Graph and network theory for the analysis of criminal networks

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Cavallaro, L., Bagdasar, O., de Meo, P., Liotta, A. and Fiumara, G. 2021. Graph and network theory for the analysis of criminal networks. Springer, Cham. https://doi.org/10.1007/978-3-030-67197-6_8
AuthorsCavallaro, L., Bagdasar, O., de Meo, P., Liotta, A. and Fiumara, G.
Abstract

Social Network Analysis is the use of Network and Graph Theory to study social phenomena, which was found to be highly relevant in areas like Criminology. This chapter provides an overview of key methods and tools that may be used for the analysis of criminal networks, which are presented in a real-world case study. Starting from available juridical acts, we have extracted data on the interactions among suspects within two Sicilian Mafia clans, obtaining two weighted undirected graphs. Then, we have investigated the roles of these weights on the criminal networks properties, focusing on two key features: weight distribution and shortest path length. We also present an experiment that aims to construct an artificial network which mirrors criminal behaviours. To this end, we have conducted a comparative degree distribution analysis between the real criminal networks, using some of the most popular artificial network models: Watts-Strogats, Erdős-Rényi, and Barabási-Albert, with some topology variations. This chapter will be a valuable tool for researchers who wish to employ social network analysis within their own area of interest.

KeywordsGraph theory; Network theory; criminal networks
Year2021
PublisherSpringer, Cham
ISSN2331-8422
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-67197-6_8
Web address (URL)http://www.scopus.com/inward/record.url?eid=2-s2.0-85102832083&partnerID=MN8TOARS
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Publication dates2021
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Deposited29 Apr 2021, 14:10
Accepted01 Jul 2020
ISBN9783030671969
JournalarXiv
ContributorsUniversity of Derby, University of Messina, Italy and Free University of Bozen-Bolzano, Italy
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Towards Multi-layer Interoperability of Heterogeneous IoT Platforms: The INTER-IoT Approach
Chincoli, Michele and Liotta, Antonio 2018. Towards Multi-layer Interoperability of Heterogeneous IoT Platforms: The INTER-IoT Approach. in: Springer, Cham.
Smart Anomaly Detection for Sensor Systems: Computational Intelligence Techniques for Sensor Networks and Applications
Liotta, Antonio, Bosman, Hedde and Iacca, Giovanni 2014. Smart Anomaly Detection for Sensor Systems: Computational Intelligence Techniques for Sensor Networks and Applications. Springer Publishing Company, Incorporated.
Cognitive No-Reference Video Quality Assessment for Mobile Streaming Services
Vega, Maria Torres, Giordano, Emanuele, Mocanu, Decebal Constantin, Tjondronegoro, Dian and Liotta, Antonio 2015. Cognitive No-Reference Video Quality Assessment for Mobile Streaming Services. IEEE. https://doi.org/10.1109/QoMEX.2015.7148128
Data Driven Transmission Power Control for Wireless Sensor Networks
Kotian, Roshan, Exarchakos, Georgios and Liotta, Antonio 2015. Data Driven Transmission Power Control for Wireless Sensor Networks. Springer. https://doi.org/10.1007/978-3-319-23237-9_8
Factored four way conditional restricted boltzmann machines for activity recognition
Mocanu, Decebal Constantin, Ammar, Haitham Bou, Lowet, Dietwig, Driessens, Kurt, Liotta, Antonio, Weiss, Gerhard and Tuyls, Karl 2015. Factored four way conditional restricted boltzmann machines for activity recognition. Elsevier.
Inexpensive user tracking using boltzmann machines
Mocanu, Elena, Mocanu, Decebal Constantin, Ammar, Haitham Bou, Zivkovic, Zoran, Liotta, Antonio and Smirnov, Evgueni 2014. Inexpensive user tracking using boltzmann machines. in: IEEE.
