Interdependent Networks: A Data Science Perspective Article Swipe
M. Hadi Amini
,
Ahmed Imteaj
,
Pãnos M. Pardalos
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.patter.2020.100003
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.patter.2020.100003
Traditionally, networks have been studied in an independent fashion. With the emergence of novel smart city technologies, coupling among networks has been strengthened. To capture the ever-increasing coupling, we explain the notion of interdependent networks, i.e., multi-layered networks with shared decision-making entities, and shared sensing infrastructures with interdisciplinary applications. The main challenge is how to develop data analytics solutions that are capable of enabling interdependent decision making. One of the emerging solutions is agent-based distributed decision making among heterogeneous agents and entities when their decisions are affected by multiple networks. We first provide a big picture of real-world interdependent networks in the context of smart city infrastructures. We then provide an outline of potential challenges and solutions from a data science perspective. We discuss potential hindrances to ensure reliable communication among intelligent agents from different networks. We explore future research directions at the intersection of network science and data science.
Related Topics
Concepts
Interdependence
Perspective (graphical)
Computer science
Data science
Intersection (aeronautics)
Context (archaeology)
Big data
Network science
Interdependent networks
Management science
Knowledge management
Complex network
Artificial intelligence
Engineering
Data mining
Sociology
World Wide Web
Biology
Social science
Paleontology
Aerospace engineering
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.patter.2020.100003
- https://www.cell.com/patterns/pdf/S2666-3899(20)30003-9.pdf
- OA Status
- gold
- Cited By
- 20
- References
- 78
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3011364585
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3011364585Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.patter.2020.100003Digital Object Identifier
- Title
-
Interdependent Networks: A Data Science PerspectiveWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-03-20Full publication date if available
- Authors
-
M. Hadi Amini, Ahmed Imteaj, Pãnos M. PardalosList of authors in order
- Landing page
-
https://doi.org/10.1016/j.patter.2020.100003Publisher landing page
- PDF URL
-
https://www.cell.com/patterns/pdf/S2666-3899(20)30003-9.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.cell.com/patterns/pdf/S2666-3899(20)30003-9.pdfDirect OA link when available
- Concepts
-
Interdependence, Perspective (graphical), Computer science, Data science, Intersection (aeronautics), Context (archaeology), Big data, Network science, Interdependent networks, Management science, Knowledge management, Complex network, Artificial intelligence, Engineering, Data mining, Sociology, World Wide Web, Biology, Social science, Paleontology, Aerospace engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
20Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 6, 2024: 2, 2023: 3, 2021: 9Per-year citation counts (last 5 years)
- References (count)
-
78Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3011364585 |
|---|---|
| doi | https://doi.org/10.1016/j.patter.2020.100003 |
| ids.doi | https://doi.org/10.1016/j.patter.2020.100003 |
| ids.mag | 3011364585 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/33205080 |
| ids.openalex | https://openalex.org/W3011364585 |
| fwci | 1.63356576 |
| type | review |
| title | Interdependent Networks: A Data Science Perspective |
| biblio.issue | 1 |
| biblio.volume | 1 |
| biblio.last_page | 100003 |
| biblio.first_page | 100003 |
| topics[0].id | https://openalex.org/T10064 |
| topics[0].field.id | https://openalex.org/fields/31 |
| topics[0].field.display_name | Physics and Astronomy |
| topics[0].score | 0.9987000226974487 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3109 |
| topics[0].subfield.display_name | Statistical and Nonlinear Physics |
| topics[0].display_name | Complex Network Analysis Techniques |
| topics[1].id | https://openalex.org/T10799 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9697999954223633 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1707 |
| topics[1].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[1].display_name | Data Visualization and Analytics |
| topics[2].id | https://openalex.org/T10270 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9661999940872192 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1710 |
