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Fangbo Tao, Lidan Wang, Tim Weninger, Xiao Yu, Kin Hou Lei, George Brova, Xiao Cheng, Jiawei Han, Rucha Kanade, Yizhou Sun, Chi Wang
2013 Proceedings of the 2013 international conference on Management of data - SIGMOD '13  
We show that nontrivial research insight can be obtained from such analysis, including (1) ranking, clustering, classification and similarity search of researchers, terms and venues for research subfields  ...  In this system demo, we take a computer science research publication network as an example, which is an information network derived from an integration of DBLP, other web-based information about researchers  ...  meaningful in many scenarios compared with random-walk based similarity measures and is also efficient for top-k similarity search in heterogeneous networks.  ... 
doi:10.1145/2463676.2463689 dblp:conf/sigmod/TaoYLBCHKSWWW13 fatcat:emvwoxwvurce3mwqs6mmmrgauu

Paper recommendation using citation proximity in bibliographic coupling

Raja HABIB, Muhammad Tanvir AFZAL
2017 Turkish Journal of Electrical Engineering and Computer Sciences  
Some of these include methods based on meta-data, content similarity, 8 7  ...  Research paper recommendation has been a hot research area for last few 6 decades. Thus far, numerous different paper recommendation approaches have been 7 proposed.  ...  into different categories 7 based on the similarity measures.  ... 
doi:10.3906/elk-1608-180 fatcat:pklzukikj5bxfkdrly75yqpy3q

FeRoSA: A Faceted Recommendation System for Scientific Articles [chapter]

Tanmoy Chakraborty, Amrith Krishna, Mayank Singh, Niloy Ganguly, Pawan Goyal, Animesh Mukherjee
2016 Lecture Notes in Computer Science  
Here, we propose for the first time a framework of faceted recommendation for scientific articles (abbreviated as FeRoSA) which apart from ensuring quality retrieval of scientific articles for a query  ...  FeRoSA is precisely built on a random walk based framework on an induced subnetwork consisting of nodes related to the query paper in terms of either citations or content similarity.  ...  This in turn answers the necessity of considering cosine-similarity based papers while constructing the initial pool. Comparative analysis.  ... 
doi:10.1007/978-3-319-31750-2_42 fatcat:fk6c2shlw5fjpdhe6rcrf6jrza

A Collaborative Approach Toward Scientific Paper Recommendation Using Citation Context

Nazmus Sakib, Rodina Binti Ahmad, Khalid Haruna
2020 IEEE Access  
Considering the above challenges, this paper presents a collaborative filtering based recommendation approach for scientific papers that does not depend on priori user profiles and which utilizes only  ...  Scientific paper recommenders have emerged as a leading solution to help researchers by automatically suggesting relevant and useful publications.  ...  The model creates a citation network based on these keywords to apply two coverage measure techniques to build a reading list of scientific papers. Liu et al.  ... 
doi:10.1109/access.2020.2980589 fatcat:4epq3zn4mfg5pmykywco5ccwie

Academic Influence Aware and Multidimensional Network Analysis for Research Collaboration Navigation Based on Scholarly Big Data

Xiaokang Zhou, Wei Liang, Kevin I-Kai Wang, Runhe Huang, Qun Jin
2018 IEEE Transactions on Emerging Topics in Computing  
In this study, we focus on the academic influence aware and multidimensional network analysis based on the integration of multi-source scholarly big data.  ...  Following three basic relations: Researcher-Researcher, Researcher-Article, and Article-Article, a set of measures is introduced and defined to quantify correlations in terms of activity-based collaboration  ...  [31] proposed a folksonomy-based recommendation mechanism to calculate conference participants' research interests, which can provide the socially aware recommendation of relevant scientific papers  ... 
doi:10.1109/tetc.2018.2860051 fatcat:4zujhixpzfcoxertjbvwy3f6ba

Interdisciplinary Collaborator Recommendation Based on Research Content Similarity

Masataka ARAKI, Marie KATSURAI, Ikki OHMUKAI, Hideaki TAKEDA
2017 IEICE transactions on information and systems  
To find the most relevant researchers who work in other fields, we compare constructing a pairwise similarity matrix in a feature space and exploiting existing social networks with content-based similarity  ...  To find collaboration opportunities outside researchers' own fields of expertise and beyond their social network, we present an interdisciplinary collaborator recommendation method based on research content  ...  For example, co-authorship networks are derived from author lists of papers to which network analysis methods are applied to find prospective collaborators for a target researcher [6] , [7] .  ... 
doi:10.1587/transinf.2016dap0030 fatcat:sr4vxal2r5aanmkk5z32rl5lm4

A Recommendation System Based on Hierarchical Clustering of an Article-Level Citation Network

Jevin D. West, Ian Wesley-Smith, Carl T. Bergstrom
2016 IEEE Transactions on Big Data  
In this paper, we introduce Eigenfactor Recommends -a citation-based method for improving scholarly navigation.  ...  The algorithm uses the hierarchical structure of scientific knowledge, making possible multiple scales of relevance for different users.  ...  a measure of similarity.  ... 
doi:10.1109/tbdata.2016.2541167 fatcat:3s7hk7bzwjgi7ewunhxdqf4wwy

