utilization, and network management in WSN. The architecture has been successfully tested and implemented on both COOJA simulator and a test bed of TelosB motes.

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Bauer, Thomas, and Klaus F. Zimmermann. "Network Migration of Ethnic Germans." International Migration Review 31, no. 1 (1997): 143. http://dx.doi.org/10.2307/2547262.

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Koltai, Júlia, Endre Sik, and Bori Simonovits. "Network capital and migration potential." International Journal of Sociology 50, no. 2 (February 19, 2020): 122–41. http://dx.doi.org/10.1080/00207659.2020.1726110.

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Bauer, Thomas, and Klaus F. Zimmermann. "Network Migration of Ethnic Germans." International Migration Review 31, no. 1 (March 1997): 143–49. http://dx.doi.org/10.1177/019791839703100108.

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HEITMUELLER, AXEL. "COORDINATION FAILURES IN NETWORK MIGRATION." Manchester School 74, no. 6 (December 2006): 701–10. http://dx.doi.org/10.1111/j.1467-9957.2006.00523.x.

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Baynham, Mike, and Stef Slembrouck. "Language and Migration Research Network." International Journal of Applied Linguistics 18, no. 1 (March 2008): 118. http://dx.doi.org/10.1111/j.1473-4192.2008.00190_2.x.

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Otobe, Kazunori, Kenji Itou, and Takayuki Mizukubo. "Micro-moulded substrates for the analysis of structure-dependent behaviour of nematodes." Nematology 6, no. 1 (2004): 73–77. http://dx.doi.org/10.1163/156854104323072946.

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AbstractMicrostructures, consisting of networks of channels of rectangular cross sections (50 μm high, 40-200 μm wide), were formed in 5 mm square areas on transparent substrates made of silicon rubber. An experimental set-up using the network sealed with a flat glass plate has the potential to function in a way similar to the pore space in soil, and is therefore useful for studies of nematode migration. The set-up allowed the migratory activity of nematodes in water-filled, porous and transparent microstructures to be observed with a microscope. By means of substrates with two different channel dimensions, the structure-dependent behaviour of second-stage juveniles of Meloidogyne incognita was visually demonstrated. Their behaviour was examined on the basis of the migration patterns obtained by superimposing recorded serial images of individual juveniles. In a micro-channel network with 40 μm high channels of 200 μm wide elements, juveniles showed marked activity in migration, forming consistent zigzag patterns spread over the network area. In contrast, in a micro-channel network with 80 μm high channels of 400 μm wide elements, migration showed thick, sparse patterns, restricted around the area where the juveniles were initially deposited. This comparison showed that M. incognita juveniles in a narrow, fine network tended to migrate actively and, in contrast, those in a wide, coarse network were prevented from migrating by the network configuration.

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Nevřelová, Marta, and Martin Novota. "Functionality of the Ecological Network Elements from the Point of View of Mammal Migrations in the Contact Zone of the Forest and Agricultural Landscape." Ekológia (Bratislava) 39, no. 1 (March 1, 2020): 45–57. http://dx.doi.org/10.2478/eko-2020-0004.

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AbstractThe aim of the research was to verify the functionality of the ecological network elements from the point of view of wildlife mammal migrations in the observed territory. Theoretical basis defines fragmentation of the landscape, the migrations of forest animals, ecological networks, and their connectivity. In the research territory, species such as Capreolus capreolus, Cervus elaphus, Sus scrofa, Vulpes vulpes, Castor fiber and Lepus europaeus were recognized. The result of the issue is the confirmation or reversal of the functionality of the ecological network elements of the forest animal migrations and the actual status in the observed area. In the contact areas of the Small Carpathians forests and the lowland areas, the research was carried out during 2015, 2016, and 2017. The results have shown that the game tends to migrate between the Small Carpathian forests and the adjacent lowland, but the migration potential is very limited because of the presence of strong migration barriers. Biocenters located in the monitored area provide a variety of conditions and are widely used by almost all species, and we consider them to be functional in terms of game migration. Biocorridors are problematic, whose functionality with regard to the migration of wildlife is considerably limited because of the location of the D2 highway and first- and second-class roads.

