Academic literature on the topic 'Evolving'

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Journal articles on the topic "Evolving"

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Bohrer, Robert A. "Evolving Technology, Evolving Issues." Biotechnology Law Report 20, no. 3 (June 2001): 369. http://dx.doi.org/10.1089/073003101750297195.

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Berger, Abi. "Evolving practitioner, evolving practice." BMJ Sexual & Reproductive Health 45, no. 1 (January 2019): 73. http://dx.doi.org/10.1136/bmjsrh-2018-200258.

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Benson, Amy, and Robert Favini. "Evolving Web, Evolving Librarian." Library Hi Tech News 23, no. 7 (August 2006): 18–21. http://dx.doi.org/10.1108/07419050610704321.

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Purves, Drew, and Chrisantha Fernando. "Evolving brains in evolving environments." ACM SIGEVOlution 10, no. 2 (July 28, 2017): 6. http://dx.doi.org/10.1145/3129161.3129163.

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Devetter, Miloslav, Diego Fontaneto, Christian D. Jersabek, David B. Mark Welch, Linda May, and Elizabeth J. Walsh. "Preface: evolving rotifers, evolving science." Hydrobiologia 796, no. 1 (May 31, 2017): 1–6. http://dx.doi.org/10.1007/s10750-017-3241-0.

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Crookall, David. "Evolving." Simulation & Gaming 40, no. 3 (May 14, 2009): 290–96. http://dx.doi.org/10.1177/1046878109337760.

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Soden, Sarah E., Emily G. Farrow, Carol J. Saunders, and John D. Lantos. "Genomic medicine: evolving science, evolving ethics." Personalized Medicine 9, no. 5 (July 2012): 523–28. http://dx.doi.org/10.2217/pme.12.56.

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Wu, Xudong, Luoyi Fu, Zixin Zhang, Huan Long, Jingfan Meng, Xinbing Wang, and Guihai Chen. "Evolving Influence Maximization in Evolving Networks." ACM Transactions on Internet Technology 20, no. 4 (November 8, 2020): 1–31. http://dx.doi.org/10.1145/3409370.

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Kang, Yibin, and Charlotte Kuperwasser. "Evolving barcodes shed light into evolving metastases." Developmental Cell 56, no. 8 (April 2021): 1077–79. http://dx.doi.org/10.1016/j.devcel.2021.03.029.

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Stinneford, John F. "Evolving Away from Evolving Standards of Decency." Federal Sentencing Reporter 23, no. 1 (October 1, 2010): 87–91. http://dx.doi.org/10.1525/fsr.2010.23.1.87.

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Dissertations / Theses on the topic "Evolving"

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Coppersmith, Adam. "Evolving community." This title; PDF viewer required Home page for entire collection, 2007. http://archives.udmercy.edu:8080/dspace/handle/10429/9.

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Williams, Nathan Thomas. "Evolving Collections." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/8799.

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My art practice begins with the collecting, processing, and organizing of materials. Through experimentation, I have developed processes centered around a commitment of time and devotion to the plainest beauty of these found materials, their inherent properties, and related systems, making the resulting objects of order possible. Through my application of these personal ordering systems, I strive to bring intrigue and focus to the common and discarded. The process of finding and organizing common surplus materials has given me an understanding of myself, seeing things that may never have occurred were it not for these experiences. This practice has taken what might have been an unhealthy obsession and converted this energy into what I consider a positive outcome and an avenue to living a good productive life.
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Fuchs, Alexander Tinelli C. "Evolving model evolution." [Iowa City, Iowa] : University of Iowa, 2009. http://ir.uiowa.edu/etd/361.

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Christensen, P. A. "Oxygen-evolving photosystems." Thesis, Imperial College London, 1986. http://hdl.handle.net/10044/1/37971.

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Johnson, Michael Patrick 1971. "Evolving visual routines." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/61533.

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O'Hara, II John Thomas. "Evolving the Suburbs." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83824.

