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You searched for subject:(graph structure analysis). Showing records 1 – 11 of 11 total matches.

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Carnegie Mellon University

1. Kang, U. Mining Tera-Scale Graphs: Theory, Engineering and Discoveries.

Degree: 2012, Carnegie Mellon University

 How do we find patterns and anomalies, on graphs with billions of nodes and edges, which do not fit in memory? How to use parallelism… (more)

Subjects/Keywords: graph mining; MAPREDUCE; HADOOP; graph structure analysis; radius plot; diameter; connected component; inference; spectral graph analysis; eigensolver; tensor analysis; graph management; graph indexing; graph compression; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kang, U. (2012). Mining Tera-Scale Graphs: Theory, Engineering and Discoveries. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/160

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kang, U. “Mining Tera-Scale Graphs: Theory, Engineering and Discoveries.” 2012. Thesis, Carnegie Mellon University. Accessed December 14, 2019. http://repository.cmu.edu/dissertations/160.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kang, U. “Mining Tera-Scale Graphs: Theory, Engineering and Discoveries.” 2012. Web. 14 Dec 2019.

Vancouver:

Kang U. Mining Tera-Scale Graphs: Theory, Engineering and Discoveries. [Internet] [Thesis]. Carnegie Mellon University; 2012. [cited 2019 Dec 14]. Available from: http://repository.cmu.edu/dissertations/160.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kang U. Mining Tera-Scale Graphs: Theory, Engineering and Discoveries. [Thesis]. Carnegie Mellon University; 2012. Available from: http://repository.cmu.edu/dissertations/160

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of New Orleans

2. Maus, Aaron. Formulation of Hybrid Knowledge-Based/Molecular Mechanics Potentials for Protein Structure Refinement and a Novel Graph Theoretical Protein Structure Comparison and Analysis Technique.

Degree: PhD, Computer Science, 2019, University of New Orleans

  Proteins are the fundamental machinery that enables the functions of life. It is critical to understand them not just for basic biology, but also… (more)

Subjects/Keywords: Bioinformatics; Protein Structure Prediction; Protein Structure Refinement; Statistical Energy Functions; Protein Structure Comparison; Graph Analysis; Bioinformatics

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APA (6th Edition):

Maus, A. (2019). Formulation of Hybrid Knowledge-Based/Molecular Mechanics Potentials for Protein Structure Refinement and a Novel Graph Theoretical Protein Structure Comparison and Analysis Technique. (Doctoral Dissertation). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/2673

Chicago Manual of Style (16th Edition):

Maus, Aaron. “Formulation of Hybrid Knowledge-Based/Molecular Mechanics Potentials for Protein Structure Refinement and a Novel Graph Theoretical Protein Structure Comparison and Analysis Technique.” 2019. Doctoral Dissertation, University of New Orleans. Accessed December 14, 2019. https://scholarworks.uno.edu/td/2673.

MLA Handbook (7th Edition):

Maus, Aaron. “Formulation of Hybrid Knowledge-Based/Molecular Mechanics Potentials for Protein Structure Refinement and a Novel Graph Theoretical Protein Structure Comparison and Analysis Technique.” 2019. Web. 14 Dec 2019.

Vancouver:

Maus A. Formulation of Hybrid Knowledge-Based/Molecular Mechanics Potentials for Protein Structure Refinement and a Novel Graph Theoretical Protein Structure Comparison and Analysis Technique. [Internet] [Doctoral dissertation]. University of New Orleans; 2019. [cited 2019 Dec 14]. Available from: https://scholarworks.uno.edu/td/2673.

Council of Science Editors:

Maus A. Formulation of Hybrid Knowledge-Based/Molecular Mechanics Potentials for Protein Structure Refinement and a Novel Graph Theoretical Protein Structure Comparison and Analysis Technique. [Doctoral Dissertation]. University of New Orleans; 2019. Available from: https://scholarworks.uno.edu/td/2673


Linnaeus University

3. Maryokhin, Tymur. Data dissemination in large-cardinality social graphs.

Degree: Computer Science, 2015, Linnaeus University

  Near real-time event streams are a key feature in many popular social media applications. These types of applications allow users to selectively follow event… (more)

Subjects/Keywords: Data dissemination; message delivery; social graph; big data; large scale; feed following; materialized views; social network analysis; community structure detection; graph theory; database theory.

