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Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes [article]

Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima
2021 arXiv   pre-print
In this paper, we propose a novel Hawkes process model that is able to capture the underlying dynamics of community states behind the diffusion processes and predict the occurrences of events based on  ...  The proposed method, termed DHP (Dynamic Hawkes Processes), offers a flexible way to learn complex representations of the time-evolving communities' states, while at the same time it allows to computing  ...  Several studies incorporate the time-variant dynamics of the community states behind diffusion processes into the Hawkes process formulation.  ... 
arXiv:2105.11152v1 fatcat:w37eutqg4bahxjcevfybomazrm

The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks [article]

Sikun Yang, Heinz Koeppl
2020 arXiv   pre-print
The base rate of the Hawkes process for each pair of individuals is built upon the latent representations inferred using the hierarchical gamma process edge partition model (HGaP-EPM).  ...  Experimental results on real-world datasets demonstrate that our model not only achieves competitive performance for temporal link prediction compared with state-of-the-art methods, but also discovers  ...  Acknowledgements We thank the anonymous reviewers for the many useful comments that improved this manuscript.  ... 
arXiv:2006.12952v1 fatcat:guyccfrt7bahlkvwskeehipcmq

A dialog on the fate of information in black hole evaporation [article]

Alejandro Perez, Daniel Sudarsky
2022 arXiv   pre-print
We present two alternative perspectives for the resolution of Hawking's information puzzle in black hole evaporation. The two views are deeply contrasting, yet they share several common aspects.  ...  In this respect both of our scenarios are deeply influenced by ideas that Roger Penrose has advocated at various times and thus serves to illustrate the lasting influence that his deep thinking on these  ...  He is grateful for the support provided by the grant FQXI-MGA-1920 from the Foundational Questions Institute and the Fetzer Franklin Fund, a donor advised by the Silicon Valley Community Foundation.  ... 
arXiv:2205.08469v1 fatcat:cahvltftkja5ngl2uxu5ayhs3u

A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances [article]

Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang
2020 arXiv   pre-print
Abundant research efforts, both academic and industrial, have aimed to reach a better understanding of the mechanisms driving the spread of information and quantifying the outcome of information diffusion  ...  This article presents a comprehensive review and categorization of information popularity prediction methods, from feature engineering and stochastic processes, through graph representation, to deep learning-based  ...  Hawkes processes.  ... 
arXiv:2005.11041v2 fatcat:wxn5azl25vhe7pnulkfpehezey

The Transfer of Entanglement: The Case for Firewalls [article]

Leonard Susskind
2012 arXiv   pre-print
As a one-sided black hole evaporates the entanglement that accounts for its interior degrees of freedom disappears, and is gradually replaced by entanglement with the outgoing Hawking radiation.  ...  But for real black holes which are formed from collapse there are no second sides. The sense in which horizon entropy is entanglement entropy is much more subtle for one-sided black holes.  ...  Moreover, the microscopic information carried by the particle will diffused by the fast-scrambling process and will modify the entanglements present on the stretched horizon.  ... 
arXiv:1210.2098v1 fatcat:yr524fm6hnbihjk4rzuxrgm3ca

A Survey on Embedding Dynamic Graphs [article]

Claudio D. T. Barros, Matheus R. F. Mendonça, Alex B. Vieira, Artur Ziviani
2021 arXiv   pre-print
Therefore, several methods for embedding dynamic graphs have been proposed to learn network representations over time, facing novel challenges, such as time-domain modeling, temporal features to be captured  ...  We also elucidate main applications, including dynamic link prediction, anomaly detection, and diffusion prediction, and we further state some promising research directions in the area.  ...  dynamic processes in the network (such as diffusion cascades).  ... 
arXiv:2101.01229v2 fatcat:lqjkkksn45g7beizhcstakf6ry

Black Holes, Information Loss, and Hidden Variables [article]

Antony Valentini
2004 arXiv   pre-print
It is suggested that Hawking information loss, associated with the transition from a pure to a mixed quantum state, is compensated for by the creation of deviations from Born-rule probabilities outside  ...  Further, it is argued that even for a macroscopic black hole, if one half of an entangled EPR-pair should fall behind the event horizon, the other half will develop similar statistical anomalies.  ...  In the time-reversal invariant dynamics defined by (6) and (7) , for every initial state that evolves towards equilibrium one can construct a time-reversed 'initial' state that evolves away from equilibrium  ... 
arXiv:hep-th/0407032v1 fatcat:6wzqbjs5bnctlgdqxrmjp52jim

Black Holes, the Big Bang and the Habitable Universe: Are They Really Compatible?