Resource Allocation in Optical Beam-Steered Indoor Networks
Vega, M Torres, Famaey, Jeroen, Koonen, AMJ and Liotta, Antonio 2016. Resource Allocation in Optical Beam-Steered Indoor Networks. https://doi.org/10.1109/NOMS.2016.7502839
Resilience of Video Streaming Services to Network Impairments
Vega, Maria Torres, Perra, Cristian and Liotta, Antonio 2018. Resilience of Video Streaming Services to Network Impairments. IEEE. https://doi.org/10.1109/TBC.2017.2781125
Predictive no-reference assessment of video quality
Vega, Maria Torres, Mocanu, Decebal Constantin, Stavrou, Stavros and Liotta, Antonio 2017. Predictive no-reference assessment of video quality. Signal Processing: Image Communication. https://doi.org/10.1016/j.image.2016.12.001
A Task-Oriented Framework for Networked Wearable Computing
Galzarano, Stefano, Giannantonio, Roberta, Liotta, Antonio and Fortino, Giancarlo 2014. A Task-Oriented Framework for Networked Wearable Computing. IEEE Transactions on Automation Science and Engineering. https://doi.org/10.1109/TASE.2014.2365880
TSCH schedules assessment
van der Lee, Tim, Liotta, Antonio and Exarchakos, Georgios 2017. TSCH schedules assessment. IEEE. https://doi.org/10.1109/ICNSC.2017.8000175
Redundancy reduction in Wireless Sensor Networks via Centrality Metrics
Mocanu, Decebal Constantin, Torres Vega, M. and Liotta, Antonio 2015. Redundancy reduction in Wireless Sensor Networks via Centrality Metrics. IEEE. https://doi.org/10.1109/ICDMW.2015.53
Cognitive streaming on android devices
Vega, Maria Torres, Mocanu, Decebal Constantin, Barresi, Rosario, Fortino, Giancarlo and Liotta, Antonio 2015. Cognitive streaming on android devices. IEEE. https://doi.org/10.1109/INM.2015.7140488
Network performance assessment with quality of experience benchmarks
Mocanu, Decebal Constantin, Santandrea, Giuliano, Cerroni, Walter, Callegati, Franco and Liotta, Antonio 2014. Network performance assessment with quality of experience benchmarks. IEEE. https://doi.org/10.1109/CNSM.2014.7014187
Unsupervised deep learning for real-time assessment of video streaming services
Vega, Maria Torres, Mocanu, Decebal Constantin and Liotta, Antonio 2017. Unsupervised deep learning for real-time assessment of video streaming services. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-017-4831-6
Transmission power control in WSNs: from deterministic to cognitive methods
Chincoli, Michele and Liotta, Antonio 2018. Transmission power control in WSNs: from deterministic to cognitive methods. in: Springer, Cham.
Effect of lossy networks on stereoscopic 3D-video streams
Torres Vega, Maria, Perra, Cristian, Mocanu, Decebal Constantin and Liotta, Antonio 2017. Effect of lossy networks on stereoscopic 3D-video streams. https://doi.org/10.1109/BMSB.2017.7986181
Impact of transmission power control in multi-hop networks
Kotian, Roshan, Exarchakos, Georgios, Stavros, Stavrou and Liotta, Antonio 2017. Impact of transmission power control in multi-hop networks. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2016.10.010
Network analysis on Skype end-to-end video quality
Exarchakos, George, Druda, Luca, Menkovski, Vlado and Liotta, Antonio 2015. Network analysis on Skype end-to-end video quality. International Journal of Pervasive Computing and Communications. https://doi.org/10.1108/IJPCC-08-2014-0044
Power Control in Wireless Sensor Networks with Variable Interference
Chincoli, Michele, Syed, Aly, Exarchakos, George and Liotta, Antonio 2016. Power Control in Wireless Sensor Networks with Variable Interference. Mobile Information Systems. https://doi.org/10.1155/2016/3592581
Reliable low-power wireless networks over unstable transmission power
Kotian, Roshan, Exarchakos, Georgios and Liotta, Antonio 2017. Reliable low-power wireless networks over unstable transmission power. IEEE. https://doi.org/10.1109/ICNSC.2017.8000193