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Parsons, Laurie. "Mobile inequality: Remittances and social network centrality in Cambodian migrant livelihoods." Migration Studies 4, no. 2 (June 9, 2016): 154–81. http://dx.doi.org/10.1093/migration/mnw005.

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Tian, Huaiyu, Sen Zhou, Lu Dong, Thomas P. Van Boeckel, Yujun Cui, Scott H. Newman, John Y. Takekawa, et al. "Avian influenza H5N1 viral and bird migration networks in Asia." Proceedings of the National Academy of Sciences 112, no. 1 (December 22, 2014): 172–77. http://dx.doi.org/10.1073/pnas.1405216112.

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The spatial spread of the highly pathogenic avian influenza virus H5N1 and its long-term persistence in Asia have resulted in avian influenza panzootics and enormous economic losses in the poultry sector. However, an understanding of the regional long-distance transmission and seasonal patterns of the virus is still lacking. In this study, we present a phylogeographic approach to reconstruct the viral migration network. We show that within each wild fowl migratory flyway, the timing of H5N1 outbreaks and viral migrations are closely associated, but little viral transmission was observed between the flyways. The bird migration network is shown to better reflect the observed viral gene sequence data than other networks and contributes to seasonal H5N1 epidemics in local regions and its large-scale transmission along flyways. These findings have potentially far-reaching consequences, improving our understanding of how bird migration drives the periodic reemergence of H5N1 in Asia.

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Grieco, Elizabeth M. "The Effects of Migration on the Establishment of Networks: Caste Disintegration and Reformation among the Indians of Fiji." International Migration Review 32, no. 3 (September 1998): 704–36. http://dx.doi.org/10.1177/019791839803200306.

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This article focuses on how migration auspices affect the formation of migrant networks and ethnic communities. Using ethnographic data and migration histories to focus on caste “reformation” in the subcommunities of the Indians of Fiji, the ability to reestablish and maintain subcaste group “extensions” in Fiji is shown as directly related to the migration auspices that originally established the community. By determining the characteristics of migrants, the reason for migrating, and the magnitude and duration of migration streams, migration auspices define a migration type. This migration type affects the strength and density of social ties present in migration streams. It also affects the strength and density of network ties that members of a migrant community can establish in a receiving society. By extension, this can influence the level of cultural reformation overseas.

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Beine, Michel, Frédéric Docquier, and Çağlar Özden. "DISSECTING NETWORK EXTERNALITIES IN INTERNATIONAL MIGRATION." Journal of Demographic Economics 81, no. 4 (December 2015): 379–408. http://dx.doi.org/10.1017/dem.2015.13.

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Abstract:Migrant networks play an important role in explaining the size and structure of migration flows. They affect the private costs and benefits of migration (assimilation channel) and lower legal entry barriers through family reunification programs (policy channel). This paper presents a micro-founded identification strategy allowing to disentangle the relative importance of these two channels. Our empirical analysis exploits US immigration data by metropolitan area and country of origin. We first find that the elasticity of migration flows to network size is around one. More interestingly, we show that the policy channel accounted at most for a quarter of this elasticity in the 1990s, and the magnitudes of the total network effect and the policy channel are greater for low-skilled migrants. Our results are strongly robust to sample selection, identification assumptions, and treatment for unobserved bilateral heterogeneity. Furthermore, the policy channel was stronger in the 1990s than in the 1980s, possibly reflecting the changes in the US family reunification policies. We conclude that the government capacity to curb the migration multiplier exists, but is limited.

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Wang, Xuewei, Shuangli Ding, Weidong Cao, Dalong Fan, and Bin Tang. "Research on Network Patterns and Influencing Factors of Population Flow and Migration in the Yangtze River Delta Urban Agglomeration, China." Sustainability 12, no. 17 (August 21, 2020): 6803. http://dx.doi.org/10.3390/su12176803.

