Please use this identifier to cite or link to this item:
https://idr.l3.nitk.ac.in/jspui/handle/123456789/13777
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sumith N. | |
dc.contributor.author | Annappa B. | |
dc.contributor.author | Bhattacharya S. | |
dc.date.accessioned | 2020-03-31T14:15:21Z | - |
dc.date.available | 2020-03-31T14:15:21Z | - |
dc.date.issued | 2017 | |
dc.identifier.citation | Hybrid Intelligence for Social Networks, 2017, Vol., pp.129-160 | en_US |
dc.identifier.uri | 10.1007/978-3-319-65139-2_6 | |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/13777 | - |
dc.description.abstract | A social network is an Internet-based collaboration platform that plays a vital role in information spread, opinion-forming, trend-setting, and keeps everyone connected. Moreover, the popularity of web and social networks has interesting applications including viral marketing, recommendation systems, poll analysis, etc. In these applications, user influence plays an important role. This chapter discusses how effectively social networks can be used for information propagation in the context of viral marketing. Picking the right group of users, hoping they will cause a chain effect of marketing, is the core of viral marketing applications. The strategy used to select the correct group of users is the influence maximization problem. This chapter proposes one of the viable solutions to influence maximization. The focus is to find those users in the social networks who would adopt and propagate information, thus resulting in an effective marketing strategy. The three main components that would help in the effective spread of information in the social networks are: the network structure, the user's influence on others, and the seeding algorithm. Amalgamation of these three aspects provides a holistic solution to influence maximization. © Springer International Publishing AG 2017. All rights reserved. | en_US |
dc.title | A holistic approach to influence maximization | en_US |
dc.type | Book Chapter | en_US |
Appears in Collections: | 3. Book Chapters |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.