Academic social networks: Modeling, analysis, mining and applications

X Kong, Y Shi, S Yu, J Liu, F **a - Journal of Network and Computer …, 2019 - Elsevier
In the fast-growing scholarly big data background, social network technologies have recently
aroused widespread attention in academia and industry. The concept of academic social …

Scholarly recommendation systems: a literature survey

Z Zhang, BG Patra, A Yaseen, J Zhu… - … and Information Systems, 2023 - Springer
A scholarly recommendation system is an important tool for identifying prior and related
resources such as literature, datasets, grants, and collaborators. A well-designed scholarly …

[HTML][HTML] Futures of artificial intelligence through technology readiness levels

F Martínez-Plumed, E Gómez… - Telematics and …, 2021 - Elsevier
Artificial Intelligence (AI) offers the potential to transform our lives in radical ways. However,
the main unanswered questions about this foreseen transformation are its depth, breadth …

Cross-domain collaboration recommendation

J Tang, S Wu, J Sun, H Su - Proceedings of the 18th ACM SIGKDD …, 2012 - dl.acm.org
Interdisciplinary collaborations have generated huge impact to society. However, it is often
hard for researchers to establish such cross-domain collaborations. What are the patterns of …

HNERec: Scientific collaborator recommendation model based on heterogeneous network embedding

X Liu, K Wu, B Liu, R Qian - Information Processing & Management, 2023 - Elsevier
Scientific collaboration contributes to the innovation of science and technology. For
individual scholars, it is valuable to find potential and valuable collaborators to improve the …

Citeseerx: Ai in a digital library search engine

J Wu, KM Williams, HH Chen, M Khabsa, C Caragea… - AI Magazine, 2015 - ojs.aaai.org
CiteSeerX is a digital library search engine providing access to more than five million
scholarly documents with nearly a million users and millions of hits per day. We present key …

A multi-level fusion based decision support system for academic collaborator recommendation

T Pradhan, S Pal - Knowledge-Based Systems, 2020 - Elsevier
In academia, researchers collaborate with their peers to improve the quality of research and
thereby enhance academic profiles. However, information overload in big scholarly data …

[Књига][B] Academic search engines: A quantitative outlook

JL Ortega - 2014 - books.google.com
Academic Search Engines intends to run through the current panorama of the academic
search engines through a quantitative approach that analyses the reliability and consistence …

Exploiting publication contents and collaboration networks for collaborator recommendation

X Kong, H Jiang, Z Yang, Z Xu, F **a, A Tolba - PloS one, 2016 - journals.plos.org
Thanks to the proliferation of online social networks, it has become conventional for
researchers to communicate and collaborate with each other. Meanwhile, one critical …

Context-aware academic collaborator recommendation

Z Liu, X **e, L Chen - Proceedings of the 24th ACM SIGKDD …, 2018 - dl.acm.org
Collaborator Recommendation is a useful application in exploiting big academic data.
However, existing works leave out the contextual restriction (ie, research topics) of people's …