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APA (6th Edition):

Maryokhin, T. (2015). Data dissemination in large-cardinality social graphs. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-48268

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Maryokhin, Tymur. “Data dissemination in large-cardinality social graphs.” 2015. Thesis, Linnaeus University. Accessed December 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-48268.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Maryokhin, Tymur. “Data dissemination in large-cardinality social graphs.” 2015. Web. 14 Dec 2019.

Vancouver:

Maryokhin T. Data dissemination in large-cardinality social graphs. [Internet] [Thesis]. Linnaeus University; 2015. [cited 2019 Dec 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-48268.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Maryokhin T. Data dissemination in large-cardinality social graphs. [Thesis]. Linnaeus University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-48268

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

4. Jackson, Larry S. Website Structure.

Degree: PhD, Library and Information Science, 2009, University of Illinois – Urbana-Champaign

 This dissertation reports the results of an exploratory data analysis investigation of the relationship between the structures used for information organization and access and the… (more)

Subjects/Keywords: website structure; hypertext graph; linear discriminant analysis; linear classifier; website archiving; state government websites; Illinois State Library

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APA (6th Edition):

Jackson, L. S. (2009). Website Structure. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/11969

Chicago Manual of Style (16th Edition):

Jackson, Larry S. “Website Structure.” 2009. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 14, 2019. http://hdl.handle.net/2142/11969.

MLA Handbook (7th Edition):

Jackson, Larry S. “Website Structure.” 2009. Web. 14 Dec 2019.

Vancouver:

Jackson LS. Website Structure. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2009. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/2142/11969.

Council of Science Editors:

Jackson LS. Website Structure. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2009. Available from: http://hdl.handle.net/2142/11969


Virginia Tech

5. Nath, Madhurima. Application of Network Reliability to Analyze Diffusive Processes on Graph Dynamical Systems.

Degree: PhD, Physics, 2019, Virginia Tech

 The research presented here explores the effects of the structural properties of an interacting system on the outcomes of a diffusive process using Moore-Shannon network… (more)

Subjects/Keywords: Dynamics on Networks; Diffusion; Network Analysis; Network Reliability; Graph Dynamical Systems; Structural Network Measures; Network Models; Community Structure

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nath, M. (2019). Application of Network Reliability to Analyze Diffusive Processes on Graph Dynamical Systems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/86841

Chicago Manual of Style (16th Edition):

Nath, Madhurima. “Application of Network Reliability to Analyze Diffusive Processes on Graph Dynamical Systems.” 2019. Doctoral Dissertation, Virginia Tech. Accessed December 14, 2019. http://hdl.handle.net/10919/86841.

MLA Handbook (7th Edition):

Nath, Madhurima. “Application of Network Reliability to Analyze Diffusive Processes on Graph Dynamical Systems.” 2019. Web. 14 Dec 2019.

Vancouver:

Nath M. Application of Network Reliability to Analyze Diffusive Processes on Graph Dynamical Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10919/86841.

Council of Science Editors:

Nath M. Application of Network Reliability to Analyze Diffusive Processes on Graph Dynamical Systems. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/86841


University of Technology, Sydney

6. Guo, T. Real-time analytics for complex structure data.

Degree: 2015, University of Technology, Sydney

 The advancement of data acquisition and analysis technology has resulted in many real-world data being dynamic and containing rich content and structured information. More specifically,… (more)

Subjects/Keywords: Data acquisition and analysis.; Complex structure data.; Real-time availability of data.; Data streams.; Node correlation.; Node content.; Super-node and super-graph structure.; Optimization-oriented factorization approach.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Guo, T. (2015). Real-time analytics for complex structure data. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/38990

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Guo, T. “Real-time analytics for complex structure data.” 2015. Thesis, University of Technology, Sydney. Accessed December 14, 2019. http://hdl.handle.net/10453/38990.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Guo, T. “Real-time analytics for complex structure data.” 2015. Web. 14 Dec 2019.

