International Journal of Networked and Distributed Computing

Volume 1, Issue 3, July 2013, Pages 167 - 173

Efficient Keyword-Related Data Collection in a Social Network with Weighted Seed Selection

Authors
Changhyun Byun, Hyeoncheol Lee, Jongsung You, Yanggon Kim
Corresponding Author
Changhyun Byun
Available Online 1 July 2013.
DOI
https://doi.org/10.2991/ijndc.2013.1.3.5How to use a DOI?
Keywords
social networks; twitter; seed analysis; initial nodes; crawling; presidential election 2012
Abstract
Data mining in a social network can yield interesting perspectives to understanding human behavior or detecting topics or communities. However, it is difficult to gather the data related to a specific topic due to the main characteristics of social media data: large, noisy, and dynamic. To collect the data related to a specific topic efficiently, we propose a new algorithm that selects better seeds with limited resources. Furthermore, we compare two data sets collected by the algorithm and existing approaches.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Networked and Distributed Computing
Volume-Issue
1 - 3
Pages
167 - 173
Publication Date
2013/07
ISSN (Online)
2211-7946
ISSN (Print)
2211-7938
DOI
https://doi.org/10.2991/ijndc.2013.1.3.5How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Changhyun Byun
AU  - Hyeoncheol Lee
AU  - Jongsung You
AU  - Yanggon Kim
PY  - 2013
DA  - 2013/07
TI  - Efficient Keyword-Related Data Collection in a Social Network with Weighted Seed Selection
JO  - International Journal of Networked and Distributed Computing
SP  - 167
EP  - 173
VL  - 1
IS  - 3
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2013.1.3.5
DO  - https://doi.org/10.2991/ijndc.2013.1.3.5
ID  - Byun2013
ER  -