Author image not provided
 Luca Pappalardo

Authors:
Add personal information
  Affiliation history
Bibliometrics: publication history
Average citations per article1.00
Citation Count9
Publication count9
Publication years2012-2017
Available for download3
Average downloads per article63.33
Downloads (cumulative)190
Downloads (12 Months)90
Downloads (6 Weeks)51
SEARCH
ROLE
Arrow RightAuthor only


AUTHOR'S COLLEAGUES
See all colleagues of this author




BOOKMARK & SHARE


9 results found Export Results: bibtexendnoteacmrefcsv

Result 1 – 9 of 9
Sort by:

1 published by ACM
December 2017 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 9 Issue 3, January 2018
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 46,   Downloads (12 Months): 46,   Downloads (Overall): 46

Full text available: PDFPDF
Human mobility data are an important proxy to understand human mobility dynamics, develop analytical services, and design mathematical models for simulation and what-if analysis. Unfortunately mobility data are very sensitive since they may enable the re-identification of individuals in a database. Existing frameworks for privacy risk assessment provide data providers ...
Keywords: Human mobility, data mining, privacy

2
August 2017 Machine Learning: Volume 106 Issue 8, August 2017
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0

Community discovery has emerged during the last decade as one of the most challenging problems in social network analysis. Many algorithms have been proposed to find communities on static networks, i.e. networks which do not change in time. However, social networks are dynamic realities (e.g. call graphs, online social networks): ...
Keywords: Dynamic networks, Community discovery, Social network analysis

3
October 2015 BIG DATA '15: Proceedings of the 2015 IEEE International Conference on Big Data (Big Data)
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 3

Big Data offer nowadays the potential capability of creating a digital nervous system of our society, enabling the measurement, monitoring and prediction of relevant aspects of socio-economic phenomena in quasi real time. This potential has fueled, in the last few years, a growing interest around the usage of Big Data ...

4 published by ACM
August 2015 ASONAM '15: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 4,   Downloads (12 Months): 32,   Downloads (Overall): 78

Full text available: PDFPDF
Traditional approaches to user engagement analysis focus on individual users. In this paper we address user engagement analysis at the level of groups of users (social communities). From the entire Skype social network we extract communities by means of representative community detection methods each one providing node partitions having their ...

5
December 2013 ICDMW '13: Proceedings of the 2013 IEEE 13th International Conference on Data Mining Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

The recent emergence of the so called online social fitness constitutes a good proxy to study the patterns underlying success in sport. Through these platforms, users can collect, monitor and share with friends their sport performance, diet, and even burned calories, giving an unprecedented opportunity to answer very fascinating questions: ...
Keywords: science of success, sport data mining

6
December 2013 ICDMW '13: Proceedings of the 2013 IEEE 13th International Conference on Data Mining Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

The recent emergence of the so called online social fitness constitutes a good proxy to study the patterns underlying success in sport. Through these platforms, users can collect, monitor and share with friends their sport performance, diet, and even burned calories, giving an unprecedented opportunity to answer very fascinating questions: ...
Keywords: science of success, sport data mining

7
November 2013 SocInfo 2013: Proceedings of the 5th International Conference on Social Informatics - Volume 8238
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

One classic problem definition in social network analysis is the study of diffusion in networks, which enables us to tackle problems like favoring the adoption of positive technologies. Most of the attention has been turned to how to maximize the number of influenced nodes, but this approach misses the fact ...

8
September 2013 BRICS-CCI-CBIC '13: Proceedings of the 2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

In the last years, the emergence of big data led scientists from diverse disciplines toward the study of the laws underlying human mobility. Although these recent discoveries have shed light on very interesting and fascinating aspects about people movements, they are generally focused on global and general mobility patterns. For ...
Keywords: human mobility, complex systems

9
August 2012 ASONAM '12: Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 1,   Downloads (12 Months): 12,   Downloads (Overall): 66

Full text available: PDFPDF
The advent of social media have allowed us to build massive networks of weak ties: acquaintances and nonintimate ties we use all the time to spread information and thoughts. Conversely, strong ties are the people we really trust, people whose social circles tightly overlap with our own and, often, they ...
Keywords: Multidimensional Social Networks, Link Mining, Tie Strength



The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2018 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us