Vancouver:

Guo T. Real-time analytics for complex structure data. [Internet] [Thesis]. University of Technology, Sydney; 2015. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10453/38990.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Guo T. Real-time analytics for complex structure data. [Thesis]. University of Technology, Sydney; 2015. Available from: http://hdl.handle.net/10453/38990

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Victoria

7. Yu, Louis Lei. Characteristics of social networks in the Chinese Web.

Degree: Dept. of Computer Science, 2010, University of Victoria

 We look at the underlying friendships and relationships between Chinese Internet users. We identify the presence and characteristics of the different types of online friendships… (more)

Subjects/Keywords: Web graph measurement; Social networks analysis; Stochastic graph modeling; Web structure analysis; Guanxi; Homophily; UVic Subject Index::Sciences and Engineering::Applied Sciences::Computer science; UVic Subject Index::Humanities and Social Sciences::Sociology::Social structure

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APA (6th Edition):

Yu, L. L. (2010). Characteristics of social networks in the Chinese Web. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/3074

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yu, Louis Lei. “Characteristics of social networks in the Chinese Web.” 2010. Thesis, University of Victoria. Accessed December 14, 2019. http://hdl.handle.net/1828/3074.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yu, Louis Lei. “Characteristics of social networks in the Chinese Web.” 2010. Web. 14 Dec 2019.

Vancouver:

Yu LL. Characteristics of social networks in the Chinese Web. [Internet] [Thesis]. University of Victoria; 2010. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/1828/3074.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu LL. Characteristics of social networks in the Chinese Web. [Thesis]. University of Victoria; 2010. Available from: http://hdl.handle.net/1828/3074

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Wong, Serene Wing Hang. Exploiting Structure Information for Network Dissimilarity Characterization - Application to Disease Network Analysis and Treatment Prediction.

Degree: PhD, Computer Science, 2015, York University

 Most cancers lack effective early disease markers, prognostic and predictive signatures, primarily due to tumor heterogeneity. As a result, we fail treating cancer heterogeneity due… (more)

Subjects/Keywords: Computer science; Network structure; Computational biology; Systems approach; Graph theory; Comparative network analysis

…large networks for network structure analysis has continued to grow and is an active research… …Organization of the thesis The structure of the dissertation is as follow. Chapter 2 defines graph… …biological network analysis. 2.1 Graph theoretic terminology A graph is composed of vertices and… …expression graphs. Graph G represents condition A, and Graph H represents condition B… …absence of nodes in the graph. 4.5… 

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APA (6th Edition):

Wong, S. W. H. (2015). Exploiting Structure Information for Network Dissimilarity Characterization - Application to Disease Network Analysis and Treatment Prediction. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/29822

Chicago Manual of Style (16th Edition):

Wong, Serene Wing Hang. “Exploiting Structure Information for Network Dissimilarity Characterization - Application to Disease Network Analysis and Treatment Prediction.” 2015. Doctoral Dissertation, York University. Accessed December 14, 2019. http://hdl.handle.net/10315/29822.

MLA Handbook (7th Edition):

Wong, Serene Wing Hang. “Exploiting Structure Information for Network Dissimilarity Characterization - Application to Disease Network Analysis and Treatment Prediction.” 2015. Web. 14 Dec 2019.

Vancouver:

Wong SWH. Exploiting Structure Information for Network Dissimilarity Characterization - Application to Disease Network Analysis and Treatment Prediction. [Internet] [Doctoral dissertation]. York University; 2015. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10315/29822.

Council of Science Editors:

Wong SWH. Exploiting Structure Information for Network Dissimilarity Characterization - Application to Disease Network Analysis and Treatment Prediction. [Doctoral Dissertation]. York University; 2015. Available from: http://hdl.handle.net/10315/29822


Indian Institute of Science

9. Brinda, K V. Protein Structure Networks : Implications To Protein Stabiltiy And Protein-Protein Interactions.

Degree: 2005, Indian Institute of Science

Subjects/Keywords: Protein Networks; Protein-Protein Interactions; Protein Stability; Protein Structures; Protein Folding; Protein Functions; Protein Structure Analysis; Protein Structure Graphs; Protein Structure Networks; Homodimeric Protein Interfaces; Lectins; Graph Spectral Method; Structure Graphs; Biochemistry

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Brinda, K. V. (2005). Protein Structure Networks : Implications To Protein Stabiltiy And Protein-Protein Interactions. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/1504

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Brinda, K V. “Protein Structure Networks : Implications To Protein Stabiltiy And Protein-Protein Interactions.” 2005. Thesis, Indian Institute of Science. Accessed December 14, 2019. http://hdl.handle.net/2005/1504.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Brinda, K V. “Protein Structure Networks : Implications To Protein Stabiltiy And Protein-Protein Interactions.” 2005. Web. 14 Dec 2019.