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The single family home is a building type synonymous with residential architecture among many in the United States. The notion that the ideal built character of a dwelling is a private structure, built on private land, and owned by a private entity is as old as that ownership equating to power in human history. Though the houses of today are no longer the literal manifestations of strength seen in the fortifications of feudal castles or wealth seen in the opulence of imperial palaces, the metaphorical implications remain. It was on these allegories that the Post-WWII housing boom capitalized, using slogans and advertisements meant to invoke the glory and strength of owning a home. They charged that a man was not truly a man until he owned his own home, and that this American Dream can be achieved for surprisingly low prices. Thus the home was commoditized and development after development of ‘single family homes’ were replicated across the country. 70 years later, these structures which were built quickly for cost efficiency, and with a very specific ‘single family’ in mind for their residents are reaching the end of their usable lives. The architecture which replaces or adds to them has significant power to redefine the notion of a single-family home and its surrounding neighborhood. This thesis seeks to understand the current trend of redevelopment in these areas and propose alternate solutions which enrich the built character of the community and expands on the notion of what residential architecture can be.
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Martin, Andrew Thomas. "The evolving lexicon." Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1481658121&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Kammeyer, Thomas E. "Evolving stochastic grammars /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1998. http://wwwlib.umi.com/cr/ucsd/fullcit?p9907601.

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Lim, Yow Tzu. "Evolving security policies." Thesis, University of York, 2010. http://etheses.whiterose.ac.uk/1612/.

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As computer system size and complexity grow, formulating effective policies require more sophistication. There are many risk factors that need to be considered, some of which may be in conflict. Inevitably, unpredictable circumstances that demand decisions will arise during operation. In some cases an automated response may be imperative; in other cases these may be ill-advised. Manual decisions are often made that override the current policy and serve effectively to redefine it. This matter is further complicated in highly dynamic operational environments like mobile ad-hoc networks, in which the risk factors may be changing continually. Thus, security policies must be able to change and adapt to the operational needs. This study investigates the potential of evolutionary algorithms as a tool in determining the optimal security policies that suit such environments. This thesis reviews some fundamental concepts in related domains. It presents three applications of evolutionary algorithms in solving problems that are of direct relevance. These include the inference of security policies from decision examples, the dynamic adaptation of security policies, and the optimisation of security policies for a specific set of missions. The results show that the inference approaches based on evolutionary algorithms are very promising. The thesis concludes with an evaluation of the work done, the extent to which the work justifies the thesis hypothesis and some possible directions on how evolutionary algorithms can be applied to address a wider range of relevant problems in the domain of concern.
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Fuchs, Alexander. "Evolving model evolution." Diss., University of Iowa, 2009. https://ir.uiowa.edu/etd/361.

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Automated theorem proving is a method to establish or disprove logical theorems. While these can be theorems in the classical mathematical sense, we are more concerned with logical encodings of properties of algorithms, hardware and software. Especially in the area of hardware verification, propositional logic is used widely in industry. Satisfiability Module Theories (SMT) is a set of logics which extend propositional logic with theories relevant for specific application domains. In particular, software verification has received much attention, and efficient algorithms have been devised for reasoning over arithmetic and data types. Built-in support for theories by decision procedures is often significantly more efficient than reductions to propositional logic (SAT). Most efficient SAT solvers are based on the DPLL architecture, which is also the basis for most efficient SMT solvers. The main shortcoming of both kinds of logics is the weak support for non-ground reasoning, which noticeably limits the applicability to real world systems. The Model Evolution Calculus (ME) was devised as a lifting of the DPLL architecture from the propositional setting to full first-order logic. In previous work, we created the solver Darwin as an implementation of ME, and showed how to adapt improvements from the DPLL setting. The first half of this thesis is concerned with ME and Darwin. First, we lift a further crucial ingredient of SAT and SMT solvers, lemma-learning, to Darwin and evaluate its benefits. Then, we show how to use Darwin for finite model finding, and how this application benefits from lemma-learning. In the second half of the thesis we present Model Evolution with Linear Integer Arithmetic (MELIA), a calculus combining function-free first-order logic with linear integer arithmetic (LIA). MELIA is based on ME and supports similar inference rules and redundancy criteria. We prove the correctness of the calculus, and show how to obtain complete proof procedures and decision procedures for some interesting classes of MELIA's logic. Finally, we explain in detail how MELIA can be implemented efficiently based on the techniques employed in SMT solvers and Darwin.
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Books on the topic "Evolving"

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de Supinski, Bronis R., Pedro Valero-Lara, Xavier Martorell, Sergi Mateo Bellido, and Jesus Labarta, eds. Evolving OpenMP for Evolving Architectures. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98521-3.

