| 000 | 02580cam a22002655a 4500 | ||
|---|---|---|---|
| 999 |
_c31692 _d31692 |
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| 001 | OCM1ssib027464217 | ||
| 020 | _a9783319510491 | ||
| 020 | _a9783319510484 | ||
| 082 | _a006.312 PR ED | ||
| 245 | 0 | 0 |
_aPrediction and inference from social networks and social media _cedited by Jalal Kawash, Nitin Agarwal, Tansel Ozyer |
| 260 |
_aCham : _bSpringer International Publishing, _cc2017. |
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| 300 |
_aix, 225 p. : _bill. ; _c25 cm. |
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| 490 |
_aLecture Notes in Social Networks, _x2190-5428. |
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| 505 | 0 | _aChapter1. Having Fun?: Personalized Activity-based Mood Prediction in Social Media -- Chapter2. Automatic Medical Image Multilingual Indexation through a Medical Social Network -- Chapter3. The Significant Effect of Overlapping Community Structures in Signed Social Networks -- Chapter4. Extracting Relations Between Symptoms by Age-Frame Based Link Prediction -- Chapter5. Link Prediction by Network Analysis -- Chapter6. Structure-Based Features for Predicting the Quality of Articles in Wikipedia -- Chapter7. Predicting Collective Action from Micro-Blog Data -- Chapter8. Discovery of Structural and Temporal Patterns in MOOC Discussion Forums -- Chapter9. Diffusion Process in a Multi-Dimension Networks: Generating, Modelling and Simulation. | |
| 520 | _aThis book addresses the challenges of social network and social media analysis in terms of prediction and inference. The chapters collected here tackle these issues by proposing new analysis methods and by examining mining methods for the vast amount of social content produced. Social Networks (SNs) have become an integral part of our lives; they are used for leisure, business, government, medical, educational purposes and have attracted billions of users. The challenges that stem from this wide adoption of SNs are vast. These include generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, and behavior detection. This text has applications to widely used platforms such as Twitter and Facebook and appeals to students, researchers, and professionals in the field. | ||
| 650 | 0 |
_aComputer science _9898 |
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| 650 | 0 |
_aData mining _9312 |
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| 650 | 0 |
_aUser interfaces (Computer systems) _92391 |
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| 650 | 0 |
_aComputers and civilization _92393 |
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| 700 | 1 |
_aKawash, Jalal, _eEdited by _939108 |
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| 700 | 1 |
_aAgarwal, Nitin, _eEdited by _939109 |
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| 700 | 1 |
_aOzyer, Tansel, _eEdited by _939110 |
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| 856 |
_uhttps://uowd.box.com/s/vputfhdosh2virihawmxbswm3z4qgk21 _zLocation Map |
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| 942 |
_2ddc _cREGULAR |
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