Node centrality awareness via swarming effects
Mocanu, Decebal Constantin, Exarchakos, Georgios and Liotta, Antonio 2014. Node centrality awareness via swarming effects. IEEE. https://doi.org/10.1109/SMC.2014.6973878
A report on the First IFIP/IEEE Workshop on Quality of Experience Centric Management (QCMan 2013)
Latré, Steven, Liotta, Antonio and Turck, Filip De 2014. A report on the First IFIP/IEEE Workshop on Quality of Experience Centric Management (QCMan 2013). https://doi.org/10.1007/s10922-014-9301-0
A regression method for real-time video quality evaluation
Torres Vega, M., Mocanu, Decebal Constantin and Liotta, Antonio 2016. A regression method for real-time video quality evaluation. https://doi.org/10.1145/3007120.3007125
Decentralized dynamic understanding of hidden relations in complex networks
Mocanu, Decebal Constantin, Exarchakos, Georgios and Liotta, Antonio 2017. Decentralized dynamic understanding of hidden relations in complex networks. Scientific Reports. https://doi.org/10.1038/s41598-018-19356-4
Evaluating machine learning algorithms for applications with humans in the loop
Gopalakrishna, Aravind Kota, Ozcelebi, Tanir, Lukkien, Johan J and Liotta, Antonio 2017. Evaluating machine learning algorithms for applications with humans in the loop. IEEE. https://doi.org/10.1109/ICNSC.2017.8000136
Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks
Vega, Maria Torres, Koonen, A. M. J., Liotta, Antonio and Famaey, Jeroen 2017. Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks. IEEE. https://doi.org/10.1109/LWC.2017.2771771
Optimizing route prior knowledge for map-aided fingerprint-based positioning systems
Kokkinis, Akis, Kanaris, Loizos, Raspopoulos, Marios, Liotta, Antonio and Stavrou, Stavros 2014. Optimizing route prior knowledge for map-aided fingerprint-based positioning systems. IEEE. https://doi.org/10.1109/EuCAP.2014.6902232
Predictive Power Control in Wireless Sensor Networks
Chincoli, Michele, Syed, Aly Aamer, Mocanu, Decebal and Liotta, Antonio 2016. Predictive Power Control in Wireless Sensor Networks. IEEE. https://doi.org/10.1109/IoTDI.2015.11
Enhancing internet and distributed computing systems with wireless sensor networks
Fortino, Giancarlo, Gravina, Raffaele, Li, Wenfeng, Hassan, Mohammad Mehedi and Liotta, Antonio 2015. Enhancing internet and distributed computing systems with wireless sensor networks. https://doi.org/10.1155/2015/564695
Deep learning for objective quality assessment of 3D images
Mocanu, Decebal Constantin, Exarchakos, Georgios and Liotta, Antonio 2014. Deep learning for objective quality assessment of 3D images. IEEE. https://doi.org/10.1109/ICIP.2014.7025152
A learning-based mac for energy efficient wireless sensor networks
Galzarano, Stefano, Fortino, Giancarlo and Liotta, Antonio 2014. A learning-based mac for energy efficient wireless sensor networks. Springer, Cham. https://doi.org/10.1007/978-3-319-11692-1_34
Accuracy of no-reference quality metrics in network-impaired video streams
Vega, Maria Torres, Sguazzo, Vittorio, Mocanu, Decebal Constantin and Liotta, Antonio 2015. Accuracy of no-reference quality metrics in network-impaired video streams. ACM. https://doi.org/10.1145/2837126.2837150
Distributed TSCH scheduling: A comparative analysis
van der Lee, Tim, Exarchakos, Georgios and Liotta, Antonio 2017. Distributed TSCH scheduling: A comparative analysis. IEEE. https://doi.org/10.1109/SMC.2017.8123176
Self-Learning Power Control in Wireless Sensor Networks
Chincoli, Michele and Liotta, Antonio 2018. Self-Learning Power Control in Wireless Sensor Networks. Sensors. https://doi.org/10.3390/s18020375
Integration, Interconnection, and Interoperability of IoT Systems
Gravina, Raffaele, Palau, Carlos E, Manso, Marco, Liotta, Antonio and Fortino, Giancarlo 2018. Integration, Interconnection, and Interoperability of IoT Systems. Springer International Publishing.