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Fetzer, James H. Consciousness evolving. Amsterdam: John Benjamins Pub., 2002.

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Fusco, Giuseppe. Evolving Pathways. Edited by Alessandro Minelli. Cambridge: Cambridge University Press, 2008. http://dx.doi.org/10.1017/cbo9780511541582.

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Fetzer, James H., ed. Consciousness Evolving. Amsterdam: John Benjamins Publishing Company, 2002. http://dx.doi.org/10.1075/aicr.34.

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Teraji, Shinji. Evolving Norms. New York: Palgrave Macmillan US, 2016. http://dx.doi.org/10.1057/978-1-137-50247-6.

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Fletcher, Angus. Evolving Hamlet. New York: Palgrave Macmillan US, 2011. http://dx.doi.org/10.1057/9780230118386.

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Beckmann, Arnold, Victor Mitrana, and Mariya Soskova, eds. Evolving Computability. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20028-6.

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Firestone, Caroline Hudson. Afghanistan evolving. Palm Desert, CA: [C.H. Firestone], 2004.

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Kelly, Erica. Evolving planet. New York: Harry N. Abrams, 2008.

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Organizations evolving. London: Sage Publications, 1999.

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Book chapters on the topic "Evolving"

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Laboy, M. "Evolving." In The Architecture of Persistence, 236–56. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003042013-14.

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Bongers, Bert. "Evolving." In Understanding Interaction: The Relationships Between People, Technology, Culture, and the Environment, 43–52. Boca Raton: Auerbach Publications, 2021. http://dx.doi.org/10.1201/9781315373386-2.

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Marsh, Michael N. "Evolving Man, Evolving Social Animal." In New Approaches to the Scientific Study of Religion, 51–61. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67326-0_3.

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Schuchart, Joseph, Keisuke Tsugane, José Gracia, and Mitsuhisa Sato. "The Impact of Taskyield on the Design of Tasks Communicating Through MPI." In Evolving OpenMP for Evolving Architectures, 3–17. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98521-3_1.

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Serrano, Maria A., Sara Royuela, and Eduardo Quiñones. "Towards an OpenMP Specification for Critical Real-Time Systems." In Evolving OpenMP for Evolving Architectures, 143–59. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98521-3_10.

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Xin, Tianmu, Zhengji Zhao, Yue Hao, Binping Xiao, Qiong Wu, Alexander Zaltsman, Kevin Smith, and Xinmin Tian. "Performance Tuning to Close Ninja Gap for Accelerator Physics Emulation System (APES) on Intel$$^{\textregistered }$$ Xeon Phi$$^{\mathrm{TM}}$$ Processors." In Evolving OpenMP for Evolving Architectures, 163–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98521-3_11.

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Agrawal, Vishakha, Michael J. Voss, Pablo Reble, Vasanth Tovinkere, Jeff Hammond, and Michael Klemm. "Visualization of OpenMP* Task Dependencies Using Intel® Advisor – Flow Graph Analyzer." In Evolving OpenMP for Evolving Architectures, 175–88. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98521-3_12.

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Liao, Chunhua, Pei-Hung Lin, Markus Schordan, and Ian Karlin. "A Semantics-Driven Approach to Improving DataRaceBench’s OpenMP Standard Coverage." In Evolving OpenMP for Evolving Architectures, 189–202. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98521-3_13.

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Gautier, Thierry, Christian Perez, and Jérôme Richard. "On the Impact of OpenMP Task Granularity." In Evolving OpenMP for Evolving Architectures, 205–21. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98521-3_14.

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Kemp, Jeremy, and Barbara Chapman. "Mapping OpenMP to a Distributed Tasking Runtime." In Evolving OpenMP for Evolving Architectures, 222–35. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98521-3_15.

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Conference papers on the topic "Evolving"

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Purves, Drew, and Chrisantha Fernando. "Evolving brains in evolving environments." In GECCO '17: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3071178.3106408.

