Ángel Cuevas
Ángel Cuevas

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Bibliometrics: publication history
Average citations per article2.19
Citation Count70
Publication count32
Publication years2007-2019
Available for download16
Average downloads per article179.00
Downloads (cumulative)2,864
Downloads (12 Months)386
Downloads (6 Weeks)51
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32 results found Export Results: bibtexendnoteacmrefcsv

Result 1 – 20 of 32
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1 published by ACM
May 2019 WWW '19: The World Wide Web Conference
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 15,   Downloads (12 Months): 120,   Downloads (Overall): 120

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Invalid ad traffic is an inherent problem of programmatic advertising that has not been properly addressed so far. Traditionally, it has been considered that invalid ad traffic only harms the interests of advertisers, which pay for the cost of invalid ad impressions while other industry stakeholders earn revenue through commissions ...

2
August 2018 SEC'18: Proceedings of the 27th USENIX Conference on Security Symposium
Publisher: USENIX Association
Bibliometrics:
Citation Count: 0

The recent European General Data Protection Regulation (GDPR) restricts the processing and exploitation of some categories of personal data (health, political orientation, sexual preferences, religious beliefs, ethnic origin, etc.) due to the privacy risks that may result from malicious use of such information. The GDPR refers to these categories as ...

3 published by ACM
November 2017 HotNets-XVI: Proceedings of the 16th ACM Workshop on Hot Topics in Networks
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 6,   Downloads (12 Months): 62,   Downloads (Overall): 194

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For many years, the research community, practitioners, and regulators have used myriad methods and tools to understand the complex structure and behavior of ISPs from the edge of the network. Unfortunately, the nature of these techniques forces the researcher to find a balance between ISP-coverage, user scale, and accuracy. In ...
Keywords: Advertising measurements, Internet measurements

4 published by ACM
May 2017 CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 12,   Downloads (12 Months): 82,   Downloads (Overall): 339

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The OECD, the European Union and other public and private initiatives are claiming for the necessity of tools that create awareness among Internet users about the monetary value associated to the commercial exploitation of their online personal information. This paper presents the first tool addressing this challenge, the Facebook Data ...
Keywords: FDVT, data valuation, facebook, personal data, privacy

5 published by ACM
November 2016 HotNets '16: Proceedings of the 15th ACM Workshop on Hot Topics in Networks
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 5,   Downloads (12 Months): 30,   Downloads (Overall): 189

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The reported lack of transparency of the online advertising market may seriously affect the interests of advertisers. In this paper, we present a novel methodology that allows advertisers to independently assess the quality of display advertising campaigns. This methodology also serves to audit the accuracy and completeness of reports delivered ...

6
CSD
July 2016 Expert Systems with Applications: An International Journal: Volume 53 Issue C, July 2016
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 1

Define a metric CSD to estimate interest similarity degree of users in a community.Reveal CSD's characteristics based on 3460 emulated on a large Facebook dataset.Verify the efficacy of CSD for community selection in community recommendation. Communities are basic components in networks. As a promising social application, community recommendation selects a ...
Keywords: Community recommendation, Community selection, Community similarity degree, Online social network

7
June 2016 IEEE/ACM Transactions on Networking (TON): Volume 24 Issue 3, June 2016
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 16,   Downloads (Overall): 59

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In the era when Facebook and Twitter dominate the market for social media, Google has introduced Google+ (G+) and reported a significant growth in its size while others called it a ghost town. This begs the question of whether G+ can really attract a significant number of connected and active ...
Keywords: Google+, characterization, evolution, measurements, online social networks

8 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): 1,   Downloads (12 Months): 2,   Downloads (Overall): 39

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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 feedback, public reputation, etc). Hence, due to the large catalog of existing OSNs, professional users ...

9
January 2015 Decision Support Systems: Volume 69 Issue C, January 2015
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 3

Understanding how much two individuals are alike in their interests (i.e., interest similarity) has become virtually essential for many applications and services in Online Social Networks (OSNs). Since users do not always explicitly elaborate their interests in OSNs like Facebook, how to determine users' interest similarity without fully knowing their ...
Keywords: Interest similarity, Homophily, Prediction model, Social networks

10
November 2014 Future Generation Computer Systems: Volume 40, November, 2014
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 1

Content discovery is a critical issue in unstructured Peer-to-Peer (P2P) networks as nodes maintain only local network information. However, similarly without global information about human networks, one still can find specific persons via his/her friends by using social information. Therefore, in this paper, we investigate the problem of how social ...
Keywords: Content discovery, Similarity, Knowledge, Social P2P

11
August 2014 ASONAM '14: Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Publisher: IEEE Press
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1,   Downloads (12 Months): 8,   Downloads (Overall): 10

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This paper presents a comprehensive empirical study on the correlations between users' interest similarity and various social features across three interest domains (i.e., movie, music and TV). This study relies on a large dataset, containing 479, 048 users and 5, 263, 351 user-generated interests, captured from Facebook. We identify the ...