When does lower bitrate give higher quality in modern video services?
Mocanu, Decebal Constantin, Liotta, Antonio, Ricci, Arianna, Vega, Maria Torres and Exarchakos, Georgios 2014. When does lower bitrate give higher quality in modern video services? IEEE. https://doi.org/10.1109/NOMS.2014.6838400
A topological insight into restricted Boltzmann machines (extented abstract)
Mocanu, Decebal Constantin, Mocanu, Elena, Nguyen, Phuong H., Gibescu, Madeleine and Liotta, Antonio 2016. A topological insight into restricted Boltzmann machines (extented abstract).
Reduced reference image quality assessment via boltzmann machines
Mocanu, Decebal Constantin, Exarchakos, Georgios, Ammar, Haitham Bou and Liotta, Antonio 2015. Reduced reference image quality assessment via boltzmann machines. IEEE. https://doi.org/10.1109/INM.2015.7140481
Big IoT data mining for real-time energy disaggregation in buildings
Mocanu, Decebal Constantin, Mocanu, Elena, Nguyen, Phuong H., Gibescu, Madeleine and Liotta, Antonio 2016. Big IoT data mining for real-time energy disaggregation in buildings. IEEE. https://doi.org/10.1109/SMC.2016.7844820
Estimating 3d trajectories from 2d projections via disjunctive factored four-way conditional restricted boltzmann machines
Mocanu, Decebal Constantin, Ammar, Haitham Bou, Puig, Luis, Eaton, Eric and Liotta, Antonio 2017. Estimating 3d trajectories from 2d projections via disjunctive factored four-way conditional restricted boltzmann machines. Pattern Recognition. https://doi.org/10.1016/j.patcog.2017.04.017
A Report on the First IFIP/IEEE Workshop on Quality of Experience Centric Management (QCMan 2013)
Latré, Steven, Liotta, Antonio and De Turck, Filip 2014. A Report on the First IFIP/IEEE Workshop on Quality of Experience Centric Management (QCMan 2013). Journal of Network and Systems Management. https://doi.org/10.1007/s10922-014-9301-0
Real time 10Gb-ethernet transmission over 2D indoor passive beam steered optical wireless system based on high port arrayed waveguide gratings
Khalid, Amir Masood, Vega, Maria Torres, Mekonen, Ketamaw A., Cao, Zizheng, Liotta, Antonio and Koonen, A.M. J. 2016. Real time 10Gb-ethernet transmission over 2D indoor passive beam steered optical wireless system based on high port arrayed waveguide gratings. VDE.
A topological insight into restricted Boltzmann machines
Mocanu, Decebal Constantin, Mocanu, Elena, Nguyen, Phuong H., Gibescu, Madeleine and Liotta, Antonio 2016. A topological insight into restricted Boltzmann machines. Machine Learning. https://doi.org/10.1007/s10994-016-5570-z
Combining smart lighting and radio fingerprinting for improved indoor localization
Kanaris, Loizos, Kokkinis, Akis, Liotta, Antonio and Stavrou, Stavros 2017. Combining smart lighting and radio fingerprinting for improved indoor localization. IEEE. https://doi.org/10.1109/ICNSC.2017.8000134
Monitoring Network Use of Resources
Menkovski, Vlado, Den Hartog, Frank and Liotta, Antonio 2016. Monitoring Network Use of Resources.
