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  • 學位論文

基於同儕式網路之異質社群網路整合研究

P2P-iSN: A Peer-to-Peer Network for Integration of Heterogeneous Social Networks

指導教授 : 林風
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摘要


社群網路快速的發展吸引了學者研究和分析大量的社群網路資料,而異質社群網路也啟發學者發展出新的應用程式來整合不同社群網路資源,以提供更多社群網路服務。 本篇研究著重於社群關係整合上,我們使用同儕式網路架構來整合不同的社群網路關係,稱作(P2P-iSN)。在P2P-iSN上透過Global Relationship Model計算出使用者彼此在社群網路上的關係強度,並且根據關係強度我們提出(i-Search)機制尋找出一條有意義的社群關係路徑來連結任兩個使用者。 這些特點可用來開發出許多應用程式如信任模組以及社群資源分享,使我們更加了解使用者彼此在異質網路上的社群網路關係,並且能夠設計出更多以人為本的應用程式。

並列摘要


The unprecedented growth and influence of Social Network Sites (SNSs) have opened the possibility for researchers to explore an abundance of social and behavioral data. A landscape of heterogeneous SNSs further sparks research innovations to develop methods and applications that integrate resources and offer more seamless services across SNSs. Specifically aiming at the integration of social relations data, a much less studied subject, we propose a set of tools to aggregate social relations across multiple SNSs (P2P-iSN), calculate relationship strength between users (Global Relationship Model), and offer a social path that indicates how any two users are meaningfully connected in heterogeneous SNSs (i-Search mechanism). These key features allow for many future application developments, such as improved trust/prestige metrics and integrated content-sharing. With these tools that enhance our understanding of social relations in this heterogeneous SNS landscape, SNS developers can also design more user-centric applications and future SNS components.

參考文獻


[1] Bae, J. A Global Social Graph as a Hybrid Hypergraph. Proceedings of Fifth International Joint Conference on INC, IMS and IDC, pages 1025–1031, August 2009.
[2] Chang, N.B. and Liu, M. Controlled Flooding Search in a Large Network. IEEE/ACM Transactions on Networking, 15(2):436–449, April 2007.
[3] Ellison, N. and Boyd, D. Social Network Sites: definition, history, and scholarship.
Journal of Computer-Mediated Communication, 13(1):210–230, October 2007.
[4] Fu, H.-L., Chen, H.-C., Lin, P., and Fang, Y. Energy-Efficient Reporting Mechanisms for Multi-Type Real-time Monitoring in Machine-to-Machine Communications Networks. Proceedings of IEEE INFOCOM 2012 Conference, pages 136–144, March 2012.

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