Academic literature on the topic 'Diffusion cascades'
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Journal articles on the topic "Diffusion cascades"
Han, Jinyoung, Daejin Choi, Jungseock Joo, and Chen-Nee Chuah. "Predicting Popular and Viral Image Cascades in Pinterest." Proceedings of the International AAAI Conference on Web and Social Media 11, no. 1 (May 3, 2017): 82–91. http://dx.doi.org/10.1609/icwsm.v11i1.14879.
Full textSharma, Karishma, Xinran He, Sungyong Seo, and Yan Liu. "Network Inference from a Mixture of Diffusion Models for Fake News Mitigation." Proceedings of the International AAAI Conference on Web and Social Media 15 (May 22, 2021): 668–79. http://dx.doi.org/10.1609/icwsm.v15i1.18093.
Full textBALMFORTH, N. J., and W. R. YOUNG. "Diffusion-limited scalar cascades." Journal of Fluid Mechanics 482 (May 10, 2003): 91–100. http://dx.doi.org/10.1017/s0022112003003914.
Full textSun, Ling, Yuan Rao, Xiangbo Zhang, Yuqian Lan, and Shuanghe Yu. "MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 4 (June 28, 2022): 4156–64. http://dx.doi.org/10.1609/aaai.v36i4.20334.
Full textHellmann, M., D. W. Heermann, and M. Weiss. "Enhancing phosphorylation cascades by anomalous diffusion." EPL (Europhysics Letters) 97, no. 5 (February 22, 2012): 58004. http://dx.doi.org/10.1209/0295-5075/97/58004.
Full textWhite, D. A. "Gas diffusion cascades—properties and optimization." Chemical Engineering Science 45, no. 6 (1990): 1567–70. http://dx.doi.org/10.1016/0009-2509(90)80008-3.
Full textHuang, Ningbo, Gang Zhou, Mengli Zhang, Meng Zhang, and Ze Yu. "Modelling the Latent Semantics of Diffusion Sources in Information Cascade Prediction." Computational Intelligence and Neuroscience 2021 (September 29, 2021): 1–12. http://dx.doi.org/10.1155/2021/7880215.
Full textVan Rossum, M., and Y. T. Cheng. "Diffusion in Collision Cascades: a Thermodynamic Viewpoint." Defect and Diffusion Forum 57-58 (January 1988): 1–32. http://dx.doi.org/10.4028/www.scientific.net/ddf.57-58.1.
Full textRossi, Francois, and N. V. Doan. "Nonlinear effects of diffusion in displacement cascades." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 61, no. 1 (July 1991): 27–37. http://dx.doi.org/10.1016/0168-583x(91)95556-s.
Full textSMITH, K. S., G. BOCCALETTI, C. C. HENNING, I. MARINOV, C. Y. TAM, I. M. HELD, and G. K. VALLIS. "Turbulent diffusion in the geostrophic inverse cascade." Journal of Fluid Mechanics 469 (October 15, 2002): 13–48. http://dx.doi.org/10.1017/s0022112002001763.
Full textDissertations / Theses on the topic "Diffusion cascades"
Hobbs, J. E. "The use of radiation-enhanced diffusion to study collision cascades in solids." Thesis, University of Salford, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.356167.
Full textGrove, Darren V. "Experimental and numerical investigation of second-generation, controlled-diffusion, compressor blades in cascade." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA333407.
Full textFitoussi, Thomas. "Les cascades électromagnétiques cosmologiques comme sondes du milieu intergalactique." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30235/document.
