項目詳細信息 Detalhes de Projeto

項目詳細信息
Detalhes de Projeto
檔案編號
No. de
Arquivo
039/2010/A
申請實體
項目負責人
項目名稱
Entidade Requerente
Responsável de Projeto
Designação de Projeto
澳門理工學院
鄧樹傑（原為王建陽）
線上社交網絡中的信息傳播與病
毒擴散
1. Background
Online social networks (OSNs) have attracted many researchers’ attention in these
years. They have studied the structure of some online social networks. Their results
showed that these networks have scale-free topologies. And similar to email networks,
they all have power-law degree distribution. However, with the development of online
social networks, more functions were added to these networks. One of them is to allow
users to form groups. The use of grouping will affect the characteristics of the structure
of online social network. And the characteristics are important to understand how
information or virus spread in the networks.
2. Direction
The direction of this project is to study the new characteristics that come along with the
recently added functions (e.g., group and communities) in OSNs, and study the
spreading of virus and malicious activities in Facebook.
項目摘要
Sumário de
Projeto
3. Main Content
The first task is to design and implement of a Web crawler for collect data in online
social networks. The second task is to study on the characteristics of the network using
group and to design a virus spreading model. Another task is to evaluate the information
and virus spreading condition through our self-developed Facebook app.
4. Significant results
After analyzing the sub-graph of Facebook, results show that groups on social network
services sites can assemble people with similar characteristics, which may promote
virus propagation in these networks.
Our analysis results also show that the use of groups can shorten the distance among
users, and hence it would cause faster virus spread.
According to our proposed virus propagation model, even with only one random attack,
a virus can still spread rapidly, and the direct contact among group members is the
reason for fast spreading.
Besides, we proposed countermeasures to the technical challenges when crawling the
networks in practice.
Finally, based on our experiments performed by our written Facebook app, it has been
shown that viruses and malwares can be spread fast by exploiting the trust and privacy
in online social networks.
5. Scientific significance
Most exiting structure models for social networks are using the scale-free network
model. However, in reality, many online social networks are more complicated (than the
commonly used scale-free model) and include the groups and communities concepts.
Therefore, the existing works merely using the scale-free models cannot present
accurate results.
The significance of this project is to take the groups and communities into account when
studying the structure of online social networks, which is able to reflect more accurately
the real-world situation.
On the other hand, whereas the virus propagation models for emails are available, its
counterpart for online social networks is not commonly seen. Another significance of
this project is to show how network structures affect virus spreading. This can help
improving the security of OSNs.
Besides, we proposed countermeasures to the technical challenges when crawling the
networks in practice, which will benefit the researchers in the field to perform future
social network analysis.
Finally, our experiments performed by our written Facebook app show that viruses and
malwares can be spread fast by exploiting the trust and privacy in online social
networks. This result could lead to social networks to enhance their privacy and security
measures.
結果被引
用或收錄
結果類型
結果名稱
主要完成者
Tipo de
Designação de
Agente
Resultado
Resultado
Principal
結果說明
Explicação de Resultado
情況
Situação de
Citação ou
Inclusão de
Resultado
Journal
Assembly effect of
W. Fan
Physica A: Statistical
Journal
Article
groups in online social
K. H. Yeung
Mechanics and its
Article
(SCI & EI)
networks
K. Y. Wong
Applications, 392(5):
(SCI & EI)
1090-1099
－Impact factor ranking: Top
33.7% in Physics,
Multidisciplinary
Journal
Design and
Chi-In Wong
Accepted to be published in
Journal
Article
Implementation of a
Kin-Yeung
WSEAS Transactions on
Article
(Accepted)
Crawler for Online
Wong
Communications.－
(Accepted)
Social Networks
Kuong-Wai Ng
Included in EI
Wei Fan
Kai-Hau Yeung
Magazine
Attacks by Exploiting
Kaze Wong
Accepted to be published in
Magazine
Article
Trust and Privacy in
Angus Wong
IEEE’s IT Professional
Article
(Accepted)
Online Social
Alan Yeung
Magazine.
(Accepted)
Wei Fan
－
Networks
Included in SCI
Su-Kit Tang
人才培養數目
博士或以上
碩士
學士或以下
Número de
Doutor ou mais
Mestrado
Licenciado ou menos
-
-
-
Formação de
Pessoais
研究結果
樣品
成品
產品
Resultado
Amostra
Obra Concluída
Produto
de Estudo
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*註︰
*Obs.:
(1)
由於申報獎勵、發表著作和申請專利需時，此項目可能還有一些成果未被列出，科學技術
發展基金將在收到新的成果資料後，進行更新。
(1)
Devido à necessidade de tempo para processar a publicação de obra e os requerimentos dos
prémios e de patente, alguns resultados podem ser não mostrados imediatamente na tabela, porém
o Fundo irá atualizar as informações de resultado após o seu recebimento.
(2)
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(2)
Para mais informações, pode contactar diretamente com a entidade do requerimento ou através do
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