research-article

Identifying bloggers with marketing influence in the blogosphere

Authors:

Cheng-Yang Lai,

Ching-Wen ChenAuthors Info & Claims

ICEC '09: Proceedings of the 11th International Conference on Electronic Commerce

Pages 335 - 340

https://doi.org/10.1145/1593254.1593307

Published: 12 August 2009 Publication History

Abstract

Finding influential bloggers will not only allow us to better understand interesting activities happening in a social network, but also present unique opportunities for sales and advertisements. In this paper, we address a novel problem of finding influential bloggers with marketing value in the blogosphere by proposing a MIV (Marketing Influential Value) model. We induce two dimensions of blog characteristics (network-based factors and content-based factors) and develop an adaptive artificial neural network (ANN) to identify the potential bloggers with marketing influence to support the marketers or advertisers in promoting their products or services effectively.

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Cited By

Yang JWang JGao M(2023)Community Evolution Analysis Driven by Tag Events: The Special Perspective of New TagsMathematics10.3390/math1106136111:6(1361)Online publication date: 10-Mar-2023
https://doi.org/10.3390/math11061361
Weber PLudwig TBrodesser SGrönewald LKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)“It's a Kind of Art!”: Understanding Food Influencers as Influential Content CreatorsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445607(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445607
Laitkep DČervkovskis E(2020)Online Consumer Purchasing Behaviour in SlovakiaTransport and Communications10.26552/tac.C.2020.1.38:1(13-16)Online publication date: 30-Mar-2020
https://doi.org/10.26552/tac.C.2020.1.3
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Index Terms

Identifying bloggers with marketing influence in the blogosphere
1. Computing methodologies
  1. Machine learning

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Published In

cover image ACM Other conferences

ICEC '09: Proceedings of the 11th International Conference on Electronic Commerce

August 2009

407 pages

ISBN:9781605585864

DOI:10.1145/1593254

Conference Chairs:
Patrick Y. K. Chau
The University of Hong Kong, Hong Kong
,
Kalle Lyytinen
Case Western Reserve University, USA
,
Chih-Ping Wei
National Tsing Hua University, Taiwan
,
Program Chairs:
Christopher C. Yang
Drexel University, USA
,
Fu-Ren Lin
National Tsing Hua University, Taiwan

Copyright © 2009 ACM.

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]

Sponsors

School of Business, The University of Hong Kong, Hong Kong
Sayling Wen Cultural & Educational Foundation
Ministry of Education, Taiwan
College of Information Science and Technology, Drexel University, USA
Weatherhead School of Management, Case Western Reserve University, USA
College of Technology Management, National Tsing Hua University, Taiwan
National Science Council, Taiwan
Chinese Enterprise Resource Planning Society, Taiwan
International Center for Electronic Commerce, Korea Advanced Institute of Science & Technology, Korea

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 August 2009

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National Science Council Taiwan

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ICEC '09

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ICEC '09: International Conference on E-Commerce

August 12 - 15, 2009

Taipei, Taiwan

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Overall Acceptance Rate 150 of 244 submissions, 61%

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Citations

Cited By

Yang JWang JGao M(2023)Community Evolution Analysis Driven by Tag Events: The Special Perspective of New TagsMathematics10.3390/math1106136111:6(1361)Online publication date: 10-Mar-2023
https://doi.org/10.3390/math11061361
Weber PLudwig TBrodesser SGrönewald LKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)“It's a Kind of Art!”: Understanding Food Influencers as Influential Content CreatorsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445607(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445607
Laitkep DČervkovskis E(2020)Online Consumer Purchasing Behaviour in SlovakiaTransport and Communications10.26552/tac.C.2020.1.38:1(13-16)Online publication date: 30-Mar-2020
https://doi.org/10.26552/tac.C.2020.1.3
Ishfaq UKhan HIqbal K(2017)Identifying the influential bloggersJournal of Web Engineering10.5555/3177589.317759516:5-6(505-523)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.5555/3177589.3177595
Khan HDaud AIshfaq UAmjad TAljohani NAbbasi RAlowibdi J(2017)Modelling to identify influential bloggers in the blogosphereComputers in Human Behavior10.1016/j.chb.2016.11.01268:C(64-82)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1016/j.chb.2016.11.012
Ishfaq UKhan HIqbal K(2016)Modeling to find the top bloggers using Sentiment Features2016 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube)10.1109/ICECUBE.2016.7495229(227-233)Online publication date: Apr-2016
https://doi.org/10.1109/ICECUBE.2016.7495229
Wang X(2015)A network evolution model based on community structureNeurocomputing10.1016/j.neucom.2015.05.021168:C(1037-1043)Online publication date: 30-Nov-2015
https://dl.acm.org/doi/10.1016/j.neucom.2015.05.021
Lorentzen D(2014)Webometrics benefitting from web mining? An investigation of methods and applications of two research fieldsScientometrics10.1007/s11192-013-1227-x99:2(409-445)Online publication date: 9-Jan-2014
https://doi.org/10.1007/s11192-013-1227-x
Bronstein J(2013)Personal blogs as online presences on the internetAslib Proceedings10.1108/0001253131131398965:2(161-181)Online publication date: Feb-2013
https://doi.org/10.1108/00012531311313989
Kaiser CKröckel JBodendorf F(2013)Simulating the spread of opinions in online social networks when targeting opinion leadersInformation Systems and e-Business Management10.1007/s10257-012-0210-z11:4(597-621)Online publication date: 1-Dec-2013
https://dl.acm.org/doi/10.1007/s10257-012-0210-z
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