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Interest-based Recommendation in Academic Networks using Social Network Analysis

Peyman Toreini, Mohamed Amine Chatti, Hendrik Thues, Ulrik Schroeder
In this paper, we investigate interest-based recommendation in academic networks using social network analytics (SNA) methods.  ...  The evaluation results show that SNA-based recommendation outperforms traditional CF methods in terms of coverage and thus can provide an effective solution to the sparsity and cold start problems in recommender  ...  The goal of Social Network Analysis-based Recommender Systems (SNA-based RS) is to improve the performance of traditional recommendation approaches by involving social relationships.  ... 
doi:10.5445/ir/1000059765 fatcat:6bufc6b5i5ditgdl7kguj6gs7q

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.  ...  An improved Random Walk with Restart (RWR) based algorithm is developed, in which the time-varying academic influence is newly defined and measured in a certain social context, to provide researchers with  ...  navigation in academic social network environments.  ... 
doi:10.1109/tetc.2018.2860051 fatcat:4zujhixpzfcoxertjbvwy3f6ba

The Effects of Communication Networks on Students' Academic Performance: The Synthetic Approach of Social Network Analysis and Data Mining for Education

Yasaman Mastoory, Saeedeh Rajaee Harandi, Neda Abdolvand
2016 International Journal on Integrating Technology in Education  
In this study, a combined approach of social network analysis and educational data mining (decision tree method) was used to study the impact of communication networks, behavior networks and the combination  ...  Social networks, as the most important communication tools, have had a profound impact on social aspects of community user interactions and they are used widely in various fields, such as education.  ...  [40] used the data mining approach to design their Social E-Learning Recommender System (SELRS) for different e-Learning contents based on user interests and social activities; the authors indicated  ... 
doi:10.5121/ijite.2016.5403 fatcat:eg3her2sfnal5gp43phhzvsibe

Random Walk-based Beneficial Collaborators Recommendation Exploiting Dynamic Research Interests and Academic Influence

Xiangjie Kong, Huizhen Jiang, Teshome Megersa Bekele, Wei Wang, Zhenzhen Xu
2017 Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion  
Finally, we combine the similarity and influence in collaborators network to fix rank score and mine the candidates with high academic level and academic social impact.  ...  In this paper, we propose the Beneficial Collaborator Recommendation (BCR) model that considers the dynamic research interest of researcher's and academic level of collaborators to recommend the BCs.  ...  In general, collaborator recommendation models can be categorized into four categories, namely, CF-based recommendation (Collaborative Filtering), content-based recommendation, social network-based recommendation  ... 
doi:10.1145/3041021.3051154 dblp:conf/www/KongJBWX17 fatcat:7umddvd4crh4pnfk27a3ndum5e

Exploiting Publication Contents and Collaboration Networks for Collaborator Recommendation

Xiangjie Kong, Huizhen Jiang, Zhuo Yang, Zhenzhen Xu, Feng Xia, Amr Tolba, Sergio Gómez
2016 PLoS ONE  
In this work, we propose a novel collaborator recommendation model called CCRec, which combines the information on researchers' publications and collaboration network to generate better recommendation.  ...  Thanks to the proliferation of online social networks, it has become conventional for researchers to communicate and collaborate with each other.  ...  , social network-based and hybrid recommendation.  ... 
doi:10.1371/journal.pone.0148492 pmid:26849682 pmcid:PMC4743965 fatcat:spxriojz5nghfeoriz7urxdqja

An Effective Recommender Algorithm for Cold-Start Problem in Academic Social Networks

Vala Ali Rohani, Zarinah Mohd Kasirun, Sameer Kumar, Shahaboddin Shamshirband
2014 Mathematical Problems in Engineering  
The effectiveness of ECSN algorithm was evaluated by implementing it in MyExpert, a newly designed academic social network (ASN) for academics in Malaysia.  ...  Coined as enhanced content-based algorithm using social networking (ECSN), the proposed algorithm considers the submitted ratings of faculty mates and friends besides user's own preferences.  ...  In each week of experiments, 100 academic items were submitted at MyExpert academic social network.  ... 
doi:10.1155/2014/123726 fatcat:h5ky5uah6ncg5gkaprd4m2line

On the predictability of talk attendance at academic conferences

Christoph Scholz, Jens Illig, Martin Atzmueller, Gerd Stumme
2014 Proceedings of the 25th ACM conference on Hypertext and social media - HT '14  
Introduction Academic conferences facilitate scientific exchange, collaboration and innovation, e. g., fostered by social contacts and interesting talks.  ...  We also analyzed the influence of user interests based on the contents of the crawled papers: Prediction based on user-interest alone achieves better results than prediction based solely on face-to-face  ... 
doi:10.1145/2631775.2631816 dblp:conf/ht/0001IAS14 fatcat:575cf3j2pffwjbpsrfnbm4iy54

Using an Exponential Random Graph Model to Recommend Academic Collaborators

Hailah Al-Ballaa, Hmood Al-Dossari, Azeddine Chikh
2019 Information  
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  ...  Content-based recommendation system make recommendations based on similarity without taking social context into consideration.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info10060220 fatcat:2k2cajjd35hq7jqrqgflgc6iha