| topics[2].subfield.display_name | Information Systems |
| topics[2].display_name | Blockchain Technology Applications and Security |
| funders[0].id | https://openalex.org/F4320309993 |
| funders[0].ror | https://ror.org/02gz6gg07 |
| funders[0].display_name | Florida International University |
| is_xpac | False |
| apc_list.value | 5200 |
| apc_list.currency | USD |
| apc_list.value_usd | 5200 |
| apc_paid.value | 5200 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 5200 |
| concepts[0].id | https://openalex.org/C185874996 |
| concepts[0].level | 2 |
| concepts[0].score | 0.9140247106552124 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q269699 |
| concepts[0].display_name | Interdependence |
| concepts[1].id | https://openalex.org/C12713177 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6801636815071106 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1900281 |
| concepts[1].display_name | Perspective (graphical) |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.665371298789978 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C2522767166 |
| concepts[3].level | 1 |
| concepts[3].score | 0.6186640858650208 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[3].display_name | Data science |
| concepts[4].id | https://openalex.org/C64543145 |
| concepts[4].level | 2 |
| concepts[4].score | 0.6069956421852112 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q162942 |
| concepts[4].display_name | Intersection (aeronautics) |
| concepts[5].id | https://openalex.org/C2779343474 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5965520143508911 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q3109175 |
| concepts[5].display_name | Context (archaeology) |
| concepts[6].id | https://openalex.org/C75684735 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5761577486991882 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q858810 |
| concepts[6].display_name | Big data |
| concepts[7].id | https://openalex.org/C137753397 |
| concepts[7].level | 3 |
| concepts[7].score | 0.5542516112327576 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q2434424 |
| concepts[7].display_name | Network science |
| concepts[8].id | https://openalex.org/C101142422 |
| concepts[8].level | 3 |
| concepts[8].score | 0.5530060529708862 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q17101727 |
| concepts[8].display_name | Interdependent networks |
| concepts[9].id | https://openalex.org/C539667460 |
| concepts[9].level | 1 |
| concepts[9].score | 0.3334220349788666 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q2414942 |
| concepts[9].display_name | Management science |
| concepts[10].id | https://openalex.org/C56739046 |
| concepts[10].level | 1 |
| concepts[10].score | 0.32172176241874695 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q192060 |
| concepts[10].display_name | Knowledge management |
| concepts[11].id | https://openalex.org/C34947359 |
| concepts[11].level | 2 |
| concepts[11].score | 0.26477402448654175 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q665189 |
| concepts[11].display_name | Complex network |
| concepts[12].id | https://openalex.org/C154945302 |
| concepts[12].level | 1 |
| concepts[12].score | 0.1943041980266571 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[12].display_name | Artificial intelligence |
| concepts[13].id | https://openalex.org/C127413603 |
| concepts[13].level | 0 |
| concepts[13].score | 0.14469149708747864 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[13].display_name | Engineering |
| concepts[14].id | https://openalex.org/C124101348 |
| concepts[14].level | 1 |
| concepts[14].score | 0.13843992352485657 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[14].display_name | Data mining |
| concepts[15].id | https://openalex.org/C144024400 |
| concepts[15].level | 0 |
| concepts[15].score | 0.12473955750465393 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q21201 |
| concepts[15].display_name | Sociology |
| concepts[16].id | https://openalex.org/C136764020 |
| concepts[16].level | 1 |
| concepts[16].score | 0.10755354166030884 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q466 |
| concepts[16].display_name | World Wide Web |
| concepts[17].id | https://openalex.org/C86803240 |
| concepts[17].level | 0 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[17].display_name | Biology |
| concepts[18].id | https://openalex.org/C36289849 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q34749 |
| concepts[18].display_name | Social science |
