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Found 12 papers, 6 papers with code
Milgram's experiment in the knowledge space: Individual navigation strategies
Data deluge characteristic for our times has led to information overload, posing a significant challenge to effectively finding our way through the digital landscape.
Initialisation and Topology Effects in Decentralised Federated Learning
Fully decentralised federated learning enables collaborative training of individual machine learning models on distributed devices on a network while keeping the training data localised.
Coordination-free Decentralised Federated Learning on Complex Networks: Overcoming Heterogeneity
Federated Learning (FL) is a well-known framework for successfully performing a learning task in an edge computing scenario where the devices involved have limited resources and incomplete data representation.
Estimating the loss of economic predictability from aggregating firm-level production networks
Using a nearly complete nationwide FPN, containing 243, 399 Hungarian firms with 1, 104, 141 supplier-buyer-relations we self-consistently compare production losses on the aggregated industry-level production network (IPN) and the granular FPN.
Interpreting wealth distribution via poverty map inference using multimodal data
Here, we propose a pipeline of machine learning models to infer the mean and standard deviation of wealth across multiple geographically clustered populated places, and illustrate their performance in Sierra Leone and Uganda.
Quantifying firm-level economic systemic risk from nation-wide supply networks
While knowing the impact of individual companies on national economies is a prerequisite for efficient risk management, the quantitative assessment of the involved economic systemic risks (ESR) is hitherto practically non-existent, mainly because of a lack of fine-grained data in combination with coherent methods.
Stability of Imbalanced Triangles in Gene Regulatory Networks of Cancerous and Normal Cells
Here we focus on a particular of motifs in the GRN, the triangles, which are imbalanced if the number of negative interactions are odd.
Attention dynamics on the Chinese social media Sina Weibo during the COVID-19 pandemic
We study the real-time Hot Search List (HSL), which provides the ranking of the most popular 50 hashtags based on the amount of Sina Weibo searches.
Physics and Society Social and Information Networks
Sampling networks by nodal attributes
Assuming that the nodal attributes are independently drawn from an arbitrary distribution $\rho(h)$ and that the sampling probability $r(h_i , h_j)$ for a link $ij$ of nodal attributes $h_i$ and $h_j$ is also arbitrary, we are able to derive exact analytic expressions of the sampled network for such network characteristics as the degree distribution, degree correlation, and clustering spectrum.
Physics and Society Social and Information Networks
What does Big Data tell? Sampling the social network by communication channels
For example, while it is expected that the degree distribution of the whole social network has a maximum at a value larger than one, we get a monotonously decreasing distribution as observed in empirical studies of single channel data.
Physics and Society Social and Information Networks
The most controversial topics in Wikipedia: A multilingual and geographical analysis
We present, visualize and analyse the similarities and differences between the controversial topics related to "edit wars" identified in 10 different language versions of Wikipedia.
Edit wars in Wikipedia
We present a new, efficient method for automatically detecting severe conflicts `edit wars' in Wikipedia and evaluate this method on six different language WPs.