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Through the construction of a population flow and migration relationship matrix, this paper analyzes population flow and migration in the Yangtze River Delta urban agglomeration during the Spring Festival travel rush and daily period. This paper also studies the urban network spatial structure characteristics and the influencing factors from the perspective of inter-provincial population flow and migration. The results show the following: (1) as a central city, Shanghai has a significant siphon effect, with Suzhou, Nanjing, Hangzhou, Ningbo, Wuxi and Changzhou accumulating 86.95% of the incoming population. The Shanghai–Jiangsu cross-border floating population is active and accounts for 40.83% of the total mobility scale in the same period. The population flow and migration network in the Yangtze River Delta urban agglomeration shows obvious hierarchical characteristics. The secondary network relationship during the Spring Festival travel rush is the main migration path, while the first-level network relationship in the daily period is the main flow path. (2) Three indicators, namely, the network density, mean centrality, and control force based on the population flow and migration, consistently show that the Yangtze River Delta urban agglomeration network presents a strong connection state with the formation of a local cluster structure, highlighting that the city tightness in terms of population flow and migration also has dual attributes, which refers to “the restriction of the geographic space effect” and “overcoming the friction of space”. (3) Economic scale, political resources, industrial structure, and the historical basis are important factors influencing the formation of population flows and migration networks. Employment opportunities and labor wages are key guiding factors of the population migration direction, and spatial distance is a conditional factor influencing the formation of population flows and migration networks. The inter-provincial boundary, temporal distance, and transboundary frequency are the decisive factors for the formation of network patterns of population flow and migration.

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De Pascalis, Chiara, Carlos Pérez-González, Shailaja Seetharaman, Batiste Boëda, Benoit Vianay, Mithila Burute, Cécile Leduc, Nicolas Borghi, Xavier Trepat, and Sandrine Etienne-Manneville. "Intermediate filaments control collective migration by restricting traction forces and sustaining cell–cell contacts." Journal of Cell Biology 217, no. 9 (July 6, 2018): 3031–44. http://dx.doi.org/10.1083/jcb.201801162.

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Mesenchymal cell migration relies on the coordinated regulation of the actin and microtubule networks that participate in polarized cell protrusion, adhesion, and contraction. During collective migration, most of the traction forces are generated by the acto-myosin network linked to focal adhesions at the front of leader cells, which transmit these pulling forces to the followers. Here, using an in vitro wound healing assay to induce polarization and collective directed migration of primary astrocytes, we show that the intermediate filament (IF) network composed of vimentin, glial fibrillary acidic protein, and nestin contributes to directed collective movement by controlling the distribution of forces in the migrating cell monolayer. Together with the cytoskeletal linker plectin, these IFs control the organization and dynamics of the acto-myosin network, promoting the actin-driven treadmilling of adherens junctions, thereby facilitating the polarization of leader cells. Independently of their effect on adherens junctions, IFs influence the dynamics and localization of focal adhesions and limit their mechanical coupling to the acto-myosin network. We thus conclude that IFs promote collective directed migration in astrocytes by restricting the generation of traction forces to the front of leader cells, preventing aberrant tractions in the followers, and by contributing to the maintenance of lateral cell–cell interactions.

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Gou, Wensha, Siyu Huang, Qinghua Chen, Jiawei Chen, and Xiaomeng Li. "Structure and Dynamic of Global Population Migration Network." Complexity 2020 (August 25, 2020): 1–17. http://dx.doi.org/10.1155/2020/4359023.

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People are the most important factors of economy and the primary carriers of social culture. Cross-border migration brings economic and cultural impacts to the origin and destination and is also a key to reflect the international relations of related countries. In fact, the migration relationships of countries are complex and multilateral, but most traditional migration models are bilateral. Network theories could provide a better description of global migration to show the structure and statistical characteristics more clearly. Based on the estimated migration data and disparity filter algorithm, the networks describing the global multilateral migration relationships have been extracted among 200 countries over fifty years. The results show that the global migration networks during 1960–2015 exhibit a clustering and disassortative feature, implying globalized and multipolarized changes of migration during these years. The networks were embed into a Poincaré disk, yielding a typical and hierarchical “core-periphery” structure, which is associated with angular density distribution, and has been used to describe the “multicentering” trend since 1990s. Analysis on correlation and evolution of communities indicates the stability of most communities, yet some structural changes still exist since 1990s, which reflect that the important historical events are contributable to regional and even global migration patterns.

