Leveraging Rating Behavior to Predict Negative Social Ties
User social networks are a useful information for many information access related tasks, such as recommendation or information retrieval. In such tasks, recent papers have exploited the polarity of these links (friend/enemy) by capturing more precisely ...
Improving Information Spread through a Scheduled Seeding Approach
One highly studied aspect of social networks is the identification of influential nodes that can spread ideas in a highly efficient way. The vast majority of works in this field have investigated the problem of identifying a set of nodes, that if "...
From Coincidence to Purposeful Flow? Properties of Transcendental Information Cascades
In this paper, we investigate a method for constructing cascades of information co-occurrence, which is suitable to trace emergent structures in information in scenarios where rich contextual features are unavailable. Our method relies only on the ...
Finding the Right Social Media Site for Questions
Social media has become a part of our daily life and we use it for many reasons. One of its uses is to get our questions answered. Given a multitude of social media sites, however, one immediate challenge is to pick the most relevant site for a ...
Characterization of Cross-posting Activity for Professional Users Across Major OSNs
Online Social Networks (OSNs) are being intensively used by professional users (e.g., companies, politician, athletes, celebrities, etc) in order to interact with a huge amount of regular OSN users with different purposes (marketing campaigns, customer ...
Index Terms
- Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
ASONAM '23 | 145 | 53 | 37% |
ASONAM '21 | 118 | 22 | 19% |
ASONAM '19 | 286 | 41 | 14% |
Overall | 549 | 116 | 21% |