| concepts[19].id | https://openalex.org/C151730666 |
| concepts[19].level | 1 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q7205 |
| concepts[19].display_name | Paleontology |
| concepts[20].id | https://openalex.org/C146978453 |
| concepts[20].level | 1 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q3798668 |
| concepts[20].display_name | Aerospace engineering |
| keywords[0].id | https://openalex.org/keywords/interdependence |
| keywords[0].score | 0.9140247106552124 |
| keywords[0].display_name | Interdependence |
| keywords[1].id | https://openalex.org/keywords/perspective |
| keywords[1].score | 0.6801636815071106 |
| keywords[1].display_name | Perspective (graphical) |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.665371298789978 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/data-science |
| keywords[3].score | 0.6186640858650208 |
| keywords[3].display_name | Data science |
| keywords[4].id | https://openalex.org/keywords/intersection |
| keywords[4].score | 0.6069956421852112 |
| keywords[4].display_name | Intersection (aeronautics) |
| keywords[5].id | https://openalex.org/keywords/context |
| keywords[5].score | 0.5965520143508911 |
| keywords[5].display_name | Context (archaeology) |
| keywords[6].id | https://openalex.org/keywords/big-data |
| keywords[6].score | 0.5761577486991882 |
| keywords[6].display_name | Big data |
| keywords[7].id | https://openalex.org/keywords/network-science |
| keywords[7].score | 0.5542516112327576 |
| keywords[7].display_name | Network science |
| keywords[8].id | https://openalex.org/keywords/interdependent-networks |
| keywords[8].score | 0.5530060529708862 |
| keywords[8].display_name | Interdependent networks |
| keywords[9].id | https://openalex.org/keywords/management-science |
| keywords[9].score | 0.3334220349788666 |
| keywords[9].display_name | Management science |
| keywords[10].id | https://openalex.org/keywords/knowledge-management |
| keywords[10].score | 0.32172176241874695 |
| keywords[10].display_name | Knowledge management |
| keywords[11].id | https://openalex.org/keywords/complex-network |
| keywords[11].score | 0.26477402448654175 |
| keywords[11].display_name | Complex network |
| keywords[12].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[12].score | 0.1943041980266571 |
| keywords[12].display_name | Artificial intelligence |
| keywords[13].id | https://openalex.org/keywords/engineering |
| keywords[13].score | 0.14469149708747864 |
| keywords[13].display_name | Engineering |
| keywords[14].id | https://openalex.org/keywords/data-mining |
| keywords[14].score | 0.13843992352485657 |
| keywords[14].display_name | Data mining |
| keywords[15].id | https://openalex.org/keywords/sociology |
| keywords[15].score | 0.12473955750465393 |
| keywords[15].display_name | Sociology |
| keywords[16].id | https://openalex.org/keywords/world-wide-web |
| keywords[16].score | 0.10755354166030884 |
| keywords[16].display_name | World Wide Web |
| language | en |
| locations[0].id | doi:10.1016/j.patter.2020.100003 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210198061 |
| locations[0].source.issn | 2666-3899 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2666-3899 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Patterns |
| locations[0].source.host_organization | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_name | Elsevier BV |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_lineage_names | Elsevier BV |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.cell.com/patterns/pdf/S2666-3899(20)30003-9.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Patterns |
| locations[0].landing_page_url | https://doi.org/10.1016/j.patter.2020.100003 |
| locations[1].id | pmid:33205080 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Patterns (New York, N.Y.) |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/33205080 |
| locations[2].id | pmh:oai:doaj.org/article:d475038e4a3647dcaf620b1200b9e670 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | cc-by-sa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Patterns, Vol 1, Iss 1, Pp 100003- (2020) |
| locations[2].landing_page_url | https://doaj.org/article/d475038e4a3647dcaf620b1200b9e670 |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:7660435 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S2764455111 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | PubMed Central |
| locations[3].source.host_organization | https://openalex.org/I1299303238 |
| locations[3].source.host_organization_name | National Institutes of Health |