Interference mitigation through adaptive power control in wireless sensor networks
Chincoli, Michele, Bacchiani, Claudio, Syed, Aly Aamer, Exarchakos, Geogios and Liotta, Antonio 2015. Interference mitigation through adaptive power control in wireless sensor networks. IEEE. https://doi.org/10.1109/SMC.2015.232
Assessment of proactive transmission power control for wireless sensor networks
Kotian, Roshan, Exarchakos, Georgios and Liotta, Antonio 2014. Assessment of proactive transmission power control for wireless sensor networks. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering). https://doi.org/10.4108/icst.bodynets.2014.258209
QoE modelling for VP9 and H. 265 videos on mobile devices
Song, Wei, Xiao, Yao, Tjondronegoro, Dian and Liotta, Antonio 2015. QoE modelling for VP9 and H. 265 videos on mobile devices. ACM. https://doi.org/10.1145/2733373.2806256
End-to-end performance evaluation in high-speed wireless networks
Vega, Maria Torres, Zou, Shihuan, Mocanu, Decebal Constantin, Tangdiongga, Eduward, Koonen, A. M. J. and Liotta, Antonio 2014. End-to-end performance evaluation in high-speed wireless networks. IEEE. https://doi.org/10.1109/CNSM.2014.7014190
Spatial anomaly detection in sensor networks using neighborhood information
Bosman, Hedde HWJ, Iacca, Giovanni, Tejada, Arturo, Wörtche, Heinrich J and Liotta, Antonio 2016. Spatial anomaly detection in sensor networks using neighborhood information. Information Fusion. https://doi.org/10.1016/j.inffus.2016.04.007
Learning networks for complex interconnections
Mocanu, Decebal Constantin, Exarchakos, Georgios and Liotta, Antonio 2016. Learning networks for complex interconnections.
Relevance prevails: missing data treatment in intelligent lighting
Gopalakrishna, Aravind Kota, Ozcelebi, Tanir, Liotta, Antonio and Lukkien, Johan J. 2014. Relevance prevails: missing data treatment in intelligent lighting. Springer, Cham. https://doi.org/10.1007/978-3-319-02309-0_40
Sample size determination algorithm for fingerprint-based indoor localization systems
Kanaris, Loizos, Kokkinis, Akis, Fortino, Giancarlo, Liotta, Antonio and Stavrou, Stavros 2016. Sample size determination algorithm for fingerprint-based indoor localization systems. Computer Networks. https://doi.org/10.1016/j.comnet.2015.12.015
Two-dimensional optical beam steering module
Koonen, Antonius Marcellus Jozef, Baltus, Peter GM and Liotta, Antonio 2016. Two-dimensional optical beam steering module.
Ensembles of incremental learners to detect anomalies in ad hoc sensor networks
Bosman, Hedde HWJ, Iacca, Giovanni, Tejada, Arturo, Wörtche, Heinrich J and Liotta, Antonio 2015. Ensembles of incremental learners to detect anomalies in ad hoc sensor networks. ad hoc networks. https://doi.org/10.1016/j.adhoc.2015.07.013
Quality of fingerprint radiomaps for positioning systems
Kanaris, Loizos, Kokkinis, Akis, Liotta, Antonio and Stavrou, Stavros 2017. Quality of fingerprint radiomaps for positioning systems. IEEE. https://doi.org/10.1109/ICT.2017.7998235
Fusing Bluetooth beacon data with Wi-Fi radiomaps for improved indoor localization
Kanaris, Loizos, Kokkinis, Akis, Liotta, Antonio and Stavrou, Stavros 2017. Fusing Bluetooth beacon data with Wi-Fi radiomaps for improved indoor localization. Sensors. https://doi.org/10.3390/s17040812
plexi: Adaptive re-scheduling web-service of time synchronized low-power wireless networks
Exarchakos, Georgios, Oztelcan, Ilker, Sarakiotis, Dimitris and Liotta, Antonio 2017. plexi: Adaptive re-scheduling web-service of time synchronized low-power wireless networks. Journal of Network and Computer Applications. https://doi.org/10.1016/j.jnca.2016.06.013
The double link between network science and artificial intelligence: a key to scalable learning solutions?
