Identification of influencers - Measuring influence in customer networks

By Christine Kiss, Martin Bichler. Decision Support Systems, 2008

422 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/6a0b64f80adbf0e34bfa72b057662a635f791dc2

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In Sociology and Political Science

In Statistical and Nonlinear Physics

Citations in the corpus

Networks of Power, Degrees of Freedom (2011, background): “See, for example, Kiss and Bichler (2008). An instance of a broad research program aimed at measuring belief change and cultural behavior that exemplifies the kind of analysis I am describing as important is the Whitman Richards’ project on Belief Dynamics and Cultural Shifts at the MIT (CSAIL).”
Measuring social media influencer index- insights from facebook, Twitter and Instagram (2019, background): “Though it is available in plenty it needs the right approach to dissect the data into meaningful features (Kiss & Bichler, 2008).”
A Critical Review of Centrality Measures in Social Networks (2010, methodology): “In addition to the classic CM DC, CC, BC, and EC, the authors also apply newer concepts (such as PageRank-based CM, the edge-weighted DC, a HITS-based CM and a SenderRank CM) (Kiss and Bichler 2008, pp. 236).”
Customer-to-Customer Interactions: Broadening the Scope of Word of Mouth Research (2010, methodology): “In practice, firms increasingly use available data to identify and target influentials (Kirby and Marsden 2006; Kiss and Bichler 2008).”
Seeding Strategies for Viral Marketing: An Empirical Comparison (2011, background): “…of the sender i, and the remaining determinants are not correlated with higher connectivity, hubs should be the targets of initial seeding efforts, because they spread viral information best—as indicated in Hanaki et al. (2007), Van den Bulte and Joshi (2007), and Kiss and Bichler (2008).”
The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis (2010, neutral): “Recently, power centrality introduced by Bonacich (1987) is also drawing a lot of attention in dealing with networks in which someone's power depends on the power of those (s)he is socially related to, for example, in (Kiss & Bichler, 2008).”
Customer churn prediction in telecom using machine learning in big data platform (2019, methodology): “Based on the directed graphs, we use PageRank [19], Sender Rank [20] algorithms to produce two features for each graph.”