PUBLISHED WORK
2024
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S. Rajtmajer. "The False Promises of Application-Driven Learning: Mathematical Thinking in Today’s Rapidly Evolving Technology Landscape." Innovative Practices in Teaching Information Sciences and Technology: Further Experience Reports and Reflections. Cham: Springer Nature Switzerland, 2024. 13-21.
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T. Du, J. Kim, A. Squicciarini, S. Rajtmajer. Toward context-aware privacy enhancing technologies for online self-disclosure. The 12th AAAI Conference on Human Computation and Crowdsourcing (HCOMP), October 2024.
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R. Obradage, S. Rajtmajer, J. Wu. Can citations tell us about a paper's reproducibility? A case study of machine learning papers. ACM Conference on Reproducibility and Replicability (ACM REP), June 2024. Short paper.
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S. Koneru, J. Wu, S. Rajtmajer. Can LLMs discern evidence for scientific hypotheses? Case studies in the social sciences. Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), May 2024.
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X. Wang, J. Li, S. Rajtmajer. Inside the echo chamber: Linguistic underpinnings of misinformation on Twitter. ACM Conference on Web Science (WebSci), May 2024.
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C. Wu, X. Wang, J. Carroll, S. Rajtmajer. Reacting to Generative AI: Insights from Student and Faculty Discussions on Reddit. ACM Conference on Web Science (WebSci), May 2024.
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C. Wu, T. Chakravorti, J. Carroll, S. Rajtmajer. Integrating measures of replicability into scholarly search: Challenges and opportunities. ACM Conference on Human Factors in Computing Systems (CHI), May 2024.
2023
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K. Lakkanige, L. Cooley-Russ, A. Wagner, S. Rajtmajer. Exploring trust and risk during online bartering interactions. Workshop on Multidisciplinary Perspectives on Human-AI Team Trust at the International Conference on Human-Agent Interaction (HAI), December 2023.
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S. Koneru, X. Wei, J. Wu, S. Rajtmajer. Can machine learning algorithms predict publication outcomes? A case study of COVID-19 preprints. AI4SciSci Workshop at the International Conference on Data Mining (ICDM), December 2023.
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J. Lee, S. Rajtmajer, E. Srivatsavaya, S. Wilson. Online Self-Disclosure, Social Support, and User Engagement During the COVID-19 Pandemic. ACM Transactions on Social Computing, September 2023.
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C. McClurg, A. Wagner, A. Ayub, S. Rajtmajer, H. Tyagi. Active Class Selection for Few-Shot Class-Incremental Learning. Second Conference on Lifelong Learning Agents (CoLLAs), August 2023.
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K. Ajayi, M. Hasan Choudhury, S. Rajtmajer, J. Wu. A Study on Reproducibility and Replicability of Table Structure Recognition Methods. International Conference on Document Analysis and Recognition (ICDAR), August 2023.
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S. B. Nagaraj, S. Rajtmajer, S. Abdullah. Differential Privacy enabled Dementia Classification: An Exploration of the Privacy-Accuracy Tradeoff in Speech Signal Data. The 24th INTERSPEECH Conference, August 2023.
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F. Jia, C. Qiu, S. Rajtmajer, A. Squicciarini. Content Sharing Design for Social Welfare in Networked Disclosure Game. The 39th Conference on Uncertainty in Artificial Intelligence (UAI), August 2023.
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S. Koneru, M. Smith, D. Guarrera, J. Robinson, S. Rajtmajer. The evolution of scientific literature as metastable knowledge states. PLoS ONE, July 2023.
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T. Chakravorti, R. Fraleigh, T. Fritton, M. McLaughlin, V. Singh, C. Griffin, A. Kwasnica, C. Pennock, C. Lee Giles and S. Rajtmajer. A prototype hybrid prediction market for estimating replicability of published work. The Second International Conference on Hybrid Human-Artificial Intelligence (HHAI), June 2023.
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M. Merhi, D. Lee, S. Rajtmajer. Information Operations in Turkey: Manufacturing Resilience with Free Twitter Accounts. AAAI Conference on Web and Social Media (ICWSM), June 2023.
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T. Chakravorti, V. Singh, M. McLaughlin, R. Fraleigh, C. Griffin, A. Kwasnica, D. Pennock, C. Lee Giles and S. Rajtmajer. Artificial prediction markets present a novel opportunity for human-AI collaboration. 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2023. Extended Abstract.