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Hidayati, Inayah. "The Process of Migration and Communication Technology Roles among Labor Migrants in Batam - Indonesia." Society 7, no. 2 (December 31, 2019): 173–84. http://dx.doi.org/10.33019/society.v7i2.99.

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This research explains the roles of communication technology on the migration process of labor migrants in Batam, Indonesia. Differences between places are strong reasons for people to migrate. The advances in communication technology have freed up opportunities for people to migrate. Technology has made it more accessible for migrants to raise links to their next destination through the internet. Interactions within communication technology make migration easier by decreasing the expenses and risks of moving. The explanations in this study are to understand the communication technology for the migrating process and calculate the social networks of migrants. This research applied mixed methods to explore the migration process with data collected included quantitative data from a survey with 500 respondents and supported by qualitative data from in-depth interviews. The results: 1) Communication technology helps migrants in the migration process, especially for searching for information about the destination area. 2) The migrant who uses communication technology has a strong social network and less risk of migration. The role of communication technology in the migration's processes is as a tool to maintain social ties of migrants, migrant uses their social media to make contact and gain information about their destination. This study related to SDGs' target number 10.7 which facilitates orderly, safe, regular and responsible migration and mobility of people, including through the implementation of planned and well-managed migration policies, communications technology facilitate safe and well-managed migration.

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Ganjour, Olga, Eric D. Widmer, Gil Viry, Jacques-Antoine Gauthier, Vincent Kaufmann, and Guillaume Drevon. "Understanding the reconstruction of personal networks through residential migration trajectories." Migration Letters 17, no. 5 (September 28, 2020): 621–38. http://dx.doi.org/10.33182/ml.v17i5.694.

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This article examines how residential trajectories influence the spatiality and composition of personal networks. Three mechanisms are considered: the addition of spatially close network members, the selection of spatially distant network members, and the substitution of spatially distant network members by spatially close ones. An ego-centred network analysis combined with sequence analysis of residential experiences is used to capture the personal networks and the residential trajectories of individuals from two birth cohorts in Switzerland. A series of regression models tests the association between the types of personal networks that individuals develop, in terms of both spatial dispersion and composition, and their residential trajectories. The results show that individuals who moved far away from their place of birth are embedded in large and diversified personal networks, which include spatially distant relatives, local nuclear family members, and local friends. On average, individuals who experienced residential migration have larger and more diverse personal networks than individuals who stayed close to their place of birth. The addition mechanism accounts for much of this greater diversity.

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Nowotny, Klaus, and Dieter Pennerstorfer. "Network migration: do neighbouring regions matter?" Regional Studies 53, no. 1 (October 17, 2017): 107–17. http://dx.doi.org/10.1080/00343404.2017.1380305.

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Garip, Filiz, and Asad L. Asad. "Network Effects in Mexico–U.S. Migration." American Behavioral Scientist 60, no. 10 (April 19, 2016): 1168–93. http://dx.doi.org/10.1177/0002764216643131.

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Busch, Hauke, David Camacho‐Trullio, Zbigniew Rogon, Kai Breuhahn, Peter Angel, Roland Eils, and Axel Szabowski. "Gene network dynamics controlling keratinocyte migration." Molecular Systems Biology 4, no. 1 (January 2008): 199. http://dx.doi.org/10.1038/msb.2008.36.

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Tranos, Emmanouil, Masood Gheasi, and Peter Nijkamp. "International Migration: A Global Complex Network." Environment and Planning B: Planning and Design 42, no. 1 (February 2015): 4–22. http://dx.doi.org/10.1068/b39042.

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Türk, Stefan. "Network migration optimization using meta-heuristics." AEU - International Journal of Electronics and Communications 68, no. 7 (July 2014): 584–86. http://dx.doi.org/10.1016/j.aeue.2014.04.005.