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Khelladi, Djamel Eddine, Benoit Combemale, Mathieu Acher, Olivier Barais, and Jean-Marc Jézéquel. "Co-evolving code with evolving metamodels." In ICSE '20: 42nd International Conference on Software Engineering. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3377811.3380324.

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Thurston, Adrian, and James Cordy. "Evolving TXL." In 2006 Sixth IEEE International Workshop on Source Code Analysis and Manipulation. IEEE, 2006. http://dx.doi.org/10.1109/scam.2006.14.

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Brown, Andrew R., Steve Dillon, Thorin Kerr, and Andrew Sorensen. "Evolving interactions." In the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1738826.1738834.

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Mansfield, Tim, Simon Kaplan, Geraldine Fitzpatrick, Ted Phelps, Mark Fitzpatrick, and Richard Taylor. "Evolving Orbit." In the international ACM SIGGROUP conference. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/266838.266919.

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Marsh, Ian, Nicolae Paladi, Henrik Abrahamsson, Jonas Gustafsson, Johan Sjöberg, Andreas Johnsson, Pontus Sköldström, et al. "Evolving 5G." In CF '21: Computing Frontiers Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3457388.3458622.

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Rideau, Francois-René, and Robert P. Goldman. "Evolving ASDF." In the 2010 international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1869643.1869648.

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Nabi, Zubair, Toby Moncaster, Anil Madhavapeddy, Steven Hand, and Jon Crowcroft. "Evolving TCP." In the 2012 ACM conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2413247.2413270.

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Poutievski, Leon, Omid Mashayekhi, Joon Ong, Arjun Singh, Mukarram Tariq, Rui Wang, Jianan Zhang, et al. "Jupiter evolving." In SIGCOMM '22: ACM SIGCOMM 2022 Conference. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3544216.3544265.

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Janssen, Patrick, and Vignesh Kaushik. "Evolving Lego." In CAADRIA 2014: Rethinking Comprehensive Design: Speculative Counterculture. CAADRIA, 2014. http://dx.doi.org/10.52842/conf.caadria.2014.523.

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Reports on the topic "Evolving"

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Bachewe, Fantu Nisrane, Bart Minten, Fanaye Tadesse, and Alemayehu Seyoum Taffesse. Evolving livestock sector. Washington, DC: International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/9780896296916_05.

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Waagen, D. E., J. D. Argast, and J. R. McDonnell. Evolving Wavelet Compression Strategies. Fort Belvoir, VA: Defense Technical Information Center, June 1994. http://dx.doi.org/10.21236/ada281247.

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McCabe, Patrick K. The Evolving Data Dictionary. Fort Belvoir, VA: Defense Technical Information Center, February 1992. http://dx.doi.org/10.21236/ada249030.

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Minten, Bart, Mekdim Dereje, Fantu Nisrane Bachewe, and Seneshaw Tamru. Evolving food value chains. Washington, DC: International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/9780896296916_07.

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McDonnell, John R., and Don Waagen. Evolving Neural Network Architecture. Fort Belvoir, VA: Defense Technical Information Center, March 1993. http://dx.doi.org/10.21236/ada264802.

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McDonnell, J. R., and D. Waagen. Evolving Neural Network Connectivity. Fort Belvoir, VA: Defense Technical Information Center, October 1993. http://dx.doi.org/10.21236/ada273134.

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Carper, C. H., and LeRoy T. Burrows. Evolving Crashworthiness Design Criteria. Fort Belvoir, VA: Defense Technical Information Center, December 1988. http://dx.doi.org/10.21236/adp005801.

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Sweijs, Tim, Joshua Polchar, Boaz Manger, Willem Oosterveld, and Laurin Nabuko Hainy. Assessing Evolving Concepts of Security. Procon, February 2015. http://dx.doi.org/10.11610/evocs.d31.

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Garrity, Chris. Continuous Validation of Evolving Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada401119.

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Macskassy, Sofus. Evolve: Analyzing Evolving Social Networks. Fort Belvoir, VA: Defense Technical Information Center, July 2012. http://dx.doi.org/10.21236/ada564174.

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