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X. Wang, J. Li, E. Srivatsavaya, S. Rajtmajer. Evidence of inter-state coordination amongst state-backed information operations. Scientific reports, 13(1), 7716, May 2023..
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X. Wang, M. Wu, S. Rajtmajer. From Yellow Peril to Model Minority: Asian stereotypes in social media during the COVID-19 pandemic. ACM Conference on Web Science (WebSci), April 2023. **Best paper runner-up
2022
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D. Priestley, J. Staph, S. Koneru, S. Rajtmajer, A. Cwiek, S. Vervoordt, F. Hillary. Establishing ground truth in the traumatic brain injury literature: if replication is the answer, then what are the questions? Brain Communications, December 2022.
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C. McClurg, A. Wagner, and S. Rajtmajer. Construal Level Theory for Agent-based Planning. CEUR Workshop Proceedings. Vol. 3332. CEUR-WS, 2022.
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S. Rajtmajer, T. Errington, F. Hillary. How failure to falsify in high-volume science contributes to the replication crisis. eLife, August 2022.
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E. Cruz Cortes, S. Rajtmajer, D. Ghosh. Structural Interventions on Automated Decision Making Systems. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), June 2022.
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T. Du, P. Umar, S. Rajtmajer, A. The contribution of verified accounts to self-disclosure in COVID-related Twitter conversations (short paper). International Conference on Web and Social Media (ICWSM), June 2022.
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L. Salasbil, J. Wu, M. Choudhury, W. Ingram, E. Fox, S. Rajtmajer and C. Lee Giles. A Study of Computational Reproducibility using URLs Linking to Open Access Datasets and Software. Sci-K @ The Web Conf, April 2022.
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A. Squicciarini, S. Rajtmajer, J. Semenson, P. Agarwal, Y. Gao, A. Belmonte. An extended ultimatum game for multi party access control in social networks. ACM Transactions on the Web, April 2022.
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S. Rajtmajer, C. Griffin, J. Wu, R. Fraleigh, L. Balaji, A. Squicciarini, A. Kwasnica, D. Pennock, M. McLaughlin, T. Fritton, N. Nakshatri, A. Menon, S.A. Modukuri, R. Nivargi, X. Wei, C.L. Giles. A synthetic prediction market for estimating confidence in published work. AAAI 2022 Demonstrations, February 2022.
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2021
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A. Cwiek, S. Rajtmajer, B. Wyble, V. Honavar, F. Hillary. Feeding the machine: challenges to reproducible predictive modeling in resting-state connectomics. Network Neuroscience, October 2021.
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N. Nakshatri, A. Menon, C. Lee Giles, S. Rajtmajer, C. Griffin. Design and analysis of a synethetic prediction market using dynamic convex sets. Results in Control and Optimization, September 2021.
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P. Umar, C. Akiti, A. Squicciarini, S. Rajtmajer. Self-disclosure on Twitter during the COVID-19 pandemic: A network perspective. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), September 2021.
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J. Lee, S. Rajtmajer, E. Srivatsavaya, S. Wilson. Digital inequality through the lens of self-disclosure. Proceedings on Privacy Enhancing Technologies (PoPETS), July 2021.
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T. Blose, P. Umar, A. Squicciarini, S. Rajtmajer. A study of self-disclosure during the Coronavirus pandemic. First Monday 26(7), July 2021.
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S. Lanka, S. Rajtmajer, J. Wu, C. Lee Giles. Extraction and evaluation of statistical information from social and behavioral science papers. Workshop on Scientific Knowledge (Sci-K) at The Web Conference, April 2021.
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S. Modukuri, S. Rajtmajer, A. Squicciarini, J. Wu, C. Lee Giles. Understanding and predicting retractions of published work. AAAI-21 Workshop on Scientific Document Understanding (AAAI SDU), February 2021.
2020
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P. Umar, A. Squicciarini, S. Rajtmajer. A Study of Self-Privacy Violations in Online Public Discourse. IEEE Big Data, December 2020.
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A. Squicciarini, S. Rajtmajer, P. Umar, T. Blose. A Tipping Point? Heightened self-disclosure during the Coronavirus Pandemic. IEEE International Conference on Cognitive Machine Intelligence (IEEE CogMI), December 2020.
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C. Grady, S. Rajtmajer, L. Dennis. When smart systems fail: the ethics of cyber-physical critical infrastructure risk. IEEE Symposium on Technology and Society (IEEE ISTAS), November 2020.