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Wood, Peter. "Security implications of network infrastructure migration." Computers & Security 14, no. 5 (January 1995): 424. http://dx.doi.org/10.1016/0167-4048(95)97143-x.

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Huang, Siyu, Xiaomeng Li, and Qinghua Chen. "Longcuts in the global migration network." EPL (Europhysics Letters) 134, no. 4 (May 1, 2021): 48002. http://dx.doi.org/10.1209/0295-5075/134/48002.

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Glamočanin, D. "Migration of optical core network to next generation networks – Carrier Grade Ethernet Optical Transport Network." IOP Conference Series: Materials Science and Engineering 200 (May 2017): 012028. http://dx.doi.org/10.1088/1757-899x/200/1/012028.

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Waldorf, B. "The Internal Dynamic of International Migration Systems." Environment and Planning A: Economy and Space 28, no. 4 (April 1996): 631–50. http://dx.doi.org/10.1068/a280631.

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In this paper I provide a conceptualization of international migration networks, which can be used to identify and integrate the internal components of migration systems, and formalize the relationships in an analytic model of the internal network dynamic. With the use of the operationalized model, and microlevel and macrolevel data for guestworkers in Germany during the period 1970 to 1989, we can empirically test the relative influence of internal network variables versus external forces on the attraction of immigrants over time. The empirical results suggest that—as the system matures—network variables have an increasing impact on the attraction of immigrants, while the impact of economic factors declines. The research is concluded with a series of simulations that further highlight the internal dynamic of international migration systems.

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Nagata, Mary Louise. "Migration and Networks in Early Modern Kyoto, Japan." International Review of Social History 47, no. 2 (August 2002): 243–59. http://dx.doi.org/10.1017/s0020859002000597.

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The question of assimilation networks for migrants is usually applied to international migration. In this study, however, I use the population registers for a neighborhood in early modern Kyoto to look for possible network connections in domestic migration. I found a yearly turnover of fourteen households moving in and out of the neighborhood. Household and group migration was more important than individual migration and there is some sign of primary–secondary migration flows. Service migration did not play a major role in the migration patterns of this neighborhood, but the textile industry was probably an important attraction. Evidence of networks appears in the use of shop names that reflect a connection with a province or some specific location. These shop names usually reflected the place of origin of the household and may have been an effective method of gaining network connections and the guarantors necessary for finding housing and employment.

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Beine, Michel. "The role of networks for migration flows: an update." International Journal of Manpower 37, no. 7 (October 3, 2016): 1154–71. http://dx.doi.org/10.1108/ijm-01-2016-0013.

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Purpose The purpose of this paper is to cover the literature on the role migrants networks in explaining aggregate migration flows between countries. The author emphasizes the specific role of family immigration policies. To that purpose, the author covers briefly the recent experience of seven receiving countries to highlight the importance of these policies in explaining part of the observed network elasticities. Design/methodology/approach The author first provides a small review of the literature and the issues at stake. The author then provides an update of the estimates of the network elasticities using the data set on migration stocks and flows from Ozden et al. (2011). Using micro-founded gravity models, the author estimates the network elasticities and discusses the key driving mechanisms explaining their size as well the variation in the amplitude across categories of destination and over time. The author accounts for the issue of multilateral resistance to migration. Findings The author obtains estimates that are in line with the ones documented previously in the literature. The author finds that the role of networks in attracting migrants has increased after the 1970s. The author emphasizes the specific role of family immigration policies. To that purpose, the author covers briefly the recent experience of a set of receiving countries to highlight the importance of these policies in explaining part of the observed network elasticities. Originality/value This paper covers the literature on the role migrants networks in explaining aggregate migration flows between countries and obtain new estimates of network elasticities that vary over time and across types of destination countries.

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Pitoski, Dino, Thomas J. Lampoltshammer, and Peter Parycek. "Network Analysis of Internal Migration in Austria." Digital Government: Research and Practice 2, no. 3 (July 2021): 1–24. http://dx.doi.org/10.1145/3447539.

