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ORCIDJournal of Complex Networks, Volume 9
Volume 9, Number 1, April 2021
- Gabriel G. Piva, Fabiano L. Ribeiro
, Angelica S. Mata:
Networks with growth and preferential attachment: modelling and applications. - Jürgen Jost, Raffaella Mulas:
Normalized Laplace operators for hypergraphs with real coefficients. - Masatoshi Goda, Ryosuke Yano, Takayuki Mizuno:
Multivariate Hawkes process analysis of posts on a web service about uncomfortable gender experiences. - Sarah Mackay, Colin Ponce, Sarah Osborn, Meghan B. McGarry:
Finding diverse ways to improve algebraic connectivity through multi-start optimization. - Janaína Gomide, Hugo Kling, Daniel Ratton Figueiredo:
Consolidating identities in anonymous ego-centred collaboration networks. - Sirag Erkol, Filippo Radicchi:
Who is the best coach of all time? A network-based assessment of the career performance of professional sports coaches.
Volume 9, Number 2, May 2021
- Benedek Rozemberczki, Carl Allen, Rik Sarkar:
Multi-Scale attributed node embedding. - George T. Cantwell, Alec Kirkley, M. E. J. Newman:
The friendship paradox in real and model networks. - Lotte Weedage, Nelly Litvak, Clara Stegehuis:
Locating highly connected clusters in large networks with HyperLogLog counters. - Pritha Guha, Avijit Bansal, Apratim Guha, Anindya S. Chakrabarti:
Gravity and depth of social media networks. - Clive Emary, Hugo Fort:
Markets as ecological networks: inferring interactions and identifying communities. - Satu Elisa Schaeffer, Valeria Valdés, Javiera Figols, Ivana Bachmann, Fernando Morales, Javier Bustos-Jiménez:
Characterization of robustness and resilience in graphs: a mini-review. - Yelie Yuan, Jun Yan, Panpan Zhang:
Assortativity measures for weighted and directed networks. - Josefine Bohr Brask, Samuel Ellis, Darren P. Croft:
Animal social networks: an introduction for complex systems scientists. - Florian Klimm, Charlotte M. Deane, Gesine Reinert:
Hypergraphs for predicting essential genes using multiprotein complex data. - Máté Józsa, Alpar S. Lázár, Zsolt I. Lázár:
Opportunities and challenges in partitioning the graph measure space of real-world networks.
Volume 9, Number 3, August 2021
- Gemma Rosell-Tarragó, Albert Díaz-Guilera:
Quasi-symmetries in complex networks: a dynamical model approach.
Volume 9, Number 4, September 2021
- Marian-Gabriel Hâncean, Jürgen Lerner, Matjaz Perc, Maria Cristina Ghita, David-Andrei Bunaciu, Adelina Alexandra Stoica, Bianca-Elena Mihaila:
The role of age in the spreading of COVID-19 across a social network in Bucharest. - Mahdi Moshiri, Farshad Safaei, Zeynab Samei:
A novel recovery strategy based on link prediction and hyperbolic geometry of complex networks.
Volume 9, Number 5, September 2021
- Eeti Jain, Anurag Singh:
Opinion evolution in society with stubborn agents using Temporal Model for Opinion and Triad Network Formation (TMOTNF). - Furkan Gursoy, Bertan Badur:
Extracting the signed backbone of intrinsically dense weighted networks. - Ana Cludia, M. de Souza, Alex Borges Vieira, Klaus Wehmuth, Artur Ziviani:
Connectivity-based time centrality in time-varying graphs. - Andrew D. Barbour, Gesine Reinert:
Estimating the correlation in network disturbance models. - Daniel Oliveira Cajueiro, Saulo Benchimol Bastos, Camila C. Pereira, Roberto F. S. Andrade:
A model of indirect contagion based on a news similarity network. - Tatjana Petrov, Stefano Tognazzi:
Exact and approximate role assignment for multi-layer networks. - Alejandro P. Riascos, José L. Mateos:
Random walks on weighted networks: a survey of local and non-local dynamics. - Omer Subasi, Samrat Chatterjee:
Efficient sampling of complex interdependent and multiplex networks. - Thong Pham, Paul Sheridan, Hidetoshi Shimodaira:
Non-parametric estimation of the preferential attachment function from one network snapshot.
Volume 9, Number 6, October 2021
- Massimo Stella, Anastasiya Kapuza, Catherine Cramer, Stephen M. Uzzo:
Mapping computational thinking mindsets between educational levels with cognitive network science. - Tiago Simas, Rion Brattig Correia, Luis M. Rocha:
The distance backbone of complex networks. - Saran Chen, Xin Lu, Fredrik Liljeros, Zhongwei Jia, Luis E. C. Rocha:
Indirect inference of sensitive variables with peer network survey. - Michele Coscia:
Pearson correlations on complex networks. - Jelena Smiljanic, Christopher Blöcker, Daniel Edler, Martin Rosvall:
Mapping flows on weighted and directed networks with incomplete observations. - Paola Boito, Roberto Grena:
Quantum hub and authority centrality measures for directed networks based on continuous-time quantum walks. - Suzana de Siqueira Santos, André Fujita, Catherine Matias:
Spectral density of random graphs: convergence properties and application in model fitting. - Gavin S. Hartnett, Edward Parker, Timothy R. Gulden, Raffaele Vardavas, David Kravitz:
Modelling the impact of social distancing and targeted vaccination on the spread of COVID-19 through a real city-scale contact network. - Rajesh Kumar, Suchi Kumari, Manju Bala:
Minimizing the Effect of Cascade Failure in Multilayer Networks with Optimal Redistribution of Link Loads. - A. Renjini, M. S. Swapna, Vimal Raj, S. Sankararaman:
Graph-based feature extraction and classification of wet and dry cough signals: a machine learning approach. - Shyam Sundar Meena, Vrinda Tokekar:
Community detection in social networks by incorporating the preferential selection. - Satya Jayadev P., Ramkrishna Pasumarthy, Nirav P. Bhatt:
Predicting unknown directed links of conserved networks from flow data.
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