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Discovering Important Bloggers based on Analyzing Blog Threads

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TLDR
Models of blogs and blog thread data, and methods of extracting blog threads, discovering important bloggers, and acquiring important content from their entries are discussed.
Abstract
A blog (weblog) lets people promptly publish content (such as comments) relating to other blogs through hyperlinks. This type of web content can be considered as a conversation rather than a collection of archived document. To capture ’hot’ conversation topics from blogs and deliver them to users in a timely manner, we propose a method of discovering bloggers who take an important role in conversations. We characterize bloggers based on their roles in previous blog threads (a set of blog entries comprises a conversation),. We provide several definitions of bloggers’ roles including (1) agitators who stimulate discussion, and (2) summarizers who provide summaries of the discussion. We consider that these bloggers are likely to be useful in identifying hot conversations. In this paper, we discuss models of blogs and blog thread data, and methods of extracting blog threads, discovering important bloggers, and acquiring important content from their entries.

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Citations
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Web Content Analysis: Expanding the Paradigm

TL;DR: An expanded Web Content Analysis (WebCA) paradigm is proposed, in which insights from paradigms such as discourse analysis and social network analysis are operationalized and implemented within a general content analytic framework.
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Modeling and Predicting the Helpfulness of Online Reviews

TL;DR: This paper shows that the helpfulness of a review depends on three important factors: the reviewerpsilas expertise, the writing style of the review, and the timeliness of thereview, and presents a nonlinear regression model for helpfulness prediction.
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Identifying opinion leaders in the blogosphere

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Posted Content

User-centric Innovations in New Product Development — Systematic Identification of Lead Users Harnessing Interactive and Collaborative Online-tools

TL;DR: Research into online communities and weblogs scrutinised the search criteria in an online environment and revealed the following characteristics as crucial factors for the online identification of lead users: being ahead of a market trend, high expected benefits, user expertise and motivation, extreme user needs as well as opinion leadership and an online commitment.
Journal ArticleDOI

User-centric innovations in new product development — systematic identification of lead users harnessing interactive and collaborative online-tools

TL;DR: In this paper, the authors conducted a research into online communities and weblogs scrutinised the search criteria in an online environment and revealed the following characteristics as crucial factors for the online identification of lead users: being ahead of a market trend, high expected benefits, user expertise and motivation, extreme user needs as well as opinion leadership and an online commitment.
References
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Journal ArticleDOI

Information diffusion through blogspace

TL;DR: A macroscopic characterization of topic propagation through the authors' corpus, formalizing the notion of long-running "chatter" topics consisting recursively of "spike" topics generated by outside world events, or more rarely, by resonances within the community.
Proceedings ArticleDOI

Information diffusion through blogspace

TL;DR: A macroscopic characterization of topic propagation through the authors' corpus is presented, formalizing the notion of long-running "chatter" topics consisting recursively of "spike" topics generated by outside world events, or more rarely, by resonances within the community.
Proceedings ArticleDOI

On the bursty evolution of blogspace

TL;DR: This work defines time graphs to extend the traditional notion of an evolving directed graph, capturing link creation as a point phenomenon in time, and develops definitions and algorithms for time-dense community tracking, to crystallize the notion of community evolution.

Implicit Structure and the Dynamics of Blogspace

Eytan Adar
TL;DR: This paper describes general categories of information epidemics and creates a tool to infer and visualize the paths specific infections take through the network, using a novel utilization of data describing historical, repeating patterns of infection.
Book

Topic Detection and Tracking

TL;DR: This chapter defines the basic concepts of TDT and provides historical context for the concepts and provides an overview of the technical approaches that have been used and that have succeeded.
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