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You searched for +publisher:"University of Michigan" +contributor:("Radev, Dragomir Radkov"). Showing records 1 – 15 of 15 total matches.

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University of Michigan

1. Rong, Xin. Neural Language Models for Data-Driven Programming Support.

Degree: PhD, Information, 2017, University of Michigan

 Programming can be hard to learn and master. Search engines and social Q&A websites offer tremendous help to programmers, but great expertise (e.g., “Google-fu”) is… (more)

Subjects/Keywords: neural language models; Information and Library Science; Social Sciences

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APA (6th Edition):

Rong, X. (2017). Neural Language Models for Data-Driven Programming Support. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138509

Chicago Manual of Style (16th Edition):

Rong, Xin. “Neural Language Models for Data-Driven Programming Support.” 2017. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/138509.

MLA Handbook (7th Edition):

Rong, Xin. “Neural Language Models for Data-Driven Programming Support.” 2017. Web. 13 Aug 2020.

Vancouver:

Rong X. Neural Language Models for Data-Driven Programming Support. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/138509.

Council of Science Editors:

Rong X. Neural Language Models for Data-Driven Programming Support. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138509


University of Michigan

2. Jha, Rahul Kumar. NLP Driven Models for Automatically Generating Survey Articles for Scientific Topics.

Degree: PhD, Computer Science and Engineering, 2015, University of Michigan

 This thesis presents new methods that use natural language processing (NLP) driven models for summarizing research in scientific fields. Given a topic query in the… (more)

Subjects/Keywords: natural language processing; automatic summarization; scholarly data; Computer Science; Engineering

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APA (6th Edition):

Jha, R. K. (2015). NLP Driven Models for Automatically Generating Survey Articles for Scientific Topics. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113407

Chicago Manual of Style (16th Edition):

Jha, Rahul Kumar. “NLP Driven Models for Automatically Generating Survey Articles for Scientific Topics.” 2015. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/113407.

MLA Handbook (7th Edition):

Jha, Rahul Kumar. “NLP Driven Models for Automatically Generating Survey Articles for Scientific Topics.” 2015. Web. 13 Aug 2020.

Vancouver:

Jha RK. NLP Driven Models for Automatically Generating Survey Articles for Scientific Topics. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/113407.

Council of Science Editors:

Jha RK. NLP Driven Models for Automatically Generating Survey Articles for Scientific Topics. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113407


University of Michigan

3. Mehta, Chandresh Rajnikant. Knowledge-based Methods for Evaluation of Engineering Changes.

Degree: PhD, Mechanical Engineering, 2010, University of Michigan

 Engineering Changes (ECs) are an integral part of a product's lifecycle. A proposed EC can affect several lifecycle-wide components. Detailed evaluation of each proposed EC… (more)

Subjects/Keywords: Engineering Change; Manufacturing; Knowledge-based Impact Evaluation of Engineering Change; Data Mining; Engineering Change Management; Expert System for Engineering Change Evaluation; Computer Science; Mechanical Engineering; Engineering

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APA (6th Edition):

Mehta, C. R. (2010). Knowledge-based Methods for Evaluation of Engineering Changes. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/78926

Chicago Manual of Style (16th Edition):

Mehta, Chandresh Rajnikant. “Knowledge-based Methods for Evaluation of Engineering Changes.” 2010. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/78926.

MLA Handbook (7th Edition):

Mehta, Chandresh Rajnikant. “Knowledge-based Methods for Evaluation of Engineering Changes.” 2010. Web. 13 Aug 2020.

Vancouver:

Mehta CR. Knowledge-based Methods for Evaluation of Engineering Changes. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/78926.

Council of Science Editors:

Mehta CR. Knowledge-based Methods for Evaluation of Engineering Changes. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/78926


University of Michigan

4. Awadallah, Ahmed Mohammed Hassan. Identifying Roles in Social Networks using Linguistic Analysis.

Degree: PhD, Computer Science & Engineering, 2011, University of Michigan

 Social media sites have been significantly growing in the past few years. This resulted in the emergence of several communities of communicating groups, and a… (more)

Subjects/Keywords: Text Mining; Social Network Analysis; Mining Attitude in Discussions; Mining Influence in Discussions; Computer Science; Engineering

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APA (6th Edition):

Awadallah, A. M. H. (2011). Identifying Roles in Social Networks using Linguistic Analysis. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86271

Chicago Manual of Style (16th Edition):

Awadallah, Ahmed Mohammed Hassan. “Identifying Roles in Social Networks using Linguistic Analysis.” 2011. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/86271.

