Peng Luo
Harbin Institute of Technology
21 Papers
96 Citations
Peng Luo is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Node (networking) & Computer science. The author has an hindex of 10, co-authored 21 publications. Previous affiliations of Peng Luo include South University of Science and Technology of China.
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Papers
An influence framework on product word-of-mouth (WoM) measurement
Kun Chen,Peng Luo,Huaiqing Wang +2 more
TL;DR: In the experiments conducted based on Amazon.com data, it is found that, first, textual sentiment analysis produces a better summary of customer opinions than rating scores, and, second, product-comparative relationships provide additional information on measuring product WoM.
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Exploring the social influence of multichannel access in an online health community
TL;DR: The results of the experiment and robustness testing support the propositions that social influence and patients' rating significantly and positively affect multichannel access in an online health community.
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Which stocks are profitable? A network method to investigate the effects of network structure on stock returns
TL;DR: In this paper, a new method for analyzing the interaction effects among industries and stocks on stock returns is proposed, which constructs a complex network based on correlations of abnormal stock returns and use centrality and modularity to determine the effect of interconnections on industry and stock returns.
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A utility-based link prediction method in social networks
TL;DR: Utility analysis is introduced to the link prediction method by considering that individual preferences are the main reason behind the decision to form links, and meanwhile it also focuses on the meeting process that is a latent variable during the process of forming links.
37
Measuring social influence for firm-level financial performance
TL;DR: A generalized research framework for measuring social influence in an objective entity network is proposed, focusing on a combination of the multiple information sources, including public news and search indexes.
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