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Human migration, and urbanization as its direct consequence, are among the crucial topics in regional and national governance. People’s migration and mobility flows make a network structure, with large cities acting as hubs and smaller settlements as spokes. The essential method by which these phenomena can be analyzed comprehensively is network analysis. With this study, we first contribute to capacity building regarding the analysis of internal (national) migration data by providing a set of network indicators, models, and visualizations tested and argued for in terms of applicability and interpretability for analyzing migration. Second, we contribute to the understanding of the shape and scale of the phenomenon of internal migration, particularly toward urbanization and mobility flows between human settlements (i.e., cities, towns, and villages). Third, we demonstrate the utility of our approach on the example of internal migration flows in Austria on the settlement level and provide a longitudinal analysis for the period from 2002 to 2018. To the best of our knowledge, this is the first time that the key traits of a network of internal migration are identified for a European country, which, when accompanied by additional country analyses, has the potential to reveal the migration patterns in the region and beyond.

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Hâncean, Marian-Gabriel, Miranda Jessica Lubbers, and José Luis Molina. "Measuring transnational social fields through binational link-tracing sampling." PLOS ONE 16, no. 6 (June 14, 2021): e0253042. http://dx.doi.org/10.1371/journal.pone.0253042.

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We advance bi-national link-tracing sampling design, an innovative data collection methodology for sampling from so-called “transnational social fields”, i.e. transnational networks embedding migrants, returned migrants and non-migrants. This paper describes our contributions to this methodology and its empirical implementation, and evaluates the features of the resulting networks (sample), with the aim to guide future research. We performed 303 face-to-face structured interviews on sociodemographic variables, migration trajectories and personal networks of people living in a Romanian migration sending community (Dâmbovița) and in a migration receiving Spanish town (Castellón). Inter-connecting the personal networks, we built a multi-layered complex network structure embedding 4,855 nominated people, 5,477 directed ties (nominations) and 2,540 edges. Results indicate that the link-tracing nomination patterns are affected by sex and residence homophily. Our research contributes to the emerging efforts of applying social network analysis to the study of international migration.

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Nag Chowdhury, Sayantan, Srilena Kundu, Maja Duh, Matjaž Perc, and Dibakar Ghosh. "Cooperation on Interdependent Networks by Means of Migration and Stochastic Imitation." Entropy 22, no. 4 (April 23, 2020): 485. http://dx.doi.org/10.3390/e22040485.

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Evolutionary game theory in the realm of network science appeals to a lot of research communities, as it constitutes a popular theoretical framework for studying the evolution of cooperation in social dilemmas. Recent research has shown that cooperation is markedly more resistant in interdependent networks, where traditional network reciprocity can be further enhanced due to various forms of interdependence between different network layers. However, the role of mobility in interdependent networks is yet to gain its well-deserved attention. Here we consider an interdependent network model, where individuals in each layer follow different evolutionary games, and where each player is considered as a mobile agent that can move locally inside its own layer to improve its fitness. Probabilistically, we also consider an imitation possibility from a neighbor on the other layer. We show that, by considering migration and stochastic imitation, further fascinating gateways to cooperation on interdependent networks can be observed. Notably, cooperation can be promoted on both layers, even if cooperation without interdependence would be improbable on one of the layers due to adverse conditions. Our results provide a rationale for engineering better social systems at the interface of networks and human decision making under testing dilemmas.

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Das, Narayan, Alain de Janvry, Sakib Mahmood, and Elisabeth Sadoulet. "Migration as a Risky Enterprise: A Diagnostic for Bangladesh." International Migration Review 53, no. 3 (July 25, 2018): 900–929. http://dx.doi.org/10.1177/0197918318775933.

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We provide a quantitative diagnostic of attempts by Bangladeshi workers at migrating to foreign countries and the risks that they face in doing so. We show that migration failures may be as high as one-third of attempts at migrating, with large financial losses for households with an aspiring migrant. Using a duration model, we find that success in migrating is associated with a current higher national migration, larger village migration network, and urban residence. We also find that in spite of the high cost of failure, there are still large expected gains from trying to migrate.

