Zachary P. Neal

35 papers B 1Journal 32Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GPU-Accelerated Genetic Programming for Symbolic Regression with Beagle Framework. CoRR Nathan Haut, Ilya Basin, Marzieh Kianinejad, Ruchika Gupta, Elijah Smith, Zachary P. Neal, Wolfgang Banzhaf
2026	J	`jnl`	Network interventions to improve search and facilitate research-practice transfer. Soc. Networks Jennifer Watling Neal, Zachary P. Neal
2025	J	`jnl`	A stopping rule for randomly sampling bipartite networks with fixed degree sequences. Soc. Networks Zachary P. Neal
2024	J	`jnl`	Recommendations for sharing network data and materials. Netw. Sci. Zachary P. Neal, Zack W. Almquist, James P. Bagrow, Aaron Clauset, Jana Diesner, Emmanuel Lazega, Juniper L. Lovato, James Moody, Tiago P. Peixoto, Zachary C. Steinert-Threlkeld, Andreia Sofia Teixeira
2024	—	`conf`	The Senators Problem: A Design Space of Node Placement Methods for Geospatial Network Visualization (Short Paper). COSIT Arnav Mardia, Sichen Jin, Kathleen M. Carley, Yu-Ru Lin, Zachary P. Neal, Patrick S. Park, Clio Andris
2024	J	`jnl`	The not-so-forbidden triad: Evaluating the assumptions of the Strength of Weak Ties. Netw. Sci. Zachary P. Neal
2024	J	`jnl`	When can networks be inferred from observed groups? Netw. Sci. Zachary P. Neal
2023	B	`conf`	Analysis of Evil Twin, Deauthentication, and Disassociation Attacks on Wi-Fi Cameras. ICCCN Zachary P. Neal, Kewei Sha
2023	J	`jnl`	Coevolutionary opinion dynamics with sparse interactions in open-ended societies. Complex Intell. Syst. Honglin Bao, Zachary P. Neal, Wolfgang Banzhaf
2023	J	`jnl`	Inferring social networks from observed groups. CoRR Zachary P. Neal
2023	J	`jnl`	Mixing time for uniform sampling of binary matrices with fixed row and column sums using the trade algorithm. CoRR Zachary P. Neal
2023	—	`conf`	Stochastic Degree Sequence Model with Edge Constraints (SDSM-EC) for Backbone Extraction. COMPLEX NETWORKS (1) Zachary P. Neal, Jennifer Watling Neal
2023	J	`jnl`	Stochastic Degree Sequence Model with Edge Constraints (SDSM-EC) for Backbone Extraction. CoRR Zachary P. Neal, Jennifer Watling Neal
2023	J	`jnl`	The duality of networks and groups: Models to generate two-mode networks from one-mode networks. Netw. Sci. Zachary P. Neal
2022	J	`jnl`	Homophily in collaborations among US House Representatives, 1981-2018. Soc. Networks Zachary P. Neal, Rachel Domagalski, Xiaoqin Yan
2022	J	`jnl`	Inferring signed networks from preschoolers' observed parallel and social play. Soc. Networks Jennifer Watling Neal, Zachary P. Neal, C. Emily Durbin
2022	J	`jnl`	That'll move the chains: Collecting network chain data. Soc. Networks Zachary P. Neal, Jennifer Watling Neal
2022	J	`jnl`	The Duality of Networks and Foci: Generative Models of Two-Mode Networks from One-Mode Networks. CoRR Zachary P. Neal
2022	J	`jnl`	backbone: An R package to extract network backbones. CoRR Zachary P. Neal
2022	J	`jnl`	fastball: a fast algorithm to randomly sample bipartite graphs with fixed degree sequences. J. Complex Networks Karl Godard, Zachary P. Neal
2021	J	`jnl`	Comparing Models for Extracting the Backbone of Bipartite Projections. CoRR Zachary P. Neal, Rachel Domagalski, Bruce Sahan
2021	J	`jnl`	Optimally partitioning signed networks based on generalized balance. CoRR Samin Aref, Zachary P. Neal
2021	J	`jnl`	fastball: A fast algorithm to sample binary matrices with fixed marginals. CoRR Karl Godard, Zachary P. Neal
2020	J	`jnl`	A sign of the times? Weak and strong polarization in the U.S. Congress, 1973-2016. Soc. Networks Zachary P. Neal
2019	J	`jnl`	False positives using social cognitive mapping to identify childrens' peer groups. CoRR Zachary P. Neal, Jennifer Watling Neal, Rachel Domagalski
2019	J	`jnl`	Legislative effectiveness hangs in the balance: Studying balance and polarization through partitioning signed networks. CoRR Samin Aref, Zachary P. Neal
2019	J	`jnl`	What types of brokerage bridge the research-practice gap? The case of public school educators. Soc. Networks Jennifer Watling Neal, Zachary P. Neal, Kristen J. Mills, Jennifer Lawlor, Kathryn McAlindon
2019	J	`jnl`	backbone: An R Package for Backbone Extraction of Weighted Graphs. CoRR Rachel Domagalski, Zachary P. Neal, Bruce E. Sagan
2017	J	`jnl`	How small is it? Comparing indices of small worldliness. Netw. Sci. Zachary P. Neal
2016	J	`jnl`	Seeing and being seen: Predictors of accurate perceptions about classmates' relationships. Soc. Networks Jennifer Watling Neal, Zachary P. Neal, Elise Cappella
2015	J	`jnl`	Navigating the massive world of reddit: using backbone networks to map user interests in social media. PeerJ Comput. Sci. Randal S. Olson, Zachary P. Neal
2014	J	`jnl`	The backbone of bipartite projections: Inferring relationships from co-authorship, co-sponsorship, co-attendance and other co-behaviors. Soc. Networks Zachary P. Neal
2014	J	`jnl`	The devil is in the details: Differences in air traffic networks by scale, species, and season. Soc. Networks Zachary P. Neal
2013	J	`jnl`	Identifying statistically significant edges in one-mode projections. Soc. Netw. Anal. Min. Zachary P. Neal
2013	J	`jnl`	Navigating the massive world of reddit: Using backbone networks to map user interests in social media. CoRR Randal S. Olson, Zachary P. Neal

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.