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L. Dennis, S. Rajtmajer, C. Grady. Analyzing cyber-physical threats to Pennsylvania dams through a lens of vulnerability. IEEE Symposium on Technology and Society (IEEE ISTAS), November 2020.
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J. Wu, P. Wang, X. Wei, S. Rajtmajer, C. Lee Giles, C. Griffin. Accurate Acknowledgement Entity Recognition in CORD-19 Papers. Workshop on Scholarly Document Processing and Shared Tasks at The Conference on Empirical Methods in Natural Language Processing (SDP @ EMNLP), November 2020.
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C. Akiti, S. Rajtmajer, A. Squicciarini. A Semantics-based Approach to Disclosure Classification in User-Generated Online Content. Findings of The Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020.
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M. Gomez, S. Garcia, S. Rajtmajer, C. Grady, A. Mejia. Fragility of a Multilayer Network of Intrantaional Supply Chains. Applied Network Science, September 2020.
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S. Rajtmajer and D. Susser. Automated Influence and the Challenge of Cognitive Security. ACM Symposium on the Science of Security (ACM HoTSoS), February 2020.
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C. Akiti, S. Rajtmajer, A. Squicciarini. Contextual Representation of Self-Disclosure and Supportivenss in Short Text. Shared Task Paper. The AAAI-20 Workshop on Affective Content Analysis (AAAI AFFCON), January 2020.
2019
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H. Zhong, H. Li, A. Squicciarini, S. Rajtmajer, D. Miller. Toward Image Privacy Classification and Spatial Attribution of Private Content. IEEE International Conference on Big Data, December 2019.
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S. Garcia, S. Rajtmajer, C. Grady, P. Mohammadpour, A. Mejia. Performance of a Multiplex Commodity Flow Network in the United States Under Disturbance. International Conference on Complex Networks and their Applications (Complex Networks), December 2019.
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C. Qiu, A. Squicciarini, S. Rajtmajer. Rating Mechanisms for Sustainability of Crowdsourcing Platforms. ACM Conference on Information and Knowledge Management (CIKM), November 2019.
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C. Griffin, S. Rajtmajer, P. Umar, A. Squicciarini. Power Law Public Goods Game for Personal Information Sharing in News Commentaries. Conference on Decision and Game Theory for Security (GAMESEC), October 2019.
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P. Umar, A. Squicciarini, S. Rajtmajer. Detection and Analysis of Self-Disclosure in Online News Commentaries. The Web Conference (WWW), May 2019.
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C. Griffin, S. Rajtmajer, A. Squicciarini, A. Belmonte. Consensus and Information Cascades in Game-Theoretic Imitation Dynamics with Static and Dynamic Network Topologies. SIAM Journal on Applied Dynamical Systems (SIADS), April 2019.
2018 and earlier
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A. Squicciarini, S. Rajtmajer, N. Zannone. Multi-Party Access Control: Requirements, State of the Art and Open Challenges. Symposium on Access Control Models and Technologies (SACMAT). June 2018.
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N. Gilbert, R. Bernier, V. Calhoun, E. Brenner, E. Grossner, S. Rajtmajer and F. Hillary. Diminished Neural Network Dynamics after Moderate and Severe Traumatic Brain Injury. PLoS One, June 2018.
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J. Semonsen, C. Griffin, A. Squicciarini, S. Rajtmajer. Opinion Dynamics in the Presence of Increasing Agreement Pressure. IEEE Transactions on Cybernetics. February 2018.
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S. Rajtmajer, A. Squicciarini, J. Such, J. Semonsen, and A. Belmonte. An Ultimatum Game Model for the Evolution of Privacy in Jointly Managed Content. Conference on Decision and Game Theory for Security (GAMESEC), October 2017.
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C. Qiu, A. Squicciarini, S. Rajtmajer and J. Caverlee. Dynamic Contract Design for Heterogeneous Workers in Crowdsourcing for Quality Control. International Conference on Digital Society (IEEE ICDS), July 2017.
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A. Squicciarini, S. Rajtmajer and C. Griffin. Positive and Negative Behavioral Analysis in Social Networks. WIRE Data Mining and Knowledge Discovery, May 2017.
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J. Semonsen, C. Griffin, A. Squicciarini, and S. Rajtmajer. Consensus on Social Graphs under Increasing Peer Pressure (Extended Abstract). International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2017.
