HotSocial 2012: First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research August 12, 2012, Beijing, China (in conjunction with ACM KDD 2012, August 12-16, 2012) http://user.informatik.uni-goettingen.de/~fu/hotsocial/
Important Dates:
Deadline for submissions: May 9, 2012 (11:59 PM, EST)
Notification of acceptance: June 1, 2012
Camera-ready version: June 12, 2012
HotSocial Workshop Day: Aug 12, 2012
From the post:
Among the fundamental open questions are:
- How to access social networks data? Different communities have different means, each with pros and cons. Experience exchanges from different communities will be beneficial.
- How to protect these data? Privacy and data protection techniques considering social and legal aspects are required.
- How the complex systems and graph theory algorithms can be used for understanding social networks? Interdisciplinary collaboration are necessary.
- Can social network features be exploited for a better computing and social network system design?
- How do online social networks play a role in real-life (offline) community forming and evolution?
- How does the human mobility and human interaction influence human behaviors and thus public health? How can we develop methodologies to investigate the public health and their correlates in the context of the social networks?
Topics of Interest:
Main topics of this workshop include (but are not limited to) the following:
- methods for accessing social networks (e.g., sensor nets, mobile apps, crawlers) and bias correction for use in different communities (e.g., sociology, behavior studies, epidemiology)
- privacy and ethic issues of data collection and management of large social graphs, leveraging social network properties as well as legal and social constraints
- application of data mining and machine learning in the context of specific social networks
- information spread models and campaign detection
- trust and reputation and community evolution in the online and offline interacted social networks, including the presence and evolution of social identities and social capital in OSNs
- understanding complex systems and scale-free networks from an interdisciplinary angle
- interdisciplinary experiences and intermediate results on social network research
Sounds relevant to the “big data” stuff of interest to the White House.
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