@article{Hoonlor:2013:TCS:2507771.2500892,
  abstract = {Keywords in the ACM Digital Library and IEEE Xplore digital library and in NSF grants anticipate future CS research.},
  acmid = {2500892},
  address = {New York, NY, USA},
  author = {Hoonlor, Apirak and Szymanski, Boleslaw K. and Zaki, Mohammed J.},
  doi = {10.1145/2500892},
  interhash = {425133ebceab2bce5f418ffd9917df55},
  intrahash = {4a2aee492bfcfcdbbcc7774bdcddd4a2},
  issn = {0001-0782},
  issue_date = {October 2013},
  journal = {Commun. ACM},
  month = oct,
  number = 10,
  numpages = {10},
  pages = {74--83},
  publisher = {ACM},
  title = {Trends in Computer Science Research},
  url = {http://doi.acm.org/10.1145/2500892},
  volume = 56,
  year = 2013
}

@book{0130950696,
  asin = {0130950696},
  author = {Jurafsky, Daniel and Martin, James H.},
  dewey = {410.285},
  ean = {9780130950697},
  edition = 1,
  interhash = {ae1205b1f526d068fc9364510bf99418},
  intrahash = {25110e6691b5ee9dbe97216ce087487f},
  isbn = {0130950696},
  publisher = {Prentice Hall},
  title = {Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition (Prentice Hall Series in Artificial Intelligence)},
  url = {http://www.amazon.com/Speech-Language-Processing-Introduction-Computational/dp/0130950696%3FSubscriptionId%3D13CT5CVB80YFWJEPWS02%26tag%3Dws%26linkCode%3Dxm2%26camp%3D2025%26creative%3D165953%26creativeASIN%3D0130950696},
  year = 2000
}

@article{sun2013social,
  author = {Sun, Xiaoling and Kaur, Jasleen and Milojevic, Stasa and Flammini, Alessandro and Menczer, Filippo},
  comment = {10.1038/srep01069},
  interhash = {5cd31392e997555d78596f962044f84b},
  intrahash = {ed28353b082f3ccbd23ea85ea9d7c8e5},
  journal = {Sci. Rep.},
  month = jan,
  publisher = {Macmillan Publishers Limited. All rights reserved},
  title = {Social Dynamics of Science},
  url = {http://dx.doi.org/10.1038/srep01069},
  volume = 3,
  year = 2013
}

@article{lindsey2011parsing,
  address = {Routledge},
  author = {Harrison, Jill Lindsey},
  interhash = {6b1e18823139ad15756bc200b40048ff},
  intrahash = {a40eaca13e7d7ea916275dda75413966},
  issn = {0894-1920},
  journal = {Society & Natural Resources: An International Journal},
  pages = {702 - 716},
  series = 7,
  title = {Parsing “Participation” in Action Research: Navigating the Challenges of Lay Involvement in Technically Complex Participatory Science Projects},
  url = {http://www.informaworld.com/10.1080/08941920903403115},
  volume = 24,
  year = 2011
}

@article{pham2011development,
  abstract = {In contrast to many other scientific disciplines, computer science considers conference publications. Conferences have the advantage of providing fast publication of papers and of bringing researchers together to present and discuss the paper with peers. Previous work on knowledge mapping focused on the map of all sciences or a particular domain based on ISI published Journal Citation Report (JCR). Although this data cover most of the important journals, it lacks computer science conference and workshop proceedings, which results in an imprecise and incomplete analysis of the computer science knowledge. This paper presents an analysis on the computer science knowledge network constructed from all types of publications, aiming at providing a complete view of computer science research. Based on the combination of two important digital libraries (DBLP and CiteSeerX), we study the knowledge network created at journal/conference level using citation linkage, to identify the development of sub-disciplines. We investigate the collaborative and citation behavior of journals/conferences by analyzing the properties of their co-authorship and citation subgraphs. The paper draws several important conclusions. First, conferences constitute social structures that shape the computer science knowledge. Second, computer science is becoming more interdisciplinary. Third, experts are the key success factor for sustainability of journals/conferences.},
  address = {Wien},
  affiliation = {Information Systems and Database Technology, RWTH Aachen University, Aachen, Ahornstr. 55, 52056 Aachen, Germany},
  author = {Pham, Manh and Klamma, Ralf and Jarke, Matthias},
  doi = {10.1007/s13278-011-0024-x},
  interhash = {193312234ed176aa8be9f35d4d1c4e72},
  intrahash = {8ae08cacda75da80bfa5604cfce48449},
  issn = {1869-5450},
  journal = {Social Network Analysis and Mining},
  keyword = {Computer Science},
  number = 4,
  pages = {321--340},
  publisher = {Springer},
  title = {Development of computer science disciplines: a social network analysis approach},
  url = {http://dx.doi.org/10.1007/s13278-011-0024-x},
  volume = 1,
  year = 2011
}

