Interpreting informational cues: An explorative study on information use among prospective homebuyers

By Reijo Savolainen. 2009

518 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/e71668b8ef1f40c24e25218051e5796e56b8e51d

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In Information Systems

Citations in the corpus

Big Data and supply chain management: a review and bibliometric analysis (2016, background): “However, the popularity of an article can also be assessed by the number of times it is cited by other highly cited articles (Ding et al. 2009).”
Assessing the bias in samples of large online networks (2014, unknown): “…for instance, some focus on the subset of essages about trending topics (Cha et al., 2010), others analyse ontent related to commercial products (Jansen et al., 2009), and thers analyse messages labelled with specific hashtags (Borgeolthoefer et al., 2011; Morstatter et al., 2013; Romero et…”
Vital nodes identification in complex networks (2016, background): “It has been applied to rank a broad range of objects via their network structure: to rank images [102] and books [103], to rank genes [104] and proteins [105] in Biology and Bioinformatics, to rank molecules [106] in Chemistry, to rank brain regions [107] and neurons [108] in Neuroscience, to rank h”
Hive plots - rational approach to visualizing networks (2012, background): “Page rank [58] A type of eigenvector centrality.”
A Survey of Techniques for Event Detection in Twitter (2015, unknown): “Companies are increasingly using Twitter to advertise and recommend products, brands, and services; to build and maintain reputations; to analyze users’ sentiment regarding their products (or those of their competitors); to respond to customers’ complaints; and to improve decision making and busines”
Self reinforcement for important passage retrieval (2013, background): “Although born in the web page retrieval research topic, it was the basis for several models proposed in different disciplines [4, 6].”
Capital structure of SMEs: a systematic literature review and bibliometric analysis (2019, unknown): “In this study, we have conducted a bibliometric analysis of the literature on capital structure of SMEs with the help of tools like Citation Analysis, Co-Citation Analysis, Keyword Analysis, Co-occurrence Analysis, PageRank Analysis, and Coauthorship Analysis like Fahimnia et al. (2015), Xu et al.”
Disruption risks in supply chain management: a literature review based on bibliometric analysis (2020, background): “The ‘prestige’ is usually measured by the number of times a publication is cited by other highly cited papers (Fahimnia, Sarkis, and Davarzani 2015; Ding et al. 2009).”
Blockchain applications in supply chains, transport and logistics: a systematic review of the literature (2019, background): “In the context of co-citation analysis, PageRank prioritises publications that have a higher global citation count as well as papers that are cited by these publications with high citation counts (Ding et al. 2009).”