Vancouver:

Brinda KV. Protein Structure Networks : Implications To Protein Stabiltiy And Protein-Protein Interactions. [Internet] [Thesis]. Indian Institute of Science; 2005. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/2005/1504.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Brinda KV. Protein Structure Networks : Implications To Protein Stabiltiy And Protein-Protein Interactions. [Thesis]. Indian Institute of Science; 2005. Available from: http://hdl.handle.net/2005/1504

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

10. Brinda, K V. Protein Structure Networks : Implications To Protein Stabiltiy And Protein-Protein Interactions.

Degree: 2005, Indian Institute of Science

Subjects/Keywords: Protein Networks; Protein-Protein Interactions; Protein Stability; Protein Structures; Protein Folding; Protein Functions; Protein Structure Analysis; Protein Structure Graphs; Protein Structure Networks; Homodimeric Protein Interfaces; Lectins; Graph Spectral Method; Structure Graphs; Biochemistry

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Brinda, K. V. (2005). Protein Structure Networks : Implications To Protein Stabiltiy And Protein-Protein Interactions. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/handle/2005/1504 ; http://etd.ncsi.iisc.ernet.in/abstracts/1925/G19591-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Brinda, K V. “Protein Structure Networks : Implications To Protein Stabiltiy And Protein-Protein Interactions.” 2005. Thesis, Indian Institute of Science. Accessed December 14, 2019. http://etd.iisc.ernet.in/handle/2005/1504 ; http://etd.ncsi.iisc.ernet.in/abstracts/1925/G19591-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Brinda, K V. “Protein Structure Networks : Implications To Protein Stabiltiy And Protein-Protein Interactions.” 2005. Web. 14 Dec 2019.

Vancouver:

Brinda KV. Protein Structure Networks : Implications To Protein Stabiltiy And Protein-Protein Interactions. [Internet] [Thesis]. Indian Institute of Science; 2005. [cited 2019 Dec 14]. Available from: http://etd.iisc.ernet.in/handle/2005/1504 ; http://etd.ncsi.iisc.ernet.in/abstracts/1925/G19591-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Brinda KV. Protein Structure Networks : Implications To Protein Stabiltiy And Protein-Protein Interactions. [Thesis]. Indian Institute of Science; 2005. Available from: http://etd.iisc.ernet.in/handle/2005/1504 ; http://etd.ncsi.iisc.ernet.in/abstracts/1925/G19591-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Bjuhr, Oscar. Reducing software complexity by hidden structure analysis : Methods to improve modularity and decrease ambiguity of a software system.

Degree: Information and Communication Technology (ICT), 2016, KTH

Software systems can be represented as directed graphs where components are nodes and dependencies between components are edges. Improvement in system complexity and reduction… (more)

Subjects/Keywords: DSM; VSM; Hidden Structure Analysis; Directed Graphs; Graph Theory; Data Science; DSM; VSM; Analys av Gömda Strukturer; Riktade Grafer; Grafteori; Datavetenskap; Electrical Engineering, Electronic Engineering, Information Engineering; Elektroteknik och elektronik

…prioritized. A hierarchical structure is beneficial when determining the priority of development for… …enables a more hierarchical structure. Modules should appear to be consistent to outside sources… …system. If this is not done, or the structure deteriorates, a refactoring of the complete… …direct links to intermediate components. Hidden Structure: Underlying architectural structure… …existing due to hidden dependencies. Design structure matrix (DSM): Matrix displaying… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bjuhr, O. (2016). Reducing software complexity by hidden structure analysis : Methods to improve modularity and decrease ambiguity of a software system. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204651

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bjuhr, Oscar. “Reducing software complexity by hidden structure analysis : Methods to improve modularity and decrease ambiguity of a software system.” 2016. Thesis, KTH. Accessed December 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204651.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bjuhr, Oscar. “Reducing software complexity by hidden structure analysis : Methods to improve modularity and decrease ambiguity of a software system.” 2016. Web. 14 Dec 2019.

Vancouver:

Bjuhr O. Reducing software complexity by hidden structure analysis : Methods to improve modularity and decrease ambiguity of a software system. [Internet] [Thesis]. KTH; 2016. [cited 2019 Dec 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204651.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bjuhr O. Reducing software complexity by hidden structure analysis : Methods to improve modularity and decrease ambiguity of a software system. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204651

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.