ArticleScientific reports2015
Community Detection in Signed Networks: the Role of Negative ties in Different Scales.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- A Network Analysis of Inner Strength Among University Students with Borderline Personality Disorder Symptoms.European journal of investigation in health, psychology and education · 2026Article
- Attack and defense networks in a student social system.PloS one · 2026Article
- The signed two-space proximity model for learning representations in protein-protein interaction networks.Bioinformatics (Oxford, England) · 2025Article
- Unpacking polarization: Antagonism and alignment in signed networks of online interaction.PNAS nexus · 2024Article
- A longitudinal single-cell atlas of anti-tumour necrosis factor treatment in inflammatory bowel disease.Nature immunology · 2024Article
- Synergistic epistasis among cancer drivers can rescue early tumors from the accumulation of deleterious passengers.PLoS computational biology · 2024Article
- From populations to networks: Relating diversity indices and frustration in signed graphs.PNAS nexus · 2024Article
- Attention based dynamic graph neural network for asset pricing.Global finance journal · 2023Article
- Modularity, balance, and frustration in student social networks: The role of negative relationships in communities.PloS one · 2022Article
- Listening in on Multicellular Communication in Human Tissue Immunology.Frontiers in immunology · 2022Article
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- Network Analysis of Outpatients to Identify Predictive Symptoms and Combinations of Symptoms Associated With Positive/Negative SARS-CoV-2 Nasopharyngeal Swabs.Frontiers in medicine · 2021Article
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- Towards systemic and contextual priority setting for implementing the 2030 Agenda.Sustainability science · 2018Article
- Detecting phenotype-driven transitions in regulatory network structure.NPJ systems biology and applications · 2018Article
- An algorithm based on positive and negative links for community detection in signed networks.Scientific reports · 2017Article
- Link prediction in multiplex online social networks.Royal Society open science · 2017Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extracting community structure of complex network systems has many applications from engineering to biology and social sciences. There exist many algorithms to discover community structure of networks. However, it has been significantly under-explored for networks with positive and negative links as compared to unsigned ones. Trying to fill this gap, we measured the quality of partitions by introducing a Map Equation for signed networks. It is based on the assumption that negative relations weaken positive flow from a node towards a community, and thus, external (internal) negative ties increase the probability of staying inside (escaping from) a community. We further extended the Constant Potts Model, providing a map spectrum for signed networks. Accordingly, a partition is selected through balancing between abridgment and expatiation of a signed network. Most importantly, multi-scale spectrum of signed networks revealed how informative are negative ties in different scales, and quantified the topological placement of negative ties between dense positive ones. Moreover, an inconsistency was found in the signed Modularity: as the number of negative ties increases, the density of positive ties is neglected more. These results shed lights on the community structure of signed networks.
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