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Data for Concept spread results for 2 concept environments
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Archbold, James (2017) Data for Concept spread results for 2 concept environments. [Dataset]
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Official URL: https://doi.org/10.5281/zenodo.1007743
Abstract
The propagation of concepts in a population of agents is a form of influence spread, which can be modelled as a cascade from a set of initially activated individuals. The study of such influence cascades, in particular the identification of influential individuals, has a wide range of applications including epidemic control, viral marketing and the study of social norms. In real-world environments there may be many concepts spreading and interacting. These interactions can affect the spread of a given concept, either boosting it and allowing it to spread further, or inhibiting it and limiting its capability to spread. Previous work does not consider how the interactions between concepts affect concept spread. Taking concept interactions into consideration allows for indirect concept manipulation, meaning that we can affect concepts we are not able to directly control. In this paper, we consider the problem of indirect concept manipulation, and propose heuristics for indirectly boosting or inhibiting concept spread in environments where concepts interact. We define a framework that allows for the interactions between any number of concepts to be represented, and present a heuristic that aims to identify important influence paths for a given target concept in order to manipulate its spread. We compare the performance of this heuristic, called maximum probable gain, against established heuristics for manipulating influence spread.
| Item Type: | Dataset | ||||||
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| Subjects: | B Philosophy. Psychology. Religion > BD Speculative Philosophy H Social Sciences > HM Sociology |
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
| Type of Data: | Modelling data | ||||||
| Library of Congress Subject Headings (LCSH): | Concepts, Influence (Psychology), Social norms -- Mathematical models | ||||||
| Publisher: | University of Warwick, Department of Computer Science | ||||||
| Official Date: | 10 October 2017 | ||||||
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| Status: | Not Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Media of Output (format): | .txt | ||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||
| Copyright Holders: | University of Warwick | ||||||
| Description: | Data record consists of 2 zip archives, containing raw data for multiple concepts spreading within a network. |
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