@article{david2010choosing,
  address = {Taylor & Francis},
  author = {Millard, David and Wang, Weigang},
  interhash = {a1a6a5dfe96478c0dbefc023c506b2f9},
  intrahash = {2701194e85b7702909291740063dbf37},
  issn = {1361-4568},
  journal = {New Review of Hypermedia and Multimedia},
  pages = {3 - 8},
  series = 1,
  title = {Choosing our Science},
  url = {http://www.informaworld.com/10.1080/13614568.2010.501569},
  volume = 16,
  year = 2010
}

@article{wilson2012practices,
  abstract = {Scientists spend an increasing amount of time building and using software. However, most scientists are never taught how to do this efficiently. As a result, many are unaware of tools and practices that would allow them to write more reliable and maintainable code with less effort. We describe a set of best practices for scientific software development that have solid foundations in research and experience, and that improve scientists' productivity and the reliability of their software.},
  author = {Wilson, Greg and Aruliah, D. A. and Brown, C. Titus and Hong, Neil P. Chue and Davis, Matt and Guy, Richard T. and Haddock, Steven H. D. and Huff, Katy and Mitchell, Ian M. and Plumbley, Mark and Waugh, Ben and White, Ethan P. and Wilson, Paul},
  interhash = {78f98610c430aa34dc2e161bb8069401},
  intrahash = {e28ce8ccadfa439cce3bcdcb5289b499},
  journal = {CoRR},
  month = oct,
  title = {Best Practices for Scientific Computing},
  url = {http://arxiv.org/abs/1210.0530},
  volume = {abs/1210.0530},
  year = 2012
}

@article{framework2006lee,
  abstract = {This text sets out a series of approaches to the analysis and synthesis of the World Wide Web, and other web-like information structures. A comprehensive set of research questions is outlined, together with a sub-disciplinary breakdown, emphasising the multi-faceted nature of the Web, and the multi-disciplinary nature of its study and development. These questions and approaches together set out an agenda for Web Science, the science of decentralised information systems. Web Science is required both as a way to understand the Web, and as a way to focus its development on key communicational and representational requirements. The text surveys central engineering issues, such as the development of the Semantic Web, Web services and P2P. Analytic approaches to discover the Web’s topology, or its graph-like structures, are examined. Finally, the Web as a technology is essentially socially embedded; therefore various issues and requirements for Web use and governance are also reviewed.},
  author = {Berners-Lee, Tim and Hall, Wendy and Hendler, James A. and O'Hara, Kieron and Shadbolt, Nigel and Weitzner, Daniel J.},
  editor = {Hall, Wendy and Shadbolt, Nigel},
  interhash = {baac7e2804fe5c7346e51e77cdf7d484},
  intrahash = {a8c58bcd316506ef9b83317ce08ef8ee},
  journal = {Foundations and Trends® in  Web Science},
  number = 1,
  title = {A Framework for Web Science},
  url = {http://www.nowpublishers.com/getpdf.aspx?doi=1800000001&product=WEB},
  volume = 1,
  year = 2006
}