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Diffusion of innovations revisited: from social network to innovation network

Published: 27 October 2013 Publication History

Abstract

The spreading of innovations among individuals and organizations in a social network has been extensively studied. Although the recent studies among the social computing and data mining communities have produced various insightful conclusions about the diffusion process of innovations by focusing on the properties and evolution of social network structures, less attention has been paid to the interrelationships among the multiple innovations being diffused, such as the competitive and collaborative relationships between innovations. In this paper, we take a formal quantitative approach to address how different pieces of innovations socialize with each other and how the interrelationships among innovations affect users' adoption behavior, which provides a novel perspective of understanding the diffusion of innovations. Networks of innovations are constructed by mining large scale text collections in an unsupervised fashion. We are particularly interested in the following questions: what are the meaningful metrics on the network of innovations? What effects do these metrics exert on the diffusion of innovations? Do these effects vary among users with different adoption preferences or communication styles? While existing studies primarily address social influence, we provide a detailed discussion of how innovations interrelate and influence the diffusion process.

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    cover image ACM Conferences
    CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management
    October 2013
    2612 pages
    ISBN:9781450322638
    DOI:10.1145/2505515
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 27 October 2013

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    1. diffusion of innovations
    2. innovation networks

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    October 27 - November 1, 2013
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    • (2024)Improving Service Quality: Innovations in Enriching the IoT Experience2024 7th International Conference on Electronics, Communications, and Control Engineering (ICECC)10.1109/ICECC63398.2024.00019(66-71)Online publication date: 22-Mar-2024
    • (2024)Predicting users’ future interests on social networks: A reference frameworkInformation Processing & Management10.1016/j.ipm.2024.10376561:5(103765)Online publication date: Sep-2024
    • (2023)Adoption of Recurrent Innovations: A Large-Scale Case Study on Mobile App UpdatesACM Transactions on the Web10.1145/362618918:1(1-26)Online publication date: 14-Nov-2023
    • (2021)How does rumor spreading affect people inside and outside an institutionInformation Sciences: an International Journal10.1016/j.ins.2021.05.085574:C(377-393)Online publication date: 1-Oct-2021
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    • (2020)Improving Product Sales on E-Commerce Websites Based on Reviewers OpinionsInternational Journal of Scientific Research in Science and Technology10.32628/IJSRST207366(361-366)Online publication date: 5-Jun-2020
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    • (2019)IAD: Interaction-Aware Diffusion Framework in Social NetworksIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2018.285749231:7(1341-1354)Online publication date: 1-Jul-2019
    • (2019)Understanding Information Diffusion via Heterogeneous Information Network EmbeddingsDatabase Systems for Advanced Applications10.1007/978-3-030-18576-3_30(501-516)Online publication date: 22-Apr-2019
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