On Popularity in the Blogosphere

  title={On Popularity in the Blogosphere},
  author={Marcos Andr{\'e} Gonçalves and Jussara M. Almeida and Luiz G. P. dos Santos and Alberto H. F. Laender and Virg{\'i}lio A. F. Almeida},
  journal={IEEE Internet Computing},
The blogosphere's more outgoing and informal social nature provides an opportunity to exploit more socially oriented features, such as credibility and popularity, for searching, recommendation, and other tasks. In this article, the authors present evidence that blog popularity in particular has been underexploited by current search engines, including specialized ones, and that a low correlation exists between such popularity and a blog's perceived importance in a Web graph, as measured by… 

Figures and Tables from this paper

Predicting the popularity of web 2.0 items based on user comments

By modeling comments as a time-aware bipartite graph, this work proposes a regularization-based ranking algorithm that accounts for temporal, social influence and current popularity factors to predict the future popularity of items.

Incorporating information quality criteria in Blog search engine

Methods that consider quality and relevancy in search engine are explained, which show the importance of search engine on Weblog, so the authors need to search engine that retrieve high quality and relevance page.

Weblog search engine based on quality criteria

The nature of blogs, which are usually characterized by their personal and informal nature, dynamically and constructed on the new relational links required new quality measurement for blog search engine, and it was expected that incorporated the special blogs quality criteria would be more desirably retrieved by search engines.

A survey on predicting the popularity of web content

The different popularity prediction models are described, the features that have shown good predictive capabilities are presented, and factors known to influence web content popularity are revealed.

Using early view patterns to predict the popularity of youtube videos

These proposed models lead to significant decreases in relative squared errors, reaching up to 20% reduction on average, and larger reductions for videos that experience a high peak in popularity in their early days followed by a sharp decrease in popularity.

Trust in product review blogs: the influence of self-disclosure and popularity

This research confirms the positive influences of product evaluation self-disclosures and popularity on readers' cognitive trust and of social self- Disclosures on readers', and offers suggestions for bloggers and companies that use blogs as marketing tools.

The tube over time: characterizing popularity growth of youtube videos

This work characterize the growth patterns of video popularity on the currently most popular video sharing application, namely YouTube, and shows that copyright protected videos tend to get most of their views much earlier in their lifetimes, often exhibiting a popularity growth characterized by a viral epidemic-like propagation process.

Predicting Key Events in the Popularity Evolution of Online Information

This paper considers the “burst’, “peak”, and “fade” key events together as a representative summary of popularity evolution as a novel prediction task—predicting when popularity undergoes these key events.



Utilizing Social Relationships for Blog Popularity Mining

A blog network model based on the interconnection structure between blogs and a popularity ranking method, called BRank, on the constructed model are proposed and experiments show that the proposed method could detect blogs with great popularity in the blogosphere.

BlogRank: ranking weblogs based on connectivity and similarity features

This work presents a method for ranking weblogs utilizing both link graph and similarity, and based on an enhanced and weighted graph of weblogs capturing crucial weblog features, which is a modified version of PageRank.

A Study of Online (Digital) Reputation in Blogosphere based on Relationship and Activity

The proposed reputation model in blogosphere that rely on relationship among people and activity of bloggers is implemented and it is used to analyze the blog in Korea consisting of thousand pages, showing that the notion of reputation has good predictive value.

Socialtagger - collaborative tagging for blogs in the long tail

This work proposes and implements a system to automatically recommend collaborative tags for a blog, which will help to surface the blogs by making them available on social book marking sites and allow them to be easily discovered and potentially further tagged by a wider population.

Using Tags and Clustering to Identify Topic-Relevant Blogs

It is demonstrated how tags provide useful, discriminating information where the blog corpus is initially partitioned using a conventional clustering technique, and concluded that tags have a key auxiliary role in refining and confirming the information produced using typical knowledge discovery techniques.

New metrics for blog mining

New metrics related for blog entry relevance, specificity, timeliness and credibility that are implementing in a blog search and analysis tool for international blogs are offered.

Traffic Characteristics and Communication Patterns in Blogosphere

A thorough characterization of the access patterns in blogspace, which comprises a rich interconnected web of blog postings and comments by an increasingly prominent user community that collectively define what has become known as the blogosphere, shows that the nature of interactions between users and objects is fundamentally different in blogosphere than that observed in traditional web content.

Optimizing web search using social annotations

Preliminary experimental results show that SSR can find the latent semantic association between queries and annotations, while SPR successfully measures the quality of a webpage from the web users' perspective.

Blogosphere: research issues, tools, and applications

Various state-of-the-art research issues are introduced, some key elements of research such as tools and methodologies in Blogosphere are reviewed, and a case study of identifying the influential bloggers in a community is presented to exemplify the integration of some major aspects discussed in this paper.

Characterizing the Splogosphere

This work characterize splogs by comparing them against au- thentic blogs, and employs a machine learn- ing model that detects splogs with an accuracy of 90%.