| locations[3].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[3].license | cc-by |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/cc-by |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Patterns (N Y) |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/7660435 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5032642808 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-2768-3601 |
| authorships[0].author.display_name | M. Hadi Amini |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I19700959 |
| authorships[0].affiliations[0].raw_affiliation_string | Sustainability, Optimization, and Learning for InterDependent Networks Laboratory (Solid Lab), Florida International University, Miami, FL 33199, USA |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I19700959 |
| authorships[0].affiliations[1].raw_affiliation_string | School of Computing and Information Sciences, Florida International University, Miami, FL 33199, USA |
| authorships[0].institutions[0].id | https://openalex.org/I19700959 |
| authorships[0].institutions[0].ror | https://ror.org/02gz6gg07 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I19700959 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Florida International University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | M. Hadi Amini |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | School of Computing and Information Sciences, Florida International University, Miami, FL 33199, USA, Sustainability, Optimization, and Learning for InterDependent Networks Laboratory (Solid Lab), Florida International University, Miami, FL 33199, USA |
| authorships[1].author.id | https://openalex.org/A5077711449 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-6975-3997 |
| authorships[1].author.display_name | Ahmed Imteaj |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I19700959 |
| authorships[1].affiliations[0].raw_affiliation_string | Sustainability, Optimization, and Learning for InterDependent Networks Laboratory (Solid Lab), Florida International University, Miami, FL 33199, USA |
| authorships[1].affiliations[1].institution_ids | https://openalex.org/I19700959 |
| authorships[1].affiliations[1].raw_affiliation_string | School of Computing and Information Sciences, Florida International University, Miami, FL 33199, USA |
| authorships[1].institutions[0].id | https://openalex.org/I19700959 |
| authorships[1].institutions[0].ror | https://ror.org/02gz6gg07 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I19700959 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Florida International University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Ahmed Imteaj |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | School of Computing and Information Sciences, Florida International University, Miami, FL 33199, USA, Sustainability, Optimization, and Learning for InterDependent Networks Laboratory (Solid Lab), Florida International University, Miami, FL 33199, USA |
| authorships[2].author.id | https://openalex.org/A5050062467 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-9623-8053 |
| authorships[2].author.display_name | Pãnos M. Pardalos |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I33213144 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL 32611, USA |
| authorships[2].institutions[0].id | https://openalex.org/I33213144 |
| authorships[2].institutions[0].ror | https://ror.org/02y3ad647 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I33213144 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | University of Florida |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Panos M. Pardalos |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL 32611, USA |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.cell.com/patterns/pdf/S2666-3899(20)30003-9.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Interdependent Networks: A Data Science Perspective |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10064 |
| primary_topic.field.id | https://openalex.org/fields/31 |
| primary_topic.field.display_name | Physics and Astronomy |
| primary_topic.score | 0.9987000226974487 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3109 |
| primary_topic.subfield.display_name | Statistical and Nonlinear Physics |
| primary_topic.display_name | Complex Network Analysis Techniques |
| related_works | https://openalex.org/W1966811395, https://openalex.org/W3105388512, https://openalex.org/W4236757589, https://openalex.org/W3162545461, https://openalex.org/W3015073397, https://openalex.org/W3081015121, https://openalex.org/W1993285489, https://openalex.org/W2463781450, https://openalex.org/W2968294638, https://openalex.org/W2791240406 |
