Defining and identifying communities in networks
Istituto Nazionale per la Fisica della Materia · Institute of Cognitive Sciences and Technologies
Abstract
The investigation of community structures in networks is an important issue in many domains and disciplines. This problem is relevant for social tasks (objective analysis of relationships on the web), biological inquiries (functional studies in metabolic and protein networks), or technological problems (optimization of large infrastructures). Several types of algorithms exist for revealing the community structure in networks, but a general and quantitative definition of community is not implemented in the algorithms, leading to an intrinsic difficulty in the interpretation of the results without any additional nontopological information. In this article we deal with this problem by showing how quantitative…
Citation impact
- FWCI
- 48.73
- Percentile
- 100%
- References
- 32
Authors
5- FRFilippo Radicchi
Istituto Nazionale per la Fisica della Materia, Institute of Cognitive Sciences and Technologies
- CCClaudio Castellano
Istituto Nazionale per la Fisica della Materia, Institute of Cognitive Sciences and Technologies
- FCFederico Cecconi
Istituto Nazionale per la Fisica della Materia, Institute of Cognitive Sciences and Technologies
- VLVittorio LoretoCorresponding
Istituto Nazionale per la Fisica della Materia, Institute of Cognitive Sciences and Technologies
- DPDomenico Parisi
Istituto Nazionale per la Fisica della Materia, Institute of Cognitive Sciences and Technologies
Topics & keywords
- Computer science
- Community structure
- Identification (biology)
- Complex network
- Data science
- Reliability (semiconductor)
- Biological network
- Interpretation (philosophy)
- Industry, innovation and infrastructure