Full textThis thesis aims at studying "cosmological electromagnetic cascades". These cascades are initiated by the absorption of very high energy gamma-rays through gamma-gamma annihilation with optical / UV background photons of the intergalactic medium. In this interaction, electron/positron pairs are produced. The newly created leptons interact with photons of the Cosmological Microwave Background producing new gamma-rays through inverse Compton scattering which can also annihilate producing a cascade of secondary particles from a single primary photon. Observationally, the development of this cascade has three effects : the observed high energy spectrum is altered, observed photons arrive with a time delay with respect to primary photons and the source appears extended. Cosmological electromagnetic cascades start to being studied in the early sixties. But it is during the 2010's with the Fermi satellite and GeV to TeV observations that the field has really started to being explored. In the fast evolving backgound of gamma-ray astronomy, understanding the cascade physics has become a crucial stake. First the observed spectrum from a distant source is altered, which directly affects the modelling of high energy sources. Secondly, the cascades develop in the extragalactic medium and are very sensitive to its composition (background light, magnetic field). This medium is hard to study because it is extremely thin. Hence the cosmological cascades are a formidable probe to access its comprehension and its origin coming from the very beginning of our Universe. Yet the cosmological cascades are a complex phenomenon which involves complicated interactions (complex cross sections) and transport of particles in an expanding Universe. Analytical expressions are rapidly limited and numerical computations are required. In this thesis a Monte Carlo simulation code has been developed aiming at reproducing the cosmological cascades. This code has been tested and validated against analytical expressions. With the simulation code, a systematic study of the parameters impacting the development of the cascade has been led. This study allows a better understanding of the cascade physics. Especially, the impact of the intergalactic medium properties (extragalactic background light, extragalactic magnetic field) on the observables has been highlighted. Finally, a second study has been done to measure the contribution of cascades to the extragalactic gamma ray background. Recent works show that a great part of the diffuse emission at very high energy is explained by unresolved sources (blazars in particular). These gamma sources (resolved and unresolved) must in principle initiate cosmological cascades which can also contribute to the extragalactic gamma ray background. Starting from a modeling of the blazars at different redshifts, absorption and contribution of the cascades have been estimated with the simulation code. The results show that the contribution of the cascades might violate the Fermi limits but the excess must be confirmed
Faria, Bernardes Daniel. "Information Diffusion in Complex Networks : Measurement-Based Analysis Applied to Modelling." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2014. http://tel.archives-ouvertes.fr/tel-01001763.
Full textLemonnier, Rémi. "Application des processus stochastiques aux enchères en temps réel et à la propagation d'information dans les réseaux sociaux." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLN068/document.
Full textIn this thesis, we study two applications of stochastic processes in internet marketing. The first chapter focuses on internet user scoring for real-time bidding. This problem consists in finding the probability for a given user to perform an action of interest, called conversion, in the next few days. We show that Hawkes processes are well suited for modelizing this phenomena but that state-of-the-art algorithms are not applicable to the size of datasets involved. We therefore develop two new algorithms able to perform nonparametric multivariate Hawkes process inference orders of magnitude faster than previous methods. We show empirically that the first one outperforms state-of-the-art competitors, and the second one scales to very large datasets while keeping very high prediction power. The resulting algorithms have been implemented with very good performances for several years in 1000mercis, a pioneering marketing agency being the industrial partner of this CIFRE PhD, where they became an important business asset. The second chapter focuses on diffusion processes graphs, an important tool for modelizing the spread of a viral marketing operation over social networks. We derive the first theoretical bounds for the total number of nodes reached by a contagion for general graphs and diffusion dynamics, and show the existence of two well distinct regimes: the sub-critical one where at most $O(sqrt{n})$ nodes are infected, where $n$ is the size of the network, and the super-critical one where $O(n)$ nodes can be infected. We also study the behavior wrt to the observation time $T$ and reveals the existence of critical times under which a long-term super-critical diffusion process behaves sub-critically. Finally, we extend our works to different application fields, and improve state-of-the-art results in percolation and epidemiology
Hansen, Dennis J. "Investigation of second generation controlled-diffusion compressor blades in cascade." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA304897.
Full textThesis advisor(s): Garth V. Hobson. "September 1995." Includes bibliographical references. Also available online.
Nicholls, Jennifer L. "Investigation of flow over second generation controlled-diffusion blades in a linear cascade." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA370892.
Full text"September 1999". Thesis advisor(s): Garth V. Hobson. Includes bibliographical references (p. 99). Also Available online.
Wakefield, Bryce Edwin. "Hotwire measurements of the turbulent flow into a cascade of controlled-diffusion compressor blades." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA277297.
Full textGanaim, Rickel Humberto Javier. "Laser-Doppler velocimeter measurements in a cascade of controlled diffusion compressor blades at stall." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA283416.
Full textFitzgerald, Kevin D. "Examination of flow around second-generation controlled diffusion compressor blades in cascade at stall." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FFitzgerald.pdf.
