Mining Human Mobility in Location-Based Social Networks:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Morgan & Claypool Publishers
[2015]
|
| Series: | Synthesis lectures on data mining and knowledge discovery
11 |
| Subjects: | |
| Online Access: | FWS01 FWS02 Inhaltsverzeichnis |
| Physical Description: | 1 Online-Ressource (XVI, 98 Seiten) |
| ISBN: | 9781627054133 9781627054126 |
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| adam_text | Titel: Mining human mobility in location-based social networks
Autor: Gao, Huiji
Jahr: 2015
Contents
Acknowledgments...................................................xi
Figure Credits.....................................................xiii
1 Introduction.......................................................1
1.1 Human Mobility Behavior...........................................1
1.1.1 Location, Location, Location...................................1
1.1.2 Inferring Human Lifestyles through Locations.....................2
1.1.3 Mining Human Mobility with Cellphone Data.....................2
1.2 Location-Based Social Networks......................................3
1.2.1 Location-Based Social Networking Services.......................4
1.2.2 Real World vs. Virtual World...................................5
1.2.3 WA Information Layout.......................................5
1.3 Computational Tasks...............................................7
1.3.1 Research and Application Opportunities..........................7
1.3.2 Human Mobility: Repetitive vs. Cold-Start.......................12
2 Analyzing LBSN Data..............................................15
2.1 A Check-in Example..............................................15
2.2 Structure of LBSN Data ...........................................16
2.3 Data Properties...................................................17
2.3.1 Socio-Spatial Properties......................................17
2.3.2 Large-Scale and Sparse Data..................................18
2.3.3 Semantic Indication.........................................20
2.4 Mobility Patterns.................................................20
2.4.1 Inverse Distance Rule........................................22
2.4.2 Levy Flight of Check-ins.....................................24
2.4.3 Power-Law Distribution and Short-Term Effect...................24
2.4.4 Temporal Periodic Patterns....................................26
2.4.5 Multi-center Check-in Distribution.............................27
3 Returning to Visited Locations.......................................33
3.1 Next Location Prediction...........................................33
3.1.1 Sequential Patterns..........................................33
3.1.2 Temporal Dynamics.........................................38
3.1.3 Social Correlations..........................................44
3.1.4 Hybrid Models.............................................48
3.2 Home Location Prediction .........................................51
3.2.1 Content-Based Prediction ....................................51
3.2.2 Network-Based Prediction....................................53
3.3 Evaluation Metrics.....................................:..........54
3.4 Summary .......................................................55
4 Finding New Locations to Visit.......................................57
4.1 Recommender Systems ............................................57
4.1.1 Check-in Data Representation.................................57
4.1.2 Memory-Based Collaborative Filtering..........................59
4.1.3 Model-Based Collaborative Filtering............................62
4.2 Location Recommendation with LBSNs ..............................68
4.2.1 Geographical Influence.......................................69
4.2.2 Social Correlations..........................................71
4.2.3 Temporal Patterns...........................................72
4.2.4 Content Indications .........................................75
4.2.5 Hybrid Models.............................................76
4.3 Evaluation Metrics................................................79
4.4 Summary.......................................................80
5 Epilogue .........................................................83
5.1 Location Privacy..................................................83
5.2 LBSN Data Sufficiency and Reliability................................84
5.3 Connecting Visited Locations and New Locations ....................85
5.4 Future Directions.................................................85
Bibliography......................................................87
Authors Biographies ...............................................99
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| discipline | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik Wirtschaftswissenschaften |
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| id | DE-604.BV043519587 |
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| indexdate | 2025-02-20T06:53:02Z |
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| isbn | 9781627054133 9781627054126 |
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| physical | 1 Online-Ressource (XVI, 98 Seiten) |
| psigel | ZDB-38-EBR |
| publishDate | 2015 |
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| publishDateSort | 2015 |
| publisher | Morgan & Claypool Publishers |
| record_format | marc |
| series | Synthesis lectures on data mining and knowledge discovery |
| series2 | Synthesis lectures on data mining and knowledge discovery |
| spellingShingle | Gao, Huiji Liu, Huan Mining Human Mobility in Location-Based Social Networks Synthesis lectures on data mining and knowledge discovery Mobile Telekommunikation (DE-588)4341131-9 gnd Standortbezogener Dienst (DE-588)4737525-5 gnd Empfehlungssystem (DE-588)7511891-9 gnd |
| subject_GND | (DE-588)4341131-9 (DE-588)4737525-5 (DE-588)7511891-9 |
| title | Mining Human Mobility in Location-Based Social Networks |
| title_auth | Mining Human Mobility in Location-Based Social Networks |
| title_exact_search | Mining Human Mobility in Location-Based Social Networks |
| title_full | Mining Human Mobility in Location-Based Social Networks Huiji Gao (LinkedIn), Hun Liu (Arizona State University) |
| title_fullStr | Mining Human Mobility in Location-Based Social Networks Huiji Gao (LinkedIn), Hun Liu (Arizona State University) |
| title_full_unstemmed | Mining Human Mobility in Location-Based Social Networks Huiji Gao (LinkedIn), Hun Liu (Arizona State University) |
| title_short | Mining Human Mobility in Location-Based Social Networks |
| title_sort | mining human mobility in location based social networks |
| topic | Mobile Telekommunikation (DE-588)4341131-9 gnd Standortbezogener Dienst (DE-588)4737525-5 gnd Empfehlungssystem (DE-588)7511891-9 gnd |
| topic_facet | Mobile Telekommunikation Standortbezogener Dienst Empfehlungssystem |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028935555&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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