Ahmad A. Hujeirat
2018 Journal of Modern Physics  
Acknowledgements The author thanks the IWR for financially supporting this work, Adi Nusser/Technion for the illuminating discussions and the referees for their valuable comments.  ...  The process here evolves from inside-to-outside and relatively slowly compared to the dynamical time scale of the object.  ...  quasars were discovered.  ... 
doi:10.4236/jmp.2018.91005 fatcat:aptzpdhg2zhjrbs5s75iqmokgq

Pathobiology of Neurodegeneration: The Role for Astroglia

Susanna Gordleeva, Veronika Samborska, Ekkehard Ullner, Albina Lebedeva, Viktor Kazantsev, Mikhail Ivanchenko, Alexey Zaikin
2016 Opera medica et physiologica  
, emergence of collective dynamics and taking account of unexpected behavior and regimes due to nonlinearity.  ...  A conspicuous ability of the mammalian brain to integrate and process huge amount of spatial, visual and temporal stimuli is a result of its enormous structural complexity functioning in an integrated  ...  Kuznetsova for Fig. 6 .  ... 
doi:10.20388/omp2016.001.0024 fatcat:dnqgkhhrxzaahlxjfqy3hkzaku

To boldly go: an occam-π mission to engineer emergence

Peter H. Welch, Kurt Wallnau, Adam T. Sampson, Mark Klein
2012 Natural Computing  
, at the current time.  ...  predictably emerge through dynamic interactions between massive numbers of instances.  ...  We are also very grateful to our Editors and anonymous referees for their constructive and helpful criticism.  ... 
doi:10.1007/s11047-012-9304-2 fatcat:vtvbs6dwgbgwbijxz475xdwm5m

Science, Technology and Non Equilibrium Statistical Mechanics [article]

Clóves Gonçalves Rodrigues, Roberto Luzzi
2021 arXiv   pre-print
and ultrafast processes in semiconductors devices, and soft matter.  ...  in semiconductors devices; 3. nonequilibrium Bose-Einstein-like condensations and coherent states; 4. low-dimensional semiconductors; 5. thermo-statistics of complex structured systems; 6. nonlinear higher-order  ...  At the time it was published, the Second World War -the driving force behind many scientific and engineering accomplishments -has just ended and the United States faced fundamental questions about the  ... 
arXiv:2111.03429v1 fatcat:axsistjjhzfffjxcdbk2qiybhe

Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey

Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
2022 IEEE Access  
INDEX TERMS Complex network systems, digital twins, dynamic processes, network dynamics.  ...  CNS dynamics modelled offline in the 1st generation v.s. CNS dynamics modelled simultaneously with a two-way real time feedback between reality and the CNS in the 5th generation).  ...  2 with two variations: dynamic process on evolving networks and evolving dynamic process on static networks, (iii) generation 3: evolving dynamic processes on evolving networks with interrelations between  ... 
doi:10.1109/access.2022.3184801 fatcat:q7glnphnobbkxforsqbafpgbri

How IT Service Suppliers Acquire Capabilities in Outsourcing Alliances: an Evolutionary Perspective

Ning Su, Natalia Levina, Hao Lou
2010 International Conference on Information Systems  
This research focuses on the dynamic strategy process by which suppliers acquire capabilities in outsourcing alliances.  ...  This learning process is especially critical for the survival and growth of suppliers that are in the early or expansionary stages of their lifecycle.  ...  Capabilities evolve over time, and their transformation can be facilitated if the firm possesses dynamic capabilities (Helfat and Peteraf 2003) , which are meta-routines that extend, modify, or create  ... 
dblp:conf/icis/SuLL10 fatcat:lsoqi4rjcnf7ph3pkemqr2ulum

Theoretical Framework And Its Relevance To Geographic Studies: An Application Of Innovation Diffusion Theory In CWM

Innocent E. Bello, Matthew E. Ufuah
2018 American Journal of Geographical Research and Reviews  
An empirical application of innovation diffusion theory in geographic study (collaborative web mapping -CWM) is presented.  ...  In particular, the paper discussed the rationale behind the formulation and application of theoretical framework in carrying out a reliable geographic study.  ...  to carry out research that can stand the test of time in theory and in principle (Hawking, 1988; Obadan, 2012) .  ... 
doi:10.28933/ajgrr-2018-01-2801 fatcat:cpyty7e3afhhjbvljlk4zvdc7y

Data science: a game changer for science and innovation

Valerio Grossi, Fosca Giannotti, Dino Pedreschi, Paolo Manghi, Pasquale Pagano, Massimiliano Assante
2021 International Journal of Data Science and Analytics  
Finally, this work outlines SoBigData Research Infrastructure as an easy-to-access platform for executing complex data science processes.  ...  AbstractThis paper shows data science's potential for disruptive innovation in science, industry, policy, and people's lives.  ...  Considering diffusive models and dynamic networks, NDlib [40] is a Python package for the description, simulation, and observation of diffusion processes in complex networks.  ... 
doi:10.1007/s41060-020-00240-2 fatcat:x24cifqkofd33nbos5iwxkzciy
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