2012 InformationProcessinginSocialNe

• (Chen, 2012) ⇒ Ming-Syan Chen. (2012). “Information Processing in Social Networks.” In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012). ISBN:978-1-4503-1462-6 doi:10.1145/2339530.2339747

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222012%22+Information+Processing+in+Social+Networks
• http://dl.acm.org/citation.cfm?id=2339530.2339747&preflayout=flat#citedby

Quotes

Author Keywords

• Data mining; recommendation systems; social network

Abstract

In the current social network, a user may have hundreds of friends and find it very time consuming to categorize and tag every friend manually. When a user is going to initiate an activity by issuing a corresponding query, he / she needs to consider the relationship among candidate attendees to find a group of mutually close friends. Meanwhile, he / she also needs to consider the schedule of candidate attendees to find an activity period available for all attendees. It would certainly be desirable if the efficiency of such process is improved. In this talk, information processing in social networks will first be reviewed in three phrases, namely (i) from content to social relationship, (ii) mining on social relationship, and (iii) from social relationship to content organization. In addition, we shall present an effective procedure which helps a user to organize an event with proper attendees with minimum total social distance and commonly available time. Moreover, it is noted that the information retrieved from the social networks is also able to facilitate those user-dependent and human-centric services. In light of this, we shall explore the quality of recommendation through incorporating the notion of social filtering and collaborative filtering. Finally, it is recognized that the cloud computing has offered many new capabilities of storing and processing huge amounts of heterogeneous data in social networks. In view of this, we shall also examine how this paradigm shift will affect the information processing in social networks.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2012 InformationProcessinginSocialNe	Ming-Syan Chen			Information Processing in Social Networks				10.1145/2339530.2339747		2012