Network Science Institute (Northeastern University)
E391719
The Network Science Institute at Northeastern University is a research center dedicated to advancing the theory and application of network science across disciplines such as physics, computer science, sociology, and epidemiology.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Network Science Institute (Northeastern University) canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3813398 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Network Science Institute (Northeastern University) Context triple: [College of Science (Northeastern University), hasUnit, Network Science Institute (Northeastern University)]
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A.
Santa Fe Institute
The Santa Fe Institute is a renowned interdisciplinary research center in New Mexico focused on the study of complex systems across physics, biology, economics, and other fields.
-
B.
Information Networking Institute (Carnegie Mellon University)
The Information Networking Institute at Carnegie Mellon University is an interdisciplinary academic and research center focused on information networking, cybersecurity, and related technologies.
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C.
Harvard Center for Geographic Analysis
The Harvard Center for Geographic Analysis is a research hub at Harvard University that advances the use of geographic information systems (GIS) and spatial analysis across disciplines.
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D.
Rappaport Institute for Greater Boston
The Rappaport Institute for Greater Boston is a Harvard Kennedy School research and policy center focused on improving governance and quality of life in the Greater Boston region through research, public service, and civic engagement.
-
E.
MIT Institute for Data, Systems, and Society
The MIT Institute for Data, Systems, and Society is an interdisciplinary research and education institute at the Massachusetts Institute of Technology focused on data science, systems engineering, and social science to address complex societal challenges.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Network Science Institute (Northeastern University) Target entity description: The Network Science Institute at Northeastern University is a research center dedicated to advancing the theory and application of network science across disciplines such as physics, computer science, sociology, and epidemiology.
-
A.
Santa Fe Institute
The Santa Fe Institute is a renowned interdisciplinary research center in New Mexico focused on the study of complex systems across physics, biology, economics, and other fields.
-
B.
Information Networking Institute (Carnegie Mellon University)
The Information Networking Institute at Carnegie Mellon University is an interdisciplinary academic and research center focused on information networking, cybersecurity, and related technologies.
-
C.
Harvard Center for Geographic Analysis
The Harvard Center for Geographic Analysis is a research hub at Harvard University that advances the use of geographic information systems (GIS) and spatial analysis across disciplines.
-
D.
Rappaport Institute for Greater Boston
The Rappaport Institute for Greater Boston is a Harvard Kennedy School research and policy center focused on improving governance and quality of life in the Greater Boston region through research, public service, and civic engagement.
-
E.
MIT Institute for Data, Systems, and Society
The MIT Institute for Data, Systems, and Society is an interdisciplinary research and education institute at the Massachusetts Institute of Technology focused on data science, systems engineering, and social science to address complex societal challenges.
- F. None of above. chosen
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
academic research center
ⓘ
research institute ⓘ |
| academicDiscipline | physics ⓘ |
| affiliation | Northeastern University ⓘ |
| campus |
Northeastern University
ⓘ
surface form:
Northeastern University Boston campus
|
| country |
United States of America
ⓘ
surface form:
United States
|
| crossesDisciplinaryBoundaries | yes ⓘ |
| emphasis |
computational methods for large-scale networks
ⓘ
data-driven approaches to network science ⓘ |
| fieldOfWork |
complex systems
ⓘ
computational social science ⓘ computer science ⓘ data science ⓘ epidemiology ⓘ network science ⓘ public health ⓘ sociology ⓘ statistical physics ⓘ |
| hasResearchArea |
biological networks
ⓘ
economic and financial networks ⓘ policy applications of network science ⓘ transportation networks ⓘ urban networks ⓘ |
| languageOfWorkOrName | English ⓘ |
| locatedIn | Boston, Massachusetts ⓘ |
| mission |
advance the application of network science across disciplines
ⓘ
advance the theory of network science ⓘ |
| partOf | Northeastern University ⓘ |
| researchFocus |
computational modeling of complex systems
ⓘ
epidemic spreading on networks ⓘ information diffusion ⓘ network inference from data ⓘ network visualization ⓘ social networks ⓘ structure and dynamics of complex networks ⓘ |
| shortName | NetSI ⓘ |
| supports |
collaborations across departments at Northeastern University
ⓘ
graduate education ⓘ interdisciplinary research ⓘ postdoctoral research ⓘ |
| website | https://www.networkscienceinstitute.org/ ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Network Science Institute (Northeastern University) Description of subject: The Network Science Institute at Northeastern University is a research center dedicated to advancing the theory and application of network science across disciplines such as physics, computer science, sociology, and epidemiology.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
College of Science (Northeastern University)
subject surface form:
College of Science (Northeastern University)