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Yang, Yu, Hua Zhou, Jun Hui Liu, and Yun Feng. "A Virtual Machine Migration Algorithm Based on Network Flow Balance." Advanced Materials Research 1044-1045 (October 2014): 1028–34. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1028.

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Current research of virtual machine migration strategy mainly focuses on how to reduce the delay of virtual machine migration process but does not pay much attention to the network flow problem caused by the virtual machine migration. Because of the difference caused by Infrastructure Operator's network location makes a different virtual machine migration strategy, which will result in large differences in network traffic. Infrastructure operator's network resources are scarce resources. Therefore, how to reduce the network flow of virtual machine migration is a problem to be studied. In order to reduce network traffic virtual machine migration, this paper proposes a virtual machine migration algorithm (NFBA) based on network flow balance to obtain the minimum scheduling cost. Experimental results show the migration strategy can effectively reduce the communication traffic between the virtual machine clusters within the system and reduce the burden of network and consider workload balance at the same time.

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Lee, Hyunsoo, Jaesun Roh, Jin Hwa Jung, and Woncheol Jang. "Network analysis of urban-to-rural migration." Korean Journal of Applied Statistics 29, no. 3 (April 30, 2016): 487–503. http://dx.doi.org/10.5351/kjas.2016.29.3.487.

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Windzio, Michael. "The network of global migration 1990–2013." Social Networks 53 (May 2018): 20–29. http://dx.doi.org/10.1016/j.socnet.2017.08.006.

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Oikonomou, Konstantinos, and Ioannis Stavrakakis. "Scalable service migration in autonomic network environments." IEEE Journal on Selected Areas in Communications 28, no. 1 (January 2010): 84–94. http://dx.doi.org/10.1109/jsac.2010.100109.

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Teraoka, Fumio, Yasuhiko Yokore, and Mario Tokoro. "A network architecture providing host migration transparency." ACM SIGCOMM Computer Communication Review 21, no. 4 (August 1991): 209–20. http://dx.doi.org/10.1145/115994.116012.

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Guérin, Roch, and Kartik Hosanagar. "Fostering IPv6 migration through network quality differentials." ACM SIGCOMM Computer Communication Review 40, no. 3 (June 22, 2010): 17–25. http://dx.doi.org/10.1145/1823844.1823847.

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Núñez-López, M., L. Alarcón Ramos, and J. X. Velasco-Hernández. "Migration rate estimation in an epidemic network." Applied Mathematical Modelling 89 (January 2021): 1949–64. http://dx.doi.org/10.1016/j.apm.2020.08.025.

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Sabry, Noah, and Paul Krause. "Optimal Green Virtual Machine Migration Model." International Journal of Business Data Communications and Networking 9, no. 3 (July 2013): 35–52. http://dx.doi.org/10.4018/jbdcn.2013070103.

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Cloud computing provides the opportunity to migrate virtual machines to “follow-the-green” data centres. That is, to migrate virtual machines between green data centres on the basis of clean energy availability, to mitigate the environmental impact of carbon footprint emissions and energy consumption. The virtual machine migration problem can be modelled to maximize the utility of computing resources or minimizing the cost of using computing resources. However, this would ignore the network energy consumption and its impact on the overall CO2 emissions. Unless this is taken into account the extra data traffic due to migration of data could then cause an increase in brown energy consumption and eventually lead to an unintended increase in carbon footprint emissions. Energy consumption is a key aspect in deploying distributed service in cloud networks within decentralized service delivery architectures. In this paper, the authors address an optimization view of the problem of locating a set of cloud services on a set of sites green data centres managed by a service provider or hybrid cloud computing brokerage. The authors’ goal is to minimize the overall network energy consumption and carbon footprint emissions for accessing the cloud services for any pair of data centres i and j. The authors propose an optimization migration model based on the development of integer linear programming (ILP) models, to identify the leverage of green energy sources with data centres and the energy consumption of migrating VMs.

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Journal articles on the topic 'Network migration'

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