MLA Handbook (7th Edition):

Awadallah, Ahmed Mohammed Hassan. “Identifying Roles in Social Networks using Linguistic Analysis.” 2011. Web. 13 Aug 2020.

Vancouver:

Awadallah AMH. Identifying Roles in Social Networks using Linguistic Analysis. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/86271.

Council of Science Editors:

Awadallah AMH. Identifying Roles in Social Networks using Linguistic Analysis. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86271


University of Michigan

5. Muthukrishnan, Pradeep. Unsupervised Graph-Based Similarity Learning Using Heterogeneous Features.

Degree: PhD, Computer Science & Engineering, 2011, University of Michigan

 Relational data refers to data that contains explicit relations among objects. Nowadays, relational data are universal and have a broad appeal in many different application… (more)

Subjects/Keywords: Unsupervised Algorithms; Graph-based Learning; Similarity Learning; Machine Learning; Multiple Heterogeneous Features; Computer Science; Engineering

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APA (6th Edition):

Muthukrishnan, P. (2011). Unsupervised Graph-Based Similarity Learning Using Heterogeneous Features. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/89824

Chicago Manual of Style (16th Edition):

Muthukrishnan, Pradeep. “Unsupervised Graph-Based Similarity Learning Using Heterogeneous Features.” 2011. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/89824.

MLA Handbook (7th Edition):

Muthukrishnan, Pradeep. “Unsupervised Graph-Based Similarity Learning Using Heterogeneous Features.” 2011. Web. 13 Aug 2020.

Vancouver:

Muthukrishnan P. Unsupervised Graph-Based Similarity Learning Using Heterogeneous Features. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/89824.

Council of Science Editors:

Muthukrishnan P. Unsupervised Graph-Based Similarity Learning Using Heterogeneous Features. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/89824


University of Michigan

6. Finegan-Dollak, Catherine. Selecting and Generating Computational Meaning Representations for Short Texts.

Degree: PhD, Computer Science & Engineering, 2018, University of Michigan

 Language conveys meaning, so natural language processing (NLP) requires representations of meaning. This work addresses two broad questions: (1) What meaning representation should we use?… (more)

Subjects/Keywords: meaning representations; semantics; natural language processing; text-to-SQL; Computer Science; Engineering

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APA (6th Edition):

Finegan-Dollak, C. (2018). Selecting and Generating Computational Meaning Representations for Short Texts. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/143967

Chicago Manual of Style (16th Edition):

Finegan-Dollak, Catherine. “Selecting and Generating Computational Meaning Representations for Short Texts.” 2018. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/143967.

MLA Handbook (7th Edition):

Finegan-Dollak, Catherine. “Selecting and Generating Computational Meaning Representations for Short Texts.” 2018. Web. 13 Aug 2020.

Vancouver:

Finegan-Dollak C. Selecting and Generating Computational Meaning Representations for Short Texts. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/143967.

Council of Science Editors:

Finegan-Dollak C. Selecting and Generating Computational Meaning Representations for Short Texts. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/143967

7. Li, Fei. Querying RDBMS using Natural Language.

Degree: PhD, Computer Science & Engineering, 2017, University of Michigan

 It is often challenging to specify queries against a relational database since SQL requires its users to know the exact schema of the database, the… (more)

Subjects/Keywords: NLIDB; Natural Language Processing; Database Usability; Semantic Parsing; Computer Science; Engineering

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APA (6th Edition):

Li, F. (2017). Querying RDBMS using Natural Language. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138709

Chicago Manual of Style (16th Edition):

Li, Fei. “Querying RDBMS using Natural Language.” 2017. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/138709.

MLA Handbook (7th Edition):

Li, Fei. “Querying RDBMS using Natural Language.” 2017. Web. 13 Aug 2020.

Vancouver:

Li F. Querying RDBMS using Natural Language. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/138709.

Council of Science Editors:

Li F. Querying RDBMS using Natural Language. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138709

8. Fossum, Victoria L. Integrating Parsing and Word Alignment in Syntax-Based Machine Translation.

Degree: PhD, Computer Science & Engineering, 2010, University of Michigan

 Training a state-of-the-art syntax-based statistical machine translation (MT) system to translate from a source language into a target language requires a large parallel corpus of… (more)

Subjects/Keywords: Syntax-based Statistical Machine Translation; Syntax-based Machine Translation; MT; Word Alignment; Parsing; Computer Science; Engineering

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APA (6th Edition):

Fossum, V. L. (2010). Integrating Parsing and Word Alignment in Syntax-Based Machine Translation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/77685

Chicago Manual of Style (16th Edition):

Fossum, Victoria L. “Integrating Parsing and Word Alignment in Syntax-Based Machine Translation.” 2010. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/77685.