Full textBooks on the topic "Diffusion cascades"
Grove, Darren V. Experimental and numerical investigation of second-generation, controlled-diffusion, compressor blades in cascade. Monterey, Calif: Naval Postgraduate School, 1997.
Find full textHobbs, Jacqueline Elizabeth. The use of radiation-enhanced diffusion to study collision cascades in solids. Salford: Universityof Salford, 1985.
Find full textElazar, Yekutiel. A mapping of the viscous flow behavior in a controlled diffusion compressor cascade using laser doppler velocimetry and preliminary evaluation of codes for the prediction of stall. Monterey, California: Naval Postgraduate School, 1988.
Find full textSchnorenberg, David G. Investigation of the effect of Reynolds number on laminar separation bubbles on controlled-diffusion compressor blades in cascade. Monterey, Calif: Naval Postgraduate School, 1996.
Find full textDober, David Michael. Three-dimensional fiber-optical LDV measurements in the endwall region of a linear cascade of controlled-diffusion stator blades. Monterey, Calif: Naval Postgraduate School, 1993.
Find full textA compendium of controlled diffusion blades generated by an automated inverse design procedure. [Washington, DC]: National Aeronautics and Space Administration, 1989.
Find full textNikerov, V. A. Fast Particle Degradation Diffusion Cascade (Physics Reviews). Taylor & Francis, 2000.
Find full textBianconi, Ginestra. Multilayer Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.001.0001.
Full textPrescott, Tony J., and Leah Krubitzer. Evo-devo. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0008.
Full textInvestigation of Flow Over Second Generation Controlled-Diffusion Bladesin a Linear Cascade. Storming Media, 1999.
Find full textBook chapters on the topic "Diffusion cascades"
Wang, Meng, and Kan Li. "Predicting Information Diffusion Cascades Using Graph Attention Networks." In Communications in Computer and Information Science, 104–12. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63820-7_12.
Full textdella Porta, Donatella. "1. Riding the wave. Protest cascades, and what we can learn from them." In Global Diffusion of Protest, edited by Donatella della Porta, 9–30. Amsterdam: Amsterdam University Press, 2017. http://dx.doi.org/10.1515/9789048531356-002.
Full textPanagopoulos, George, Fragkiskos D. Malliaros, and Michalis Vazirgiannis. "DiffuGreedy: An Influence Maximization Algorithm Based on Diffusion Cascades." In Studies in Computational Intelligence, 392–404. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05411-3_32.
Full textWang, Senzhang, Honghui Zhang, Jiawei Zhang, Xiaoming Zhang, Philip S. Yu, and Zhoujun Li. "Inferring Diffusion Networks with Sparse Cascades by Structure Transfer." In Database Systems for Advanced Applications, 405–21. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18120-2_24.
Full textDou, Peng, Sizhen Du, and Guojie Song. "Inferring Diffusion Network on Incomplete Cascade Data." In Web-Age Information Management, 325–37. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39937-9_25.
Full textPorto de Oliveira, Osmany. "The Cascade: From the Tipping Point to Mass Diffusion." In International Policy Diffusion and Participatory Budgeting, 129–65. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43337-0_5.
Full textLv, Ruilin, Chengxi Zang, Wai Kin (Victor) Chan, and Wenwu Zhu. "Analyzing WeChat Diffusion Cascade: Pattern Discovery and Prediction." In Smart Service Systems, Operations Management, and Analytics, 379–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30967-1_34.
Full textMoroz, Anna, Sergei Pashakhin, and Sergei Koltsov. "Modeling Cascade Growth: Predicting Content Diffusion on VKontakte." In Lecture Notes in Networks and Systems, 180–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64877-0_12.
Full textHo, Thi Kim Thoa, Quang Vu Bui, and Marc Bui. "Homophily Independent Cascade Diffusion Model Based on Textual Information." In Computational Collective Intelligence, 134–45. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98443-8_13.
Full textWang, Ding, Lingwei Wei, Chunyuan Yuan, Yinan Bao, Wei Zhou, Xian Zhu, and Songlin Hu. "Cascade-Enhanced Graph Convolutional Network for Information Diffusion Prediction." In Database Systems for Advanced Applications, 615–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-00123-9_50.
