ArnetMiner

ArnetMiner (also AMiner): ArnetMiner: extraction and mining of academic social networks. This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting researcher profiles automatically from the Web; 2) Integrating the publication data into the network from existing digital libraries; 3) Modeling the entire academic network; and 4) Providing search services for the academic network. So far, 448,470 researcher profiles have been extracted using a unified tagging approach. We integrate publications from online Web databases and propose a probabilistic framework to deal with the name ambiguity problem. Furthermore, we propose a unified modeling approach to simultaneously model topical aspects of papers, authors, and publication venues. Search services such as expertise search and people association search have been provided based on the modeling results. In this paper, we describe the architecture and main features of the system. We also present the empirical evaluation of the proposed methods.


References in zbMATH (referenced in 21 articles )

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  1. Chen, Junyang; Gong, Zhiguo; Wang, Wei; Liu, Weiwen: HNS: hierarchical negative sampling for network representation learning (2021)
  2. Deng, Junning; Kang, Bo; Lijffijt, Jefrey; De Bie, Tijl: Mining explainable local and global subgraph patterns with surprising densities (2021)
  3. Kang, Bo; García García, Darío; Lijffijt, Jefrey; Santos-Rodríguez, Raúl; De Bie, Tijl: Conditional t-SNE: more informative t-SNE embeddings (2021)
  4. Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang: CogDL: An Extensive Toolkit for Deep Learning on Graphs (2021) arXiv
  5. Bioglio, Livio; Rho, Valentina; Pensa, Ruggero G.: Ranking by inspiration: a network science approach (2020)
  6. Hou, Mingliang; Ren, Jing; Zhang, Da; Kong, Xiangjie; Zhang, Dongyu; Xia, Feng: Network embedding: taxonomies, frameworks and applications (2020)
  7. Li, Bentian; Pi, Dechang; Lin, Yunxia; Khan, Izhar Ahmed; Cui, Lin: Multi-source information fusion based heterogeneous network embedding (2020)
  8. Xie, Yu; Zhang, Yuanqiao; Gong, Maoguo; Tang, Zedong; Han, Chao: MGAT: multi-view graph attention networks (2020)
  9. Adriaens, Florian; Lijffijt, Jefrey; De Bie, Tijl: Subjectively interesting connecting trees and forests (2019)
  10. Zhang, Ting; Zhang, Kun; Lv, Laishui; Bardou, Dalal: Co-ranking for nodes, layers and timestamps in multilayer temporal networks (2019)
  11. Ravkic, Irma; Žnidaršič, Martin; Ramon, Jan; Davis, Jesse: Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model (2018)
  12. Khan, Kifayat Ullah; Dolgorsuren, Batjargal; Anh, Tu Nguyen; Nawaz, Waqas; Lee, Young-Koo: Faster compression methods for a weighted graph using locality sensitive hashing (2017)
  13. Kim, Mijung; Candan, K. Selçuk: Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient CP and Tucker decompositions (2016)
  14. Yang, Chris; Thuraisingham, Bhavani: A generalized approach for social network integration and analysis with privacy preservation (2014)
  15. Jaeger, Manfred; Lippi, Marco; Passerini, Andrea; Frasconi, Paolo: Type extension trees for feature construction and learning in relational domains (2013)
  16. Lo, Yi-Chen; Li, Jhao-Yin; Yeh, Mi-Yen; Lin, Shou-De; Pei, Jian: What distinguish one from its peers in social networks? (2013)
  17. Soriano, Jacopo; Au, Timothy; Banks, David: Text mining in computational advertising (2013)
  18. Wu, Ying-Jun; Huang, Han; Hao, Zhi-Feng; Chen, Feng: Local community detection using link similarity (2012) ioport
  19. Zhuang, Honglei; Tang, Jie; Tang, Wenbin; Lou, Tiancheng; Chin, Alvin; Wang, Xia: Actively learning to infer social ties (2012)
  20. Tang, Jie; Zhang, Jing; Jin, Ruoming; Yang, Zi; Cai, Keke; Zhang, Li; Su, Zhong: Topic level expertise search over heterogeneous networks (2011) ioport

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