Personalized Scientific Paper Recommendation based on Heterogeneous Graph Representation

Xiao Ma, Ranran Wang
2019 IEEE Access  
Finally, the paper recommendation is completed by calculating the similarity of the generated author and paper feature vectors. We present experiments on a real academic network, the DBLP network.  ...  The accelerating rate of scientific publications makes it extremely difficult for researchers to find out the relevant papers and related works.  ...  SCIENTIFIC PAPER RECOMMENDATION The task of scientific paper recommendation is to offer researchers a list of relevant papers that researchers would like to read or cite in the future.  ... 
doi:10.1109/access.2019.2923293 fatcat:owaxatica5fd7paux4hgneb5ym

A Study on Publication Recommender System with Content Modelling

Htay Htay Win
2020 International Journal of Scientific Research in Science Engineering and Technology  
erent approaches for the same involving the use of social network of the authors and the content of the paper in the settings of dimensionality reduction and topic modelling.  ...  c conference and journal is inclined towards a particular ?eld of research and there is a extensive group of them for any particular ?eld.  ...  We propose three different methods to recommend conferences for researchers to submit their paper based on the content of the paper and the social network of the authors: two of them involving content-analysis  ... 
doi:10.32628/ijsrset207254 fatcat:lgtwe4fxkfd55luhsfyqxyla6e

Using an Exponential Random Graph Model to Recommend Academic Collaborators

Hailah Al-Ballaa, Hmood Al-Dossari, Azeddine Chikh
2019 Information  
Content-based recommendation system make recommendations based on similarity without taking social context into consideration.  ...  In this paper, we propose a weighting method that can be used to combine two or more social context factors in a recommendation engine that leverages an exponential random graph model (ERGM) based on historical  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info10060220 fatcat:2k2cajjd35hq7jqrqgflgc6iha

Combining social information for academic networking

Tamara Heck
2013 Proceedings of the 2013 conference on Computer supported cooperative work - CSCW '13  
Throughout his or her career, any researcher will build up a social academic network consisting of people with similar scientific interests.  ...  The following chapter describes, by way of example, one approach to recommendation for social networking in academia.  ...  The project was financed by a grant of the Strategische Forschungsfonds of the Heinrich-Heine-University Düsseldorf.  ... 
doi:10.1145/2441776.2441932 dblp:conf/cscw/Heck13 fatcat:ku63auhphrf6hhgkgknwwq5whi

Accuracy of inter-researcher similarity measures based on topical and social clues

Guillaume Cabanac
2011 Scientometrics  
Experimental results show a significant 11.21% accuracy improvement of socio-topical recommendations compared to baseline topical recommendations.  ...  Scientific literature recommender systems (SLRSs) provide papers to researchers according to their scientific interests.  ...  I am also grateful to the 71 volunteer researchers who took part in the experiment reported in this paper. Their feedback, comments, and insightful advice have been a source of stimulating thinking.  ... 
doi:10.1007/s11192-011-0358-1 fatcat:nue4vkx5pzcoloak77zuhw5iwy


Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, Clyde Lee Giles
2011 Proceeding of the 11th annual international ACM/IEEE joint conference on Digital libraries - JCDL '11  
CollabSeer discovers collaborators based on the structure of the coauthor network and a user's research interests.  ...  Currently, three different network structure analysis methods that use vertex similarity are supported in CollabSeer: Jaccard similarity, cosine similarity, and our relation strength similarity measure  ...  Vertex Similarity Analysis Vertex similarity defines the similarity of two vertices based on the structure of network.  ... 
doi:10.1145/1998076.1998121 dblp:conf/jcdl/ChenGZG11 fatcat:ksrhk5lmj5hxdeplgyzjp52h7e

Citation Recommendation as Edge Prediction in Heterogeneous Bibliographic Network: A Network Representation Approach

Libin Yang, Zeqing Zhang, Xiaoyan Cai, Lantian Guo
2019 IEEE Access  
In this paper, we first construct a heterogeneous bibliographic network and deem citation recommendation as edge prediction problem, and then we develop a network representation-based edge prediction (  ...  With an increasing number of scholarly publications, accessing and retrieving appropriate papers is becoming an essential task for researchers.  ...  RELATED WORK A. NETWORK REPRESENTATION BASED CITATION RECOMMENDATION Pan et al. [17] developed a heterogeneous graph-based similarity learning algorithm for academic paper recommendation.  ... 
doi:10.1109/access.2019.2899907 fatcat:iblmmuusdneefgoeetkmsk2wbe

Analysis of ResearchGate, A Community Detection Approach [article]

Mohammad Heydari, Babak Teimourpour
2020 arXiv   pre-print
To reach a big picture of science production flow, analysis of the collaboration network is crucial.  ...  This study utilizes network science to create collaboration network of Iranian Scientific Institutions. A modularity-based approach applied to find network communities.  ...  Based on RG Network, at the time of writing this paper, it's introducing a new trial metric to measure researchers score called Research Interest.  ... 
arXiv:2003.05591v2 fatcat:qmzqevn5obaw3meonci23zd35e
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