| cited_by_count | 20 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 6 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 2 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 3 |
| counts_by_year[3].year | 2021 |
| counts_by_year[3].cited_by_count | 9 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1016/j.patter.2020.100003 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210198061 |
| best_oa_location.source.issn | 2666-3899 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2666-3899 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Patterns |
| best_oa_location.source.host_organization | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_name | Elsevier BV |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_lineage_names | Elsevier BV |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.cell.com/patterns/pdf/S2666-3899(20)30003-9.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Patterns |
| best_oa_location.landing_page_url | https://doi.org/10.1016/j.patter.2020.100003 |
| primary_location.id | doi:10.1016/j.patter.2020.100003 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210198061 |
| primary_location.source.issn | 2666-3899 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2666-3899 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Patterns |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_lineage_names | Elsevier BV |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.cell.com/patterns/pdf/S2666-3899(20)30003-9.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Patterns |
| primary_location.landing_page_url | https://doi.org/10.1016/j.patter.2020.100003 |
| publication_date | 2020-03-20 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W6757045954, https://openalex.org/W2806997610, https://openalex.org/W2569951966, https://openalex.org/W2158680676, https://openalex.org/W2986607214, https://openalex.org/W2124637492, https://openalex.org/W2018318414, https://openalex.org/W2125209314, https://openalex.org/W2025763088, https://openalex.org/W2549532532, https://openalex.org/W2074617510, https://openalex.org/W1537892751, https://openalex.org/W6754711283, https://openalex.org/W2737180341, https://openalex.org/W2336193318, https://openalex.org/W1128809682, https://openalex.org/W1911924348, https://openalex.org/W1969743373, https://openalex.org/W1965499304, https://openalex.org/W1968164782, https://openalex.org/W7057073859, https://openalex.org/W6697137604, https://openalex.org/W2807746307, https://openalex.org/W2963704628, https://openalex.org/W1977878271, https://openalex.org/W2084545547, https://openalex.org/W2883905300, https://openalex.org/W2075722849, https://openalex.org/W2077093965, https://openalex.org/W2000052898, https://openalex.org/W2971666762, https://openalex.org/W6754644909, https://openalex.org/W6752677139, https://openalex.org/W6757359286, https://openalex.org/W2767423272, https://openalex.org/W2074513827, https://openalex.org/W2082361024, https://openalex.org/W2168160871, https://openalex.org/W2805130487, https://openalex.org/W2972266205, https://openalex.org/W6761191841, https://openalex.org/W6762902237, https://openalex.org/W6738571232, https://openalex.org/W2103863878, https://openalex.org/W6638920519, https://openalex.org/W2502133059, https://openalex.org/W2035119419, https://openalex.org/W6756783636, https://openalex.org/W2572272351, https://openalex.org/W6770194142, https://openalex.org/W2537462589, https://openalex.org/W2923222014, https://openalex.org/W2531399364, https://openalex.org/W2962813666, https://openalex.org/W2904867740, https://openalex.org/W4245485550, https://openalex.org/W2293453852, https://openalex.org/W2903800397, https://openalex.org/W3125352532, https://openalex.org/W2620636316, https://openalex.org/W4231592819, https://openalex.org/W3101642834, https://openalex.org/W4232775382, https://openalex.org/W2945384799, https://openalex.org/W2972964212, https://openalex.org/W2809249143, https://openalex.org/W1851144268, https://openalex.org/W4240384742, https://openalex.org/W2889466153, https://openalex.org/W4241016410, https://openalex.org/W2941493901, https://openalex.org/W893234787, https://openalex.org/W2025250730, https://openalex.org/W2911824049, https://openalex.org/W2904614073, https://openalex.org/W2914643958, https://openalex.org/W2989769119, https://openalex.org/W2762929235 |
| referenced_works_count | 78 |
| abstract_inverted_index.a | 93, 118 |
| abstract_inverted_index.To | 23 |
| abstract_inverted_index.We | 90, 107, 122, 136 |
| abstract_inverted_index.an | 6, 110 |