Full textConference papers on the topic "Diffusion cascades"
Chen, Xueqin, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, and Fengli Zhang. "Information Diffusion Prediction via Recurrent Cascades Convolution." In 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE, 2019. http://dx.doi.org/10.1109/icde.2019.00074.
Full textZhou, Fan, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, and Ting Zhong. "Variational Information Diffusion for Probabilistic Cascades Prediction." In IEEE INFOCOM 2020 - IEEE Conference on Computer Communications. IEEE, 2020. http://dx.doi.org/10.1109/infocom41043.2020.9155349.
Full textShi, Chaoyi, Qi Zhang, and Tianguang Chu. "Provenance Identification in Diffusion Networks with Incomplete Cascades." In 2018 37th Chinese Control Conference (CCC). IEEE, 2018. http://dx.doi.org/10.23919/chicc.2018.8483866.
Full textWang, Zhitao, and Wenjie Li. "Hierarchical Diffusion Attention Network." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/531.
Full textYang, Ming-Hao, Chung-Kuang Chou, and Ming-Syan Chen. "Cluster cascades: Infer multiple underlying networks using diffusion data." In 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2014). IEEE, 2014. http://dx.doi.org/10.1109/asonam.2014.6921597.
Full textZhang, Bo, Qiong Wu, Xu Chen, and Liang Chen. "Information Cascades over Diffusion-Restricted Social Network: A Data-Driven Analysis." In IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2019. http://dx.doi.org/10.1109/infcomw.2019.8845264.
Full textWang, Yongqing, Huawei Shen, Shenghua Liu, Jinhua Gao, and Xueqi Cheng. "Cascade Dynamics Modeling with Attention-based Recurrent Neural Network." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/416.
Full textZhao, Yunwei, Can Wang, Chi-Hung Chi, Kwok-Yan Lam, and Sen Wang. "A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/169.
Full textNagase, Takuya, and Sho Tsuguwa. "Effectiveness of a Data-based Influence Maximization Algorithm Using Information Diffusion Cascades." In 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2021. http://dx.doi.org/10.1109/compsac51774.2021.00062.
Full textWilliams, Richard, Grant Ingram, and David Gregory-Smith. "Large Tip Clearance Flows in Two Compressor Cascades." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22952.
Full textReports on the topic "Diffusion cascades"
Simmons, D. W. An introduction to technetium in the gaseous diffusion cascades. Office of Scientific and Technical Information (OSTI), September 1996. http://dx.doi.org/10.2172/469160.
Full textMansur, L. K., A. D. Brailsford, and W. A. Coghlan. Cascade diffusion theory of sink capture fluctuations during irradiation of a solid. Office of Scientific and Technical Information (OSTI), January 1985. http://dx.doi.org/10.2172/6108807.
Full textDr. Ala Qubbaj. CONTROL OF POLLUTANT EMISSIONS IN NATURAL GAS DIFFUSION FLAMES BY USING CASCADE BURNERS. Office of Scientific and Technical Information (OSTI), December 2001. http://dx.doi.org/10.2172/810444.
Full textAla Qubbaj. CONTROL OF POLLUTANT EMISSIONS IN NATURAL GAS DIFFUSION FLAMES BY USING CASCADE BURNERS. Office of Scientific and Technical Information (OSTI), March 2001. http://dx.doi.org/10.2172/833196.
Full textHuffer, J. E. Nuclear criticality safety aspects of gaseous uranium hexafluoride (UF{sub 6}) in the diffusion cascade. Office of Scientific and Technical Information (OSTI), April 1997. http://dx.doi.org/10.2172/459892.
Full textP. L. Kerr, D. A. Close, W. S. Johnson, R. M. Kandarian, C. E. Moss, and C. D. Romero. IAEA Verification Experiment at the Portsmouth Gaseous Diffusion Plant: Report on the Cascade Header Enrichment Monitor. Office of Scientific and Technical Information (OSTI), March 1999. http://dx.doi.org/10.2172/8200.
Full textNegron, S. B., R. W. Jr Tayloe, and M. C. Dobelbower. Analysis of criticality alarm system response to an accidental criticality outside the cascade process buildings at the Portsmouth Gaseous Diffusion Plant. Office of Scientific and Technical Information (OSTI), July 1994. http://dx.doi.org/10.2172/10190511.
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