| # | Title | Journal | Year | Citations |
|---|
| 1 | A survey on graph kernels | Applied Network Science | 2020 | 201 |
| 2 | The many facets of community detection in complex networks | Applied Network Science | 2017 | 125 |
| 3 | Urban spatial order: street network orientation, configuration, and entropy | Applied Network Science | 2019 | 123 |
| 4 | On community structure in complex networks: challenges and opportunities | Applied Network Science | 2019 | 104 |
| 5 | Connectivity and complex systems: learning from a multi-disciplinary perspective | Applied Network Science | 2018 | 101 |
| 6 | A review of stochastic block models and extensions for graph clustering | Applied Network Science | 2019 | 89 |
| 7 | CDLIB: a python library to extract, compare and evaluate communities from complex networks | Applied Network Science | 2019 | 73 |
| 8 | Network science approach to modelling the topology and robustness of supply chain networks: a review and perspective | Applied Network Science | 2017 | 62 |
| 9 | Persistence homology of networks: methods and applications | Applied Network Science | 2019 | 61 |
| 10 | Public risk perception and emotion on Twitter during the Covid-19 pandemic | Applied Network Science | 2020 | 56 |
| 11 | Feature-rich networks: going beyond complex network topologies | Applied Network Science | 2019 | 54 |
| 12 | An information-theoretic, all-scales approach to comparing networks | Applied Network Science | 2019 | 52 |
| 13 | Corruption and complexity: a scientific framework for the analysis of corruption networks | Applied Network Science | 2020 | 43 |
| 14 | Nodal vulnerability to targeted attacks in power grids | Applied Network Science | 2018 | 40 |
| 15 | Identifying network structure similarity using spectral graph theory | Applied Network Science | 2018 | 39 |
| 16 | Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei | Applied Network Science | 2020 | 39 |
| 17 | A general deep learning framework for network reconstruction and dynamics learning | Applied Network Science | 2019 | 36 |
| 18 | Quantitative analysis of cryptocurrencies transaction graph | Applied Network Science | 2019 | 35 |
| 19 | Graph-based data clustering via multiscale community detection | Applied Network Science | 2020 | 34 |
| 20 | Characterizing network dynamics of online hate communities around the COVID-19 pandemic | Applied Network Science | 2021 | 34 |
| 21 | Modeling and maximizing influence diffusion in social networks for viral marketing | Applied Network Science | 2018 | 33 |
| 22 | Manifold learning and maximum likelihood estimation for hyperbolic network embedding | Applied Network Science | 2016 | 31 |
| 23 | Countries’ positions in the international global value networks: Centrality and economic performance | Applied Network Science | 2017 | 31 |
| 24 | Annotated hypergraphs: models and applications | Applied Network Science | 2020 | 30 |
| 25 | Analyzing and inferring human real-life behavior through online social networks with social influence deep learning | Applied Network Science | 2019 | 29 |
| 26 | Stochastic block models with multiple continuous attributes | Applied Network Science | 2019 | 29 |
| 27 | Functional and transcriptional connectivity of communities in breast cancer co-expression networks | Applied Network Science | 2019 | 29 |
| 28 | Centrality and shortest path length measures for the functional analysis of urban drainage networks | Applied Network Science | 2020 | 29 |
| 29 | 5G device-to-device communication security and multipath routing solutions | Applied Network Science | 2019 | 28 |
| 30 | Toward epidemic thresholds on temporal networks: a review and open questions | Applied Network Science | 2019 | 28 |
| 31 | Statistical methods for constructing disease comorbidity networks from longitudinal inpatient data | Applied Network Science | 2018 | 27 |
| 32 | Topology, robustness, and structural controllability of the Brazilian Federal Police criminal intelligence network | Applied Network Science | 2018 | 27 |
| 33 | Hydraulically informed graph theoretic measure of link criticality for the resilience analysis of water distribution networks | Applied Network Science | 2018 | 27 |
| 34 | Weighted spectral clustering for water distribution network partitioning | Applied Network Science | 2017 | 26 |
| 35 | Concept networks of students’ knowledge of relationships between physics concepts: finding key concepts and their epistemic support | Applied Network Science | 2018 | 26 |
| 36 | Characterizing communities of hashtag usage on twitter during the 2020 COVID-19 pandemic by multi-view clustering | Applied Network Science | 2020 | 26 |
| 37 | Identifying and exploiting homogeneous communities in labeled networks | Applied Network Science | 2020 | 26 |
| 38 | Global dynamics of international migration systems across South–South, North–North, and North–South flows, 1990–2015 | Applied Network Science | 2021 | 26 |
| 39 | Disconnected, fragmented, or united? a trans-disciplinary review of network science | Applied Network Science | 2016 | 25 |
| 40 | Retweet networks of the European Parliament: evaluation of the community structure | Applied Network Science | 2016 | 25 |
| 41 | Fragility of a multilayer network of intranational supply chains | Applied Network Science | 2020 | 25 |
| 42 | Multiplex network motifs as building blocks of corporate networks | Applied Network Science | 2018 | 24 |
| 43 | Node embeddings in dynamic graphs | Applied Network Science | 2019 | 24 |
| 44 | Hypergraph clustering by iteratively reweighted modularity maximization | Applied Network Science | 2020 | 24 |
| 45 | Network model and analysis of the spread of Covid-19 with social distancing | Applied Network Science | 2020 | 24 |
| 46 | The orthographic similarity structure of English words: Insights from network science | Applied Network Science | 2018 | 23 |
| 47 | Understanding the growth of the Fediverse through the lens of Mastodon | Applied Network Science | 2021 | 23 |
| 48 | The configuration model for Barabasi-Albert networks | Applied Network Science | 2019 | 22 |
| 49 | Community structure based on circular flow in a large-scale transaction network | Applied Network Science | 2019 | 22 |
| 50 | Robustness and efficiency in interconnected networks with changes in network assortativity | Applied Network Science | 2017 | 21 |