| abstract_inverted_index.at | 141 |
| abstract_inverted_index.by | 87 |
| abstract_inverted_index.in | 5, 100 |
| abstract_inverted_index.is | 52, 72 |
| abstract_inverted_index.of | 12, 32, 62, 68, 96, 103, 112, 144 |
| abstract_inverted_index.to | 54, 126 |
| abstract_inverted_index.we | 28 |
| abstract_inverted_index.One | 67 |
| abstract_inverted_index.The | 49 |
| abstract_inverted_index.and | 42, 80, 115, 147 |
| abstract_inverted_index.are | 60, 85 |
| abstract_inverted_index.big | 94 |
| abstract_inverted_index.has | 20 |
| abstract_inverted_index.how | 53 |
| abstract_inverted_index.the | 10, 25, 30, 69, 101, 142 |
| abstract_inverted_index.With | 9 |
| abstract_inverted_index.been | 3, 21 |
| abstract_inverted_index.city | 15, 105 |
| abstract_inverted_index.data | 56, 119, 148 |
| abstract_inverted_index.from | 117, 133 |
| abstract_inverted_index.have | 2 |
| abstract_inverted_index.main | 50 |
| abstract_inverted_index.that | 59 |
| abstract_inverted_index.then | 108 |
| abstract_inverted_index.when | 82 |
| abstract_inverted_index.with | 38, 46 |
| abstract_inverted_index.among | 18, 77, 130 |
| abstract_inverted_index.first | 91 |
| abstract_inverted_index.i.e., | 35 |
| abstract_inverted_index.novel | 13 |
| abstract_inverted_index.smart | 14, 104 |
| abstract_inverted_index.their | 83 |
| abstract_inverted_index.agents | 79, 132 |
| abstract_inverted_index.ensure | 127 |
| abstract_inverted_index.future | 138 |
| abstract_inverted_index.making | 76 |
| abstract_inverted_index.notion | 31 |
| abstract_inverted_index.shared | 39, 43 |
| abstract_inverted_index.capable | 61 |
| abstract_inverted_index.capture | 24 |
| abstract_inverted_index.context | 102 |
| abstract_inverted_index.develop | 55 |
| abstract_inverted_index.discuss | 123 |
| abstract_inverted_index.explain | 29 |
| abstract_inverted_index.explore | 137 |
| abstract_inverted_index.making. | 66 |
| abstract_inverted_index.network | 145 |
| abstract_inverted_index.outline | 111 |
| abstract_inverted_index.picture | 95 |
| abstract_inverted_index.provide | 92, 109 |
| abstract_inverted_index.science | 120, 146 |
| abstract_inverted_index.sensing | 44 |
| abstract_inverted_index.studied | 4 |
| abstract_inverted_index.affected | 86 |
| abstract_inverted_index.coupling | 17 |
| abstract_inverted_index.decision | 65, 75 |
| abstract_inverted_index.emerging | 70 |
| abstract_inverted_index.enabling | 63 |
| abstract_inverted_index.entities | 81 |
| abstract_inverted_index.fashion. | 8 |
| abstract_inverted_index.multiple | 88 |
| abstract_inverted_index.networks | 1, 19, 37, 99 |
| abstract_inverted_index.reliable | 128 |
| abstract_inverted_index.research | 139 |
| abstract_inverted_index.science. | 149 |
| abstract_inverted_index.analytics | 57 |
| abstract_inverted_index.challenge | 51 |
| abstract_inverted_index.coupling, | 27 |
| abstract_inverted_index.decisions | 84 |
| abstract_inverted_index.different | 134 |
| abstract_inverted_index.emergence | 11 |
| abstract_inverted_index.entities, | 41 |
| abstract_inverted_index.networks, | 34 |
| abstract_inverted_index.networks. | 89, 135 |
| abstract_inverted_index.potential | 113, 124 |
| abstract_inverted_index.solutions | 58, 71, 116 |
| abstract_inverted_index.challenges | 114 |
| abstract_inverted_index.directions | 140 |
| abstract_inverted_index.hindrances | 125 |
| abstract_inverted_index.real-world | 97 |
| abstract_inverted_index.agent-based | 73 |
| abstract_inverted_index.distributed | 74 |
| abstract_inverted_index.independent | 7 |
| abstract_inverted_index.intelligent | 131 |
| abstract_inverted_index.intersection | 143 |
| abstract_inverted_index.perspective. | 121 |
| abstract_inverted_index.applications. | 48 |
| abstract_inverted_index.communication | 129 |
| abstract_inverted_index.heterogeneous | 78 |
| abstract_inverted_index.multi-layered | 36 |
| abstract_inverted_index.strengthened. | 22 |
| abstract_inverted_index.technologies, | 16 |
| abstract_inverted_index.Traditionally, | 0 |
| abstract_inverted_index.interdependent | 33, 64, 98 |
| abstract_inverted_index.decision-making | 40 |
| abstract_inverted_index.ever-increasing | 26 |
| abstract_inverted_index.infrastructures | 45 |
| abstract_inverted_index.infrastructures. | 106 |
| abstract_inverted_index.interdisciplinary | 47 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5032642808 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I19700959 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.5199999809265137 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.84677238 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |