| Nome |
# |
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Mapping social dynamics on Facebook: The Brexit debate, file e4239ddd-fa28-7180-e053-3705fe0a3322
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1.201
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Anatomy of news consumption on Facebook, file e4239ddc-35e9-7180-e053-3705fe0a3322
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541
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Network Analysis of Gut Microbiome and Metabolome to Discover Microbiota-Linked Biomarkers in Patients Affected by Non-Small Cell Lung Cancer, file e4239ddd-f52a-7180-e053-3705fe0a3322
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356
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The role of bot squads in the political propaganda on Twitter, file e4239ddd-b044-7180-e053-3705fe0a3322
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247
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Organization and hierarchy of the human functional brain network lead to a chain-like core, file e4239ddd-b714-7180-e053-3705fe0a3322
|
210
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Credit default swaps networks and systemic risk, file e4239ddd-b859-7180-e053-3705fe0a3322
|
206
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The effects of twitter sentiment on stock price returns, file e4239ddd-b161-7180-e053-3705fe0a3322
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201
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A Network Analysis of Countries' Export Flows: Firm Grounds for the Building Blocks of the Economy, file e4239ddd-b1ce-7180-e053-3705fe0a3322
|
200
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Entropy-based approach to missing-links prediction, file e4239ddd-b153-7180-e053-3705fe0a3322
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198
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Blockchain inefficiency in the Bitcoin peers network, file e4239ddd-b7b9-7180-e053-3705fe0a3322
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198
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(So) Big Data and the transformation of the city, file e4239ddd-b0f9-7180-e053-3705fe0a3322
|
196
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Default cascades in complex networks: Topology and systemic risk, file e4239ddd-bbd8-7180-e053-3705fe0a3322
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194
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Inferring monopartite projections of bipartite networks: An entropy-based approach, file e4239ddd-b116-7180-e053-3705fe0a3322
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193
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The network of plants volatile organic compounds, file e4239ddd-b159-7180-e053-3705fe0a3322
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192
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The price of complexity in financial networks, file e4239ddd-f523-7180-e053-3705fe0a3322
|
192
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Low-temperature behaviour of social and economic networks, file e4239ddd-b85d-7180-e053-3705fe0a3322
|
189
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Extracting significant signal of news consumption from social networks: the case of Twitter in Italian political elections, file e4239ddd-bce3-7180-e053-3705fe0a3322
|
187
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Bayesian Networks Analysis of Malocclusion Data, file e4239ddd-b0ee-7180-e053-3705fe0a3322
|
185
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Concurrent enhancement of percolation and synchronization in adaptive networks, file e4239ddd-b6bd-7180-e053-3705fe0a3322
|
183
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Exploiting the interplay between cross-sectional and longitudinal data in Class III malocclusion patients, file e4239ddd-b7b3-7180-e053-3705fe0a3322
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183
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A new metrics for countries' fitness and products' complexity, file e4239ddd-b1cc-7180-e053-3705fe0a3322
|
181
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Coupling news sentiment with web browsing data improves prediction of intra-day price dynamics, file e4239ddd-b7af-7180-e053-3705fe0a3322
|
180
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True scale-free networks hidden by finite size effects, file e4239dde-0ee3-7180-e053-3705fe0a3322
|
179
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Green power grids: How energy from renewable sources affects networks and markets, file e4239ddd-b0e5-7180-e053-3705fe0a3322
|
177
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The multilayer structure of corporate networks, file e4239ddd-b755-7180-e053-3705fe0a3322
|
173
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Complex networks for data-driven medicine: The case of Class III dentoskeletal disharmony, file e4239ddd-b857-7180-e053-3705fe0a3322
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173
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The rise of China in the international trade network: A community core detection approach, file e4239ddd-b7bb-7180-e053-3705fe0a3322
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172
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Optimal positioning of storage systems in microgrids based on complex networks centrality measures, file e4239ddd-bce1-7180-e053-3705fe0a3322
|
172
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Twitter-based analysis of the dynamics of collective attention to political parties, file e4239ddd-bb82-7180-e053-3705fe0a3322
|
170
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Islanding the power grid on the transmission level: Less connections for more security, file e4239ddd-b0a1-7180-e053-3705fe0a3322
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169
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Distress propagation in complex networks: The case of non-linear DebtRank, file e4239ddd-b340-7180-e053-3705fe0a3322
