By Jinguo You, Qiuping Pan, Wei Shi, Zhipeng Zhang, Jianhua Hu (auth.), Shuigeng Zhou, Zhiang Wu (eds.)
This booklet constitutes the refereed complaints of the ADMA 2012 Workshops: The foreign Workshop on Social community research and Mining, SNAM 2012, and the foreign Workshop on Social Media Mining, Retrieval and suggestion applied sciences, SMR 2012, Nanjing, China, in December 2012. The 15 revised complete papers provided have been conscientiously reviewed and chosen from a variety of submissions. The papers are equipped in topical sections on networks and graphs processing; social internet; social info diffusion; social snapshot retrieval and visualization.
Read Online or Download Social Media Retrieval and Mining: ADMA 2012 Workshops, SNAM 2012 and SMR 2012, Nanjing, China, December 15-18, 2012. Revised Selected Papers PDF
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Additional resources for Social Media Retrieval and Mining: ADMA 2012 Workshops, SNAM 2012 and SMR 2012, Nanjing, China, December 15-18, 2012. Revised Selected Papers
Sample text
If any source node S wants to build a special path to the destination D, then S sends the request to D and along with the request the policies required for the new path are sent. When D receives the request from S, D generates a nickname D’ for itself and sends D’ back to S. OIPBP: On-Demand Interdomain Path Building Protocol 4. 5. 6. 7. 47 After sending D’ to S, D generates a new P-BGP process with the destination address D’, and transform the policies received from S into the S_P items of the routing advertisements.
In: OSDI 04: Proceedings of the 6th Conference on Symposium on Opearting Systems Design and Implementation (2004) 2. : iMapReduce: a distributed computing framework for iterative computation 3. : HaLoop: efficient iterative data processing on large clusters. Proc. VLDB Endownment 3(1), 285–296 (2010) 4. : Asynchronous algorithm in MapReduce. In: 2010 IEEE International Conference on Cluster Computing 5. : Graph twiddling in a MapReduce world. Comput. Sci. Eng. 11(4), 29–41 (2009) 6. : Fast personalized PageRank on MapReduce.
A P-BGP convergence process whose S_P policy items are empty. This convergence process is the same as current BGP since all the routing advertisements do not include S_P policies. After the P-BGP process converges, the source node and the destination node are reachable. If any source node S wants to build a special path to the destination D, then S sends the request to D and along with the request the policies required for the new path are sent. When D receives the request from S, D generates a nickname D’ for itself and sends D’ back to S.
