dorsal/arxiv
View SchemaModeling Interactome: Scale-Free or Geometric?
| Authors | Natasa Przulj, Derek G. Corneil, Igor Jurisica |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0404017 |
| URL | https://arxiv.org/abs/q-bio/0404017 |
Abstract
Networks have been used to model many real-world phenomena to better understand the phenomena and to guide experiments in order to predict their behavior. Since incorrect models lead to incorrect predictions, it is vital to have a correct model. As a result, new techniques and models for analyzing and modeling real-world networks have recently been introduced. One example of large and complex networks involves protein-protein interaction (PPI) networks. We demonstrate that the currently popular scale-free model of PPI networks fails to fit the data in several respects. We show that a random geometric model provides a much more accurate model of the PPI data.
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"date_created": "2026-03-02T18:01:31.673000Z",
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"abstract": "Networks have been used to model many real-world phenomena to better\nunderstand the phenomena and to guide experiments in order to predict their\nbehavior. Since incorrect models lead to incorrect predictions, it is vital to\nhave a correct model. As a result, new techniques and models for analyzing and\nmodeling real-world networks have recently been introduced. One example of\nlarge and complex networks involves protein-protein interaction (PPI) networks.\nWe demonstrate that the currently popular scale-free model of PPI networks\nfails to fit the data in several respects. We show that a random geometric\nmodel provides a much more accurate model of the PPI data.",
"arxiv_id": "q-bio/0404017",
"authors": [
"Natasa Przulj",
"Derek G. Corneil",
"Igor Jurisica"
],
"categories": [
"q-bio.MN"
],
"title": "Modeling Interactome: Scale-Free or Geometric?",
"url": "https://arxiv.org/abs/q-bio/0404017"
},
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"type": "Model",
"variant": "snapshot-2026-03-01",
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