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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guo, Ruocheng Shaabani, Elham Bhatnagar, Abhinav Shakarian, Paulo |
| Copyright Year | 2015 |
| Description | Author affiliation: Arizona State University Tempe, AZ (Guo, Ruocheng; Shaabani, Elham; Bhatnagar, Abhinav; Shakarian, Paulo) |
| Abstract | When a piece of information (microblog, photograph, video, link, etc.) starts to spread in a social network, an important question arises: will it spread to "viral" proportions — where "viral" is defined as an order-of-magnitude increase. However, several previous studies have established that cascade size and frequency are related through a power-law — which leads to a severe imbalance in this classification problem. In this paper, we devise a suite of measurements based on "structural diversity" — the variety of social contexts (communities) in which individuals partaking in a given cascade engage. We demonstrate these measures are able to distinguish viral from non-viral cascades, despite the severe imbalance of the data for this problem. Further, we leverage these measurements as features in a classification approach, successfully predicting microblogs that grow from 50 to 500 reposts with precision of 0.69 and recall of 0.52 for the viral class — despite this class comprising under 2% of samples. This significantly outperforms our baseline approach as well as the current state-of-the-art. Our work also demonstrates how we can tradeoff between precision and recall. |
| Starting Page | 1610 |
| Ending Page | 1613 |
| File Size | 560938 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450338547 |
| DOI | 10.1145/2808797.2809358 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-25 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | Context Social network services Impurities Current measurement MIMICs Entropy Cultural differences |
| Content Type | Text |
| Resource Type | Article |
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