WisColl: Collective wisdom based blog clustering

Agarwal, Nitin; Galan, Magdiel; Liu, Huan; Subramanya, Shankar

doi:10.1016/j.ins.2009.07.010

Cited by 39 publications

(14 citation statements)

References 19 publications

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“…One important opportunity in this process is to use web 2.0 tools in a participatory way to involve interesting potential contributors (in particular a broad variety of experts) and the other opportunity is to use them as fast expanding sources of structured information by clustering them. Clustering blog sites presents new challenges for information science (Agarwal et al 2010) as no tools are yet available. In addition, there is also the challenge of how to address and involve many individual contributors as well as to address a huge variety of specific communities and contributors.…”

Section: Comparative Analysis Of Methods and Tools Applied During Thementioning

confidence: 99%

On concepts and methods in horizon scanning: Lessons from initiating policy dialogues on emerging issues

Amanatidou

Butter²,

Carabias-Hütter

et al. 2012

Science and Public Policy

121

110

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Future-oriented technology analysis methods can play a significant role in enabling early warning signal detection and pro-active policy action which will help to better prepare policy-and decision-makers in today's complex and inter-dependent environments. This paper analyses the use of different horizon scanning approaches and methods as applied in the Scanning for Emerging Science and Technology Issues project. A comparative analysis is provided as well as a brief evaluation the needs of policy-makers if they are to identify areas in which policy needs to be formulated. This paper suggests that the selection of the best scanning approaches and methods is subject to contextual and content issues. At the same time, there are certain issues which characterise horizon scanning processes, methods and results that should be kept in mind by both practitioners and policy-makers.

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Section: Comparative Analysis Of Methods and Tools Applied During Thementioning

confidence: 99%

On concepts and methods in horizon scanning: Lessons from initiating policy dialogues on emerging issues

Amanatidou

Butter²,

Carabias-Hütter

et al. 2012

Science and Public Policy

121

110

View full text Add to dashboard Cite

show abstract

“…A large number of recent efforts have explored ways to predict content popularity, including for images [7,8,10,14,22,33], videos [26], GitHub repositories [5], blogs [1], memes [36], and tweets [18,19,25,28], by combing content features with user social features. In contrast to these prior work, which mainly focus on predicting a popularity score (e.g., number of shares) of the content, we aim to predict the entire content diffusion path through the social network, which is a much more challenging task.…”

Section: Related Workmentioning

confidence: 99%

Who Will Share My Image?

Singh

Xiao

et al. 2018

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining

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Content popularity prediction has been extensively studied due to its importance and interest for both users and hosts of social media sites like Facebook, Instagram, Twitter, and Pinterest. However, existing work mainly focuses on modeling popularity using a single metric such as the total number of likes or shares. In this work, we propose Diffusion-LSTM, a memory-based deep recurrent network that learns to recursively predict the entire diffusion path of an image through a social network. By combining user social features and image features, and encoding the diffusion path taken thus far with an explicit memory cell, our model predicts the diffusion path of an image more accurately compared to alternate baselines that either encode only image or social features, or lack memory. By mapping individual users to user prototypes, our model can generalize to new users not seen during training. Finally, we demonstrate our model's capability of generating diffusion trees, and show that the generated trees closely resemble ground-truth trees.

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“…A better understanding of the blogosphere can greatly facilitate the development of the Social Web to serve the needs of users, service providers, and advertisers. A prominent feature of the Social Web is that many enthusiastic bloggers voluntarily write, tag, and catalog their posts in order to reach the widest possible audience who will share their thoughts and appreciate their ideas [14].…”

Section: Related Workmentioning

confidence: 99%

Semantic Blog Based Supportive Learning System

Winster

Swamynathan

2012

2012 IEEE Fourth International Conference on Technology for Education

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Social networking plays a vital role in todays web. Users of the social network chat, discuss, entertain and watch personal contents in their favorite sites. Most of the users who use the social network are learners and they are very high in numbers. So, it will be an added advantage for the learners to learn from large community where the pool of content is available for learning. The content is available as a blog. Blogs are available in plenty. It becomes a tedious task for the learner to search and find the required content from the large collection of blogs. This work proposes a novel idea to use the social network for creation of blog content for group learning. It uses ontology for a specific subject to relate one blog with another blog. Blog posted for a particular title is related to the blogs of the same blogger or another blogger and it should be linked to the relevant blog. Blogger can also call for online discussion on a posted article which gives the clear picture about the understanding of the topic. Over and above the traditional learning system, a semantic blog based supportive learning system is introduced in this paper. The system yield high result if the user accepts the new learning method. High percentage of interest shown to discuss the topic and easy access and the availability of content is the added advantage.

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WisColl: Collective wisdom based blog clustering

Cited by 39 publications

References 19 publications

On concepts and methods in horizon scanning: Lessons from initiating policy dialogues on emerging issues

On concepts and methods in horizon scanning: Lessons from initiating policy dialogues on emerging issues

Who Will Share My Image?

Semantic Blog Based Supportive Learning System

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