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H. Zhong, H. Li, A. Squicciarini, S. Rajtmajer, C. Griffin, D. Miller and C. Caragea. Content- Driven Detection of Cyberbullying on the Instagram Social Network. International Conference on Artificial Intelligence (IJCAI), July 2016.
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C. Liao, A. Squicciarini, C. Griffin and S. Rajtmajer. A Hybrid Epidemic Model for Deindividuation and Antinormative Behavior in Online Social Networks. Social Network Analysis and Mining (SNAM), January 2016.
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C. Griffin, S. Rajtmajer, and A. Squicciarini. A Model of Paradoxical Privacy Behavior (Invited paper). International Conference on Collaboration and Internet Computing (IEEE CIC), October 2016.
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A. Tyagi, A. Squicciarini, S. Rajtmajer, C. Griffin. An In-Depth Study of Peer Influence on Collective Decision Making for Multi-party Access Control (Invited Paper). International Conference on Information Reuse and Integration (IEEE ICI), July 2016.
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S. Rajtmajer, C. Griffin and A. Squicciarini. Constrained Social-Energy Minimization for Multi- Party Sharing in Online Social Networks. International Conference on Autonomous and Multiagent Systems (AAMAS), Singapore, May 2016.
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S. Rajtmajer, C. Griffin and A. Squicciarini. Determining a Discrete Set of Site-Constrained Privacy Options for Users in Social Networks through Stackelberg Games. Conference on Decision and Game Theory for Security (GAMESEC), London, UK, November 2015.
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C. Liao, A. Squicciarini, C. Griffin and S. Rajtmajer. A Hybrid Epidemic Model for the Spread of Abusive Content in Online Social Sites. In Proc. 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), August 2015.
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A. Squicciarini, S. Rajtmajer, Y. Liu and C. Griffin. Identification and Characterization of Cyberbullying Dynamics in an Online Social Network. In Proc. 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), August 2015.
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S. Rajtmajer, C. Griffin, D. Mikesell and A. Squicciarini. An Evolutionary Game Model for the Spread of Non-Cooperative Behavior in Online Social Networks. In Proc. 30th ACM Symposium on Applied Computing, April 2015.
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S. Rajtmajer, A. Roy, R. Albert, P. Molenaar and F. Hillary. A Voxelwise Approach to Determine Consensus Regions-of-Interest for the Study of Brain Network Plasticity. Frontiers in Neuroanatomy, July 2015.
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F. Hillary, N. Castellanos, R. Bajo and S. Rajtmajer. Hyperconnectivity as a Common Neural Response to Neurological Disorder. Neuropsychology, January 2015.
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U. Venkatesan, S. Rajtmajer and F. Hillary. Connectivity modeling and neuroplasticity after trauma. In Plasticity of Cognition in Neurologic Disorders. Oxford University Press, January 2015.
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F. Hillary, S. Rajtmajer, C. Roman, J. Medaglia, J. Slocomb, D. Good and G. Wylie. The Rich Get Richer: Brain Injury Elicits Hyperconnectivity in Core Subnetworks. PLoS One, August 2014.
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C. Griffin, A. Squicciarini, S. Rajtmajer, M. Tentilucci and S. Lin. Site-Constrained Privacy Options for Users in Social Networks through Stackelberg Games. In Proc. Sixth ASE International Conference on Social Computing, May 2014.
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D. Bein, B. Madan, S. Phoha, S. Rajtmajer and A. Rish. Dynamic Data-Driven Sensor Network Adaptation
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for Border Control. In Proc. SPIE Defense, Security and Sensing, April 2013.
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S. Rajtmajer, B. Smith and S. Phoha. Non-Negative Sparse Autoencoder Neural Networks for the Detection of Overlapping, Hierarchical Communities in Networked Datasets. Chaos, December 2012.
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S. Rajtmajer and D. Vukicevic. A Note on the Estrada Communicability Algorithm for Community Structure Detection in Complex Networks. Applied Mathematics and Computation, December 2010.
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D. Vukicevic, S. Rajtmajer and N. Trinajstic. Trees with Maximal Second Zagreb Index and Prescribed Number of Vertices of Given Degree. MATCH Communications in Mathematical and Computer Chemistry, January 2008.
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D. Vukicevic, J. Sedlar and S. Rajtmajer. A Graph-Theoretical Method for the Partial Ordering of Alkanes. Croatica Chemica Acta 80: 169-179, February 2007.