Works (3)

Updated: July 5th, 2023 15:40

2016 article

Node Dominance: Revealing Community and Core-Periphery Structure in Social Networks

Gamble, J., Chintakunta, H., Wilkerson, A., & Krim, H. (2016, February 10). IEEE Transactions on Signal and Information Processing over Networks, Vol. 2, pp. 186–199.

By: J. Gamble n, H. Chintakunta*, A. Wilkerson n & H. Krim n

author keywords: Core-periphery; community detection; simplicial collapse; topological data analysis; social network
topics (OpenAlex): Complex Network Analysis Techniques; Opinion Dynamics and Social Influence; Peer-to-Peer Network Technologies
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UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 article

Coordinate-free quantification of coverage in dynamic sensor networks

Gamble, J., Chintakunta, H., & Krim, H. (2015, February 20). Signal Processing, Vol. 114, pp. 1–18.

By: J. Gamble n, H. Chintakunta* & H. Krim n

author keywords: Dynamic sensor network; Coverage problem; Homology; Coordinate-free
topics (OpenAlex): Topological and Geometric Data Analysis; Homotopy and Cohomology in Algebraic Topology; Advanced Fluorescence Microscopy Techniques
TL;DR: A method from computational topology called zigzag persistent homology takes a sequence of simplicial complexes as input, and returns a 'barcode' containing the birth and death times of homological features in this sequence, and derives useful statistics from this output for analyzing time-varying coverage properties. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 article

Emergence of core-periphery structure from local node dominance in social networks

Gamble, J., Chintakunta, H., & Krim, H. (2015, August 1). 2015 23rd European Signal Processing Conference (Eusipco), pp. 1910–1914.

By: J. Gamble n, H. Chintakunta* & H. Krim n

topics (OpenAlex): Complex Network Analysis Techniques; Opinion Dynamics and Social Influence; Advanced Graph Neural Networks
TL;DR: It is shown that the resulting core describes the global structure of the network, while also preserving shortest paths, and displaying "expander-like" properties. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

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