MLA Handbook (7th Edition):

Fossum, Victoria L. “Integrating Parsing and Word Alignment in Syntax-Based Machine Translation.” 2010. Web. 13 Aug 2020.

Vancouver:

Fossum VL. Integrating Parsing and Word Alignment in Syntax-Based Machine Translation. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/77685.

Council of Science Editors:

Fossum VL. Integrating Parsing and Word Alignment in Syntax-Based Machine Translation. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/77685

9. Szymanski, Terrence D. Morphological Inference from Bitext for Resource-Poor Languages.

Degree: PhD, Linguistics, 2012, University of Michigan

 The development of rich, multi-lingual corpora is essential for enabling new types of large-scale inquiry into the nature of language (Abney and Bird, 2010; Lewis… (more)

Subjects/Keywords: Computational Linguistics; Morphological Inference; Resource-poor Languages; Social Sciences (General); Social Sciences

…searches can be used to identify relevant books in the University of Michigan Library’s Digital… 

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APA (6th Edition):

Szymanski, T. D. (2012). Morphological Inference from Bitext for Resource-Poor Languages. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/93843

Chicago Manual of Style (16th Edition):

Szymanski, Terrence D. “Morphological Inference from Bitext for Resource-Poor Languages.” 2012. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/93843.

MLA Handbook (7th Edition):

Szymanski, Terrence D. “Morphological Inference from Bitext for Resource-Poor Languages.” 2012. Web. 13 Aug 2020.

Vancouver:

Szymanski TD. Morphological Inference from Bitext for Resource-Poor Languages. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/93843.

Council of Science Editors:

Szymanski TD. Morphological Inference from Bitext for Resource-Poor Languages. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/93843

10. Qazvinian, Vahed. Using Collective Discourse to Generate Surveys of Scientific Paradigms.

Degree: PhD, Computer Science & Engineering, 2012, University of Michigan

 This thesis is focused on understanding collective discourse and employing its properties to build better decision support systems. We first define collective discourse as a… (more)

Subjects/Keywords: Automatic Text Summarization; Collective Intelligence; Natural Language Processing; Computer Science; Engineering

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APA (6th Edition):

Qazvinian, V. (2012). Using Collective Discourse to Generate Surveys of Scientific Paradigms. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/95960

Chicago Manual of Style (16th Edition):

Qazvinian, Vahed. “Using Collective Discourse to Generate Surveys of Scientific Paradigms.” 2012. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/95960.

MLA Handbook (7th Edition):

Qazvinian, Vahed. “Using Collective Discourse to Generate Surveys of Scientific Paradigms.” 2012. Web. 13 Aug 2020.

Vancouver:

Qazvinian V. Using Collective Discourse to Generate Surveys of Scientific Paradigms. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/95960.

Council of Science Editors:

Qazvinian V. Using Collective Discourse to Generate Surveys of Scientific Paradigms. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/95960


University of Michigan

11. Nandi, Arnab. Answering Imprecise Structured Search Queries.

Degree: PhD, Computer Science & Engineering, 2011, University of Michigan

 Humans are increasingly becoming the primary consumer of structured data. As the volume and heterogeneity of data produced in the world increases, the existing paradigm… (more)

Subjects/Keywords: Database; Search; Computer Science; Engineering

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APA (6th Edition):

Nandi, A. (2011). Answering Imprecise Structured Search Queries. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86495

Chicago Manual of Style (16th Edition):

Nandi, Arnab. “Answering Imprecise Structured Search Queries.” 2011. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/86495.

MLA Handbook (7th Edition):

Nandi, Arnab. “Answering Imprecise Structured Search Queries.” 2011. Web. 13 Aug 2020.

Vancouver:

Nandi A. Answering Imprecise Structured Search Queries. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/86495.

Council of Science Editors:

Nandi A. Answering Imprecise Structured Search Queries. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86495

12. Abu Jbara, Amjad. Using Natural Language Processing to Mine Multiple Perspectives from Social Media and Scientific Literature.