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169
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Pathways towards instability in financial networks, file e4239ddd-b712-7180-e053-3705fe0a3322
|
169
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DebtRank: Too central to fail? Financial networks, the FED and systemic risk, file e4239ddd-b7c4-7180-e053-3705fe0a3322
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169
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Quantifying randomness in real networks, file e4239ddd-b979-7180-e053-3705fe0a3322
|
169
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Networks of plants: How to measure similarity in vegetable species, file e4239ddd-b15c-7180-e053-3705fe0a3322
|
167
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Systemic risk from investment similarities, file e4239ddd-b07d-7180-e053-3705fe0a3322
|
165
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DebtRank: A microscopic foundation for shock propagation, file e4239ddd-bb84-7180-e053-3705fe0a3322
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164
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A Complex Network Approach for the Estimation of the Energy Demand of Electric Mobility, file e4239ddd-afe3-7180-e053-3705fe0a3322
|
161
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Evolution of controllability in interbank networks, file e4239ddd-b030-7180-e053-3705fe0a3322
|
160
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Web search queries can predict stock market volumes, file e4239ddd-b1d0-7180-e053-3705fe0a3322
|
159
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Critical field-exponents for secure message-passing in modular networks, file e4239ddd-b036-7180-e053-3705fe0a3322
|
156
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Reconstructing Mesoscale Network Structures, file e4239ddd-b0f6-7180-e053-3705fe0a3322
|
156
|
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SARS-COV-2 comorbidity network and outcome in hospitalized patients in Crema, Italy, file e4239dde-387d-7180-e053-3705fe0a3322
|
155
|
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Measuring the Intangibles: A Metrics for the Economic Complexity of Countries and Products, file e4239ddd-b166-7180-e053-3705fe0a3322
|
153
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Using Networks To Understand Medical Data: The Case of Class III Malocclusions, file e4239ddd-b7c1-7180-e053-3705fe0a3322
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149
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A Multi-Level Geographical Study of Italian Political Elections from Twitter Data, file e4239ddd-ba2b-7180-e053-3705fe0a3322
|
143
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Flow of online misinformation during the peak of the COVID-19 pandemic in Italy, file e4239dde-4765-7180-e053-3705fe0a3322
|
142
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A Perspective on Complexity and Networks Science, file e4239ddd-b034-7180-e053-3705fe0a3322
|
138
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Firms' challenges and social responsibilities during Covid-19: A Twitter analysis, file e4239dde-4a6e-7180-e053-3705fe0a3322
|
122
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The ambiguity of nestedness under soft and hard constraints, file e4239ddd-f52c-7180-e053-3705fe0a3322
|
102
|
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Italian Twitter semantic network during the Covid-19 epidemic, file e4239dde-7c23-7180-e053-3705fe0a3322
|
102
|
|
Network valuation in financial systems, file e4239ddd-f16d-7180-e053-3705fe0a3322
|
92
|
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Why polls fail to predict elections, file e4239dde-7d8c-7180-e053-3705fe0a3322
|
85
|
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Portfolio diversification, differentiation and the robustness of holdings networks, file e4239ddd-fa11-7180-e053-3705fe0a3322
|
76
|
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The Urban Metabolism of Lima: Perspectives and Policy Indications for GHG Emission Reductions, file e4239dde-1230-7180-e053-3705fe0a3322
|
72
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The unbalanced reorganization of weaker functional connections induces the altered brain network topology in schizophrenia, file e4239dde-4f39-7180-e053-3705fe0a3322
|
57
|
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Laplacian renormalization group for heterogeneous networks, file d4605380-1f0c-482a-82dc-9ccb5f73082b
|
25
|
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Detecting mesoscale structures by surprise, file e4239dde-a6f8-7180-e053-3705fe0a3322
|
21
|
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Systemic liquidity contagion in the European interbank market, file e4239dde-9bd6-7180-e053-3705fe0a3322
|
15
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Viewpoint: The Longevity of Rankings, file e4239ddd-b187-7180-e053-3705fe0a3322
|
14
|
|
The Validity of Machine Learning Procedures in Orthodontics: What Is Still Missing?, file d04c7bb3-4358-4811-b1ee-0a437e2f5588
|
13
|
|
Automatic classification of signal regions in 1H Nuclear Magnetic Resonance spectra, file a0d7c327-0d01-498d-938d-a2f0ea5d538d
|
12
|
|
Bow-tie structures of twitter discursive communities, file 3e13dd65-a0f7-439b-bff3-58b346e757a1
|
9
|
|
Laplacian paths in complex networks: Information core emerges from entropic transitions, file 9815c087-3336-4ed7-ba91-9d252d2aa10c
|
9
|
|
Echo Chambers: Emotional Contagion and Group Polarization on Facebook, file e4239ddc-2c1e-7180-e053-3705fe0a3322
|
2
|
|
Cold and warm swelling of hydrophobic polymers, file e4239ddd-b78c-7180-e053-3705fe0a3322
|
2
|
|
Mapping social dynamics on Facebook: The Brexit debate, file e4239dde-0ae7-7180-e053-3705fe0a3322
|
2
|
|
Putting proteins back into water, file e4239ddd-b0e2-7180-e053-3705fe0a3322
|
1
|
|
Widespread occurrence of the inverse square distribution in social sciences and taxonomy, file e4239ddd-b77d-7180-e053-3705fe0a3322
|
1
|
| Totale |
10.876 |