Mocanu, Decebal Constantin, Exarchakos, Georgios and Liotta, Antonio 2016. The double link between network science and artificial intelligence: a key to scalable learning solutions?
Towards ABAC Policy Mining from Logs with Deep Learning
Mocanu, Decebal Constantin, Turkmen, Fatih and Liotta, Antonio 2015. Towards ABAC Policy Mining from Logs with Deep Learning.
Improving RSS fingerprint-based localization using directional antennas
Kanaris, Loizos, Kokkinis, Akis, Raspopoulos, Marios, Liotta, Antonio and Stavrou, Stavros 2014. Improving RSS fingerprint-based localization using directional antennas. IEEE. https://doi.org/10.1109/EuCAP.2014.6902090
Unifying local-global type properties in vector optimization.
Bagdasar, Ovidiu and Popovici, Nicolae 2018. Unifying local-global type properties in vector optimization. Journal of Global Optimization. https://doi.org/10.1007/s10898-018-0656-8
Case studies: Using heuristics.
Lowndes, Val, Bagdasar, Ovidiu and Berry, Stuart 2017. Case studies: Using heuristics. in: Springer.
Further use of heuristic methods.
Lowndes, Val, Berry, Stuart, Parkes, Chris, Bagdasar, Ovidiu and Popovici, Nicolae 2017. Further use of heuristic methods. in: Springer.
On the geometry of certain periodic non-homogeneous Horadam sequences.
Bagdasar, Ovidiu and Popa, Ioan-Lucian 2016. On the geometry of certain periodic non-homogeneous Horadam sequences. Electronic Notes in Discrete Mathematics. https://doi.org/10.1016/j.endm.2016.11.002
New results and conjectures on 2-partitions of multisets.
Bagdasar, Ovidiu and Andrica, Dorin 2017. New results and conjectures on 2-partitions of multisets. Proceedings of the 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO). https://doi.org/10.1109/ICMSAO.2017.7934928
A pilot study mapping citizens' interaction with urban nature
Ferrara, E., Liotta, A., Erhan, L., Ndubuaku, M., Giusto, D., Richardson, M., Sheffield, D. and McEwan, K. 2018. A pilot study mapping citizens' interaction with urban nature. IEEE International Symposium on Dependable, Autonomic and Secure Computing. Athens, Greece 12 - 15 Aug 2018 IEEE. https://doi.org/10.1109/dasc/picom/datacom/cyberscitec.2018.00-21
A Demographic Analysis of Urban Nature Utilization
Ferrara, E., Liotta, A., Ndubuaku, M., Erhan, L., Giusto, D., Richardson, M., Sheffield, D. and McEwan, K. 2018. A Demographic Analysis of Urban Nature Utilization. 10th Computer Science and Electronic Engineering Conference. 19 - 21 Sep 2018 IEEE Xplore. https://doi.org/10.1109/ceec.2018.8674206
Qualitative case study methodology: Automatic design and correction of ceramic colors
Bagdasar, O., Birluţiu, A., Chen, M. and Popa, I.-L. 2017. Qualitative case study methodology: Automatic design and correction of ceramic colors. IEEE. https://doi.org/10.1109/icstcc.2017.8107118
New results and conjectures on 2-partitions of multisets
Bagdasar, O. and Andrica, D. 2017. New results and conjectures on 2-partitions of multisets. 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017. IEEE Computer Society. https://doi.org/10.1109/icmsao.2017.7934928
ON THE MASKED PERIODICITY OF HORADAM SEQUENCES: A GENERATOR-BASED APPROACH
Bagdasar, Ovidiu D., Larcombe, Peter J. and Bagdasar, O. 2017. ON THE MASKED PERIODICITY OF HORADAM SEQUENCES: A GENERATOR-BASED APPROACH. Fibonacci Quarterly.