Personalized Scholar Recommendation Based on Multi-Dimensional Features

Huiying Jin, Pengcheng Zhang, Hai Dong, Mengqiao Shao, Yuelong Zhu
2021 Applied Sciences  
In this work, Mul-RSR aims to provide personalized recommendation for academic social platforms.  ...  The rapid development of social networking platforms in recent years has made it possible for scholars to find partners who share similar research interests.  ...  Data Availability Statement: The datasets are available from the URL provided in the article. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11188664 fatcat:gehewatlefbjhk4xwrv3agf5gy

Analysis of Mining Social Media – A Learners Perspective

2020 International journal for research in engineering application & management  
which will help the researchers how the social media, social networking websites structurally classified, studies the existing data mining techniques along with the performance metrics used in past researches  ...  This paper give an idea of the how those sites are classified based on their size, data, research focus, design issues and the types of the sites, types of users and the common approaches on social networks  ...  In addition to social network extraction, there are other measurements that can be used for social network analysis as well.  ... 
doi:10.35291/2454-9150.2020.0017 fatcat:kt2w2rhk7jbp3mdbdytc2bj3km

Learner Modeling in Academic Networks

Mohamed Amine Chatti, Darko Dugoija, Hendrik Thus, Ulrik Schroeder
2014 2014 IEEE 14th International Conference on Advanced Learning Technologies  
In this paper, we focus on learner modeling in academic networks. We present theoretical, design, implementation, and evaluation details of PALM, a service for personal academic learner modeling.  ...  To achieve particular learnercentered LA objectives such as intelligent feedback, adaptation, personalization, or recommendation, learner modeling is a crucial task.  ...  For example, if the terms "social", "network", "analysis", "social network", "network analysis" and "social network analysis" were extracted, the algorithm would favor the multi word term "social network  ... 
doi:10.1109/icalt.2014.42 dblp:conf/icalt/ChattiDTS14 fatcat:2655vzhugvc3foevvw5czvdtla

Discovery of potential collaboration networks from open knowledge sources [article]

Nelson Piedra, Janneth Chicaiza, Jorge Lopez-Vargas, Edmundo Tovar
2017 arXiv   pre-print
syntactic analysis of the topics or concepts that are of interest to academics.  ...  In this approach, semantic and hierarchic relationships defined by a Knowledge Organization System are used in order to improve the system's ability to recommend potential networks beyond the lexical or  ...  In [2, 3] , areas of collaboration and common interests among researchers were identified through a social network approach.  ... 
arXiv:1711.03537v1 fatcat:x5bky65rwnf3zkrujrsugvx67u

Comparing Students' Academic Engagement Based on How Much They Use Social Networks in Learning English

Fakhri Zamani, Behnam Talebi
2018 Interdisciplinary Journal of Virtual Learning in Medical Sciences  
Context: The current study aimed at comparing students' academic engagement (AE) based on their educational use of social networks (EUSN) in learning English at the Iran language Institute (ILI), Tabriz  ...  Conclusions: The use of social networking in education and learning can provide an appropriate basis for interaction between teachers and students and use of these networks in the teaching process is recommended  ...  Footnotes Authors' Contribution: All authors had equal role in data analysis, drafting, and critical revision of the manuscript. They also read and approved the final copy of the manuscript.  ... 
doi:10.5812/ijvlms.65552 fatcat:u5yqxkcil5h33kyfaaigyltexm

Recommending program committee candidates for academic conferences

Shuguang Han, Jiepu Jiang, Zhen Yue, Daqing He
2013 Proceedings of the 2013 workshop on Computational scientometrics: theory & applications - CompSci '13  
The results show that: i) the publication history is the strongest indicator of being PC members; ii) recommendations based on the social closeness also produce reasonable good results; iii) recommend  ...  PC member finding is a complex task, which could be influenced by many factors such as the candidates' research interests' match with conference topics, the candidates' social closeness with PC chairs,  ...  Coauthor network is a straightforward and commonly used social network in academic datasets whose edges are defined as collaboration relationships in co-authoring a paper.  ... 
doi:10.1145/2508497.2508498 dblp:conf/cikm/HanJYH13 fatcat:sl3r2edx4zf6zglrrczk7hmti4

The Use of Academic Social Networking Sites in Scholarly Communication: Scoping Review

Milkyas Hailu, Jianhua Wu
2020 Data and Information Management  
AbstractThis research provides a systematic analysis of 115 previous literatures on the use of academic social networking sites (ASNs) in scholarly communication.  ...  Keyword analysis and scoping review approaches have been used to analyze the comprehensive literature in the field. The study found a geographic variation in what motivates academics to use ASNs.  ...  Using a similar approach, Zhang et al. (2020) proposed a method for recommending potential friends for scholars using academic social networks.  ... 
doi:10.2478/dim-2020-0050 fatcat:ogwzdeopzrhmhpkil3lmbjbk5m
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