Degree: PhD, Computer Science & Engineering, 2013, University of Michigan

 This thesis studies how Natural Language Processing techniques can be used to mine perspectives from textual data. The first part of the thesis focuses on… (more)

Subjects/Keywords: Natural Language Processing; Computational Linguistics; Sentiment Analysis; Opinion Mining; Citation Analysis; Computer Science; Engineering

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APA (6th Edition):

Abu Jbara, A. (2013). Using Natural Language Processing to Mine Multiple Perspectives from Social Media and Scientific Literature. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/99934

Chicago Manual of Style (16th Edition):

Abu Jbara, Amjad. “Using Natural Language Processing to Mine Multiple Perspectives from Social Media and Scientific Literature.” 2013. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/99934.

MLA Handbook (7th Edition):

Abu Jbara, Amjad. “Using Natural Language Processing to Mine Multiple Perspectives from Social Media and Scientific Literature.” 2013. Web. 13 Aug 2020.

Vancouver:

Abu Jbara A. Using Natural Language Processing to Mine Multiple Perspectives from Social Media and Scientific Literature. [Internet] [Doctoral dissertation]. University of Michigan; 2013. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/99934.

Council of Science Editors:

Abu Jbara A. Using Natural Language Processing to Mine Multiple Perspectives from Social Media and Scientific Literature. [Doctoral Dissertation]. University of Michigan; 2013. Available from: http://hdl.handle.net/2027.42/99934

13. Ozgur, Arzucan. Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine.

Degree: PhD, Computer Science & Engineering, 2010, University of Michigan

 Most of the new and important findings in biomedicine are only available in the text of the published scientific articles. The first goal of this… (more)

Subjects/Keywords: Information Extraction; Natural Language Processing; Text Mining; Bioinformatics; Literature-based Discovery; Network Analysis; Computer Science; Engineering; Science

…of Doctor of Philosophy (Computer Science and Engineering) in The University of… …Michigan 2010 Doctoral Committee: Professor Dragomir R. Radev, Chair Professor Brian D. Athey… 

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APA (6th Edition):

Ozgur, A. (2010). Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/78956

Chicago Manual of Style (16th Edition):

Ozgur, Arzucan. “Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine.” 2010. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/78956.

MLA Handbook (7th Edition):

Ozgur, Arzucan. “Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine.” 2010. Web. 13 Aug 2020.

Vancouver:

Ozgur A. Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/78956.

Council of Science Editors:

Ozgur A. Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/78956


University of Michigan

14. Yang, Li. Re-evaluating and Exploring the Contributions of Constituency Grammar to Semantic Role Labeling.

Degree: PhD, Linguistics, 2009, University of Michigan

 Since the seminal work of Gildea and Jurafsky (2000), semantic role labeling (SRL) researchers have been trying to determine the appropriate syntactic/semantic knowledge and statistical… (more)

Subjects/Keywords: Automatic Semantic Role Labeling, Semantic Arguments, Argument Structure, Regularized Logistic Regression; Computer Science; Linguistics; Engineering; Humanities

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APA (6th Edition):

Yang, L. (2009). Re-evaluating and Exploring the Contributions of Constituency Grammar to Semantic Role Labeling. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/64814

Chicago Manual of Style (16th Edition):

Yang, Li. “Re-evaluating and Exploring the Contributions of Constituency Grammar to Semantic Role Labeling.” 2009. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/64814.

MLA Handbook (7th Edition):

Yang, Li. “Re-evaluating and Exploring the Contributions of Constituency Grammar to Semantic Role Labeling.” 2009. Web. 13 Aug 2020.

Vancouver:

Yang L. Re-evaluating and Exploring the Contributions of Constituency Grammar to Semantic Role Labeling. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/64814.

Council of Science Editors:

Yang L. Re-evaluating and Exploring the Contributions of Constituency Grammar to Semantic Role Labeling. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/64814


University of Michigan

15. Shi, Xiaolin. The Structure and Dynamics of Information Sharing Networks.

Degree: PhD, Computer Science & Engineering, 2009, University of Michigan

 Information flows are produced, carried, and directed by information sharing networks. The evolution of the structure of such networks and the way information diffuses are… (more)

Subjects/Keywords: Information Sharing Networks; Information Diffusion; Network Structures; Computer Science; Engineering

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APA (6th Edition):

Shi, X. (2009). The Structure and Dynamics of Information Sharing Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/63681

Chicago Manual of Style (16th Edition):

Shi, Xiaolin. “The Structure and Dynamics of Information Sharing Networks.” 2009. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/63681.

MLA Handbook (7th Edition):

Shi, Xiaolin. “The Structure and Dynamics of Information Sharing Networks.” 2009. Web. 13 Aug 2020.

Vancouver:

Shi X. The Structure and Dynamics of Information Sharing Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/63681.

Council of Science Editors:

Shi X. The Structure and Dynamics of Information Sharing Networks. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/63681

.