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Discovering Social Influence in E-Commerce with Twitter Analysis

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4614-6309-2_9openalex-extracted
Social Sensing
inferredcites →https://doi.org/10.1007/978-3-319-21042-1_53openalex-extracted
Maximizing the Spread of Competitive Influence in a Social Network Oriented to Viral Marketing
inferredcites →https://doi.org/10.1007/978-3-319-42345-6_10openalex-extracted
Time-Critical Viral Marketing Strategy with the Competition on Online Social Networks
inferredcites →https://doi.org/10.1007/978-3-662-45237-0_48openalex-extracted
Analysis of Social Influence and Information Dissemination in Social Media: The Case of Twitter
inferredcites →https://doi.org/10.1016/0378-8733(78)90021-7openalex-extracted
Centrality in social networks conceptual clarification
inferredcites →https://doi.org/10.1057/dddmp.2012.25openalex-extracted
Measuring the diffusion of marketing messages across a social network
inferredcites →https://doi.org/10.1109/bigdataservice.2017.46openalex-extracted
Viral Marketing for Smart Cities: Influencers in Social Network Communities
inferredcites →https://doi.org/10.1109/mic.2013.100openalex-extracted
Social-Network-Sourced Big Data Analytics
inferredcites →https://doi.org/10.1109/rivf.2016.7800260openalex-extracted
A new viral marketing strategy with the competition in the large-scale online social networks
inferredcites →https://doi.org/10.1109/tcns.2016.2553364openalex-extracted
Competitive Diffusion in Social Networks: Quality or Seeding?
inferredcites →https://doi.org/10.1109/tcss.2017.2715183openalex-extracted
Maximizing the Influence and Profit in Social Networks
inferredcites →https://doi.org/10.1109/tnet.2017.2691544openalex-extracted
A Billion-Scale Approximation Algorithm for Maximizing Benefit in Viral Marketing
inferredcites →https://doi.org/10.1145/2808797.2808844openalex-extracted
Centrality for graphs with numerical attributes
inferredcites →https://doi.org/10.1186/s40537-017-0076-5openalex-extracted
Identification of top-K nodes in large networks using Katz centrality

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.4018/ijkss.2020010102openalex-snapshot
Social Influence Analysis for Information Diffusion in Complex Commercial Network
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