Deepeddy: A simple deep architecture for mesoscale oceanic eddy detection in sar images
Huang, Dongmei, Du, Yanling, He, Q., Song, Wei and Liotta, Antonio 2017. Deepeddy: A simple deep architecture for mesoscale oceanic eddy detection in sar images. IEEE. https://doi.org/10.1109/ICNSC.2017.8000171
LOCAL MAXIMIZERS OF GENERALIZED CONVEX VECTOR-VALUED FUNCTIONS
Bagdasar, Ovidiu, Popovici, Nicolae and Bagdasar, O. 2017. LOCAL MAXIMIZERS OF GENERALIZED CONVEX VECTOR-VALUED FUNCTIONS. Journal of Nonlinear and Convex Analysis.
On the number of complex horadam sequences with a fixed period
Bagdasar, Ovidiu and Larcombe, Peter J. 2013. On the number of complex horadam sequences with a fixed period. Fibonacci Quarterly.
On the characterization of periodic complex Horadam sequences
Bagdasar, Ovidiu and Larcombe, Peter J. 2013. On the characterization of periodic complex Horadam sequences. Fibonacci Quarterly.
On a result of Bunder involving Horadam sequences: A proof and generalization
Larcombe, Peter J. and Bagdasar, Ovidiu 2013. On a result of Bunder involving Horadam sequences: A proof and generalization. Fibonacci Quarterly.
Influence discovery in semantic networks: An initial approach
Trovati, M. and Bagdasar, O. 2014. Influence discovery in semantic networks: An initial approach. IEEE. https://doi.org/10.1109/uksim.2014.48
Complementary iInequalities involving the Stolarsky Mean
Bagdasar, Ovidiu 2010. Complementary iInequalities involving the Stolarsky Mean. Journal of Inequalities and Applications. https://doi.org/10.1155/2010/492570
Concise computer mathematics: tutorials on theory and problems
Bagdasar, Ovidiu 2013. Concise computer mathematics: tutorials on theory and problems. Springer.
On the characterization of periodic generalized Horadam sequences
Bagdasar, Ovidiu and Larcombe, Peter J. 2014. On the characterization of periodic generalized Horadam sequences. Journal of Difference Equations and Applications. https://doi.org/10.1080/10236198.2014.891022
Local maximum points of explicitly quasiconvex functions
Bagdasar, Ovidiu and Popovici, Nicolae 2014. Local maximum points of explicitly quasiconvex functions. Optimization Letters. https://doi.org/10.1007/s11590-014-0781-3
A horadam-based pseudo-random number generator
Bagdasar, O.D., Chen, M. and Bagdasar, O. 2014. A horadam-based pseudo-random number generator. IEEE. https://doi.org/10.1109/uksim.2014.55
On the structure of periodic complex Horadam orbits
Bagdasar, Ovidiu D., Larcombe, Peter J., Anjum, Ashiq and Bagdasar, O. 2016. On the structure of periodic complex Horadam orbits. Carpathian Journal of Mathematics.
Characterizations of Generalized Exponential Trichotomies for Linear Discrete-time Systems
Popa, I.-L., Ceauşu, T., Bagdasar, O. and Agarwal, R.P. 2016. Characterizations of Generalized Exponential Trichotomies for Linear Discrete-time Systems. Analele Stiintifice ale Universitatii Ovidius Constanta, Seria Matematica. 27 (2), pp. 153-166. https://doi.org/10.2478/auom-2019-0025
On some functions involving the lcm and gcd of integer tuples
Bagdasar, Ovidiu 2014. On some functions involving the lcm and gcd of integer tuples. Scientific Publications of the State University of Novi Pazar Series A: Applied Mathematics, Informatics and mechanics. https://doi.org/10.5937/SPSUNP1402091B
ON A RESULT OF BUNDER INVOLVING HORADAM SEQUENCES: A NEW PROOF
Larcombe, Peter J., Bagdasar, O. and Fennessey, Eric J. 2014. ON A RESULT OF BUNDER INVOLVING HORADAM SEQUENCES: A NEW PROOF. Fibonacci Quarterly. pp. 175-177.