12
February 2014 Computer Networks: The International Journal of Computer and Telecommunications Networking: Volume 59, February, 2014
Publisher: Elsevier North-Holland, Inc.
Bibliometrics:
Citation Count: 1

In this paper we conduct a large scale measurement study in order to analyse the fake content publishing phenomenon in the BitTorrent ecosystem. Our results reveal that fake content represents an important portion (35%) of those files shared in BitTorrent and just a few tens of users are responsible for ...
Keywords: BitTorrent, Malware distribution, Peer-to-peer networking

13
February 2014 Personal and Ubiquitous Computing: Volume 18 Issue 2, February 2014
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 8,   Downloads (Overall): 161

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Twitter is one of the most popular applications in the current Internet with more than 500 M registered users across the world. In this paper, we conduct a comprehensive analysis to understand the geographical characteristics of Twitter using cross-community mining techniques. Specifically, we study the locality level shown by the ...
Keywords: User behavior, Locality, Geographical communities, Measurements, Twitter

14
January 2014 Wireless Networks: Volume 20 Issue 1, January 2014
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 2

Data-Centric Storage (DCS) appears as a novel information storage and delivery mechanism for Wireless Sensor and Actor Networks in which a rendezvous node (home node) is selected to store and serve all the information of a particular application. However, DCS was not designed to provide long-term data availability. In this ...
Keywords: Data availability, Data-Centric Storage (DCS), Epoch, Wireless Sensor and Actor Network (WSAN)

15 published by ACM
December 2013 ACM Transactions on Sensor Networks (TOSN): Volume 10 Issue 1, November 2013
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 0,   Downloads (12 Months): 2,   Downloads (Overall): 141

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This article presents a novel framework for data-centric storage (DCS) in a wireless sensor and actor network (WSAN) that employs a randomly selected set of data replication nodes, which also change over time. This enables reductions in the average network traffic and energy consumption by adapting the number of replicas ...
Keywords: Wireless sensor and actor network (WSAN), data-centric storage (DCS), epoch, optimization, random replication

16 published by ACM
November 2013 PE-WASUN '13: Proceedings of the 10th ACM symposium on Performance evaluation of wireless ad hoc, sensor, & ubiquitous networks
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 13,   Downloads (Overall): 149

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This paper proposes a novel mechanism to provide with security to existing Data-Centric Storage (DCS) solutions for Wireless Sensor Networks. The goal is to achieve a high security level without modifying standard DCS premises or increasing the network overhead. This means we just use the messages an operations already defined ...
Keywords: data-centric storage, wsn, (dcs), security

17
October 2013 IEEE/ACM Transactions on Networking (TON): Volume 21 Issue 5, October 2013
Publisher: IEEE Press
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 0,   Downloads (12 Months): 7,   Downloads (Overall): 140

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BitTorrent is the most popular peer-to-peer (P2P) content delivery application where individual users share various types of content with tens of thousands of other users. The growing popularity of BitTorrent is primarily due to the availability of valuable content without any cost for the consumers. However, apart from the required ...
Keywords: content publishing, measurements, business model, BitTorrent

18 published by ACM
August 2013 ASONAM '13: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 3,   Downloads (12 Months): 19,   Downloads (Overall): 269

Full text available: PDFPDF
Facebook, the most popular Online social network is a virtual environment where users share information and are in contact with friends. Apart from many useful aspects, there is a large amount of personal and sensitive information publicly available that is accessible to external entities/users. In this paper we study the ...
Keywords: Facebook, online social networks, privacy, information disclosure

19 published by ACM
May 2013 WWW '13: Proceedings of the 22nd international conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 10
Downloads (6 Weeks): 3,   Downloads (12 Months): 16,   Downloads (Overall): 333

Full text available: PDFPDF
In the era when Facebook and Twitter dominate the market for social media, Google has introduced Google+ (G+) and reported a significant growth in its size while others called it a ghost town. This begs the question that "whether G+ can really attract a significant number of connected and active ...
Keywords: evolution, characterization, google+, osns, measurements

20
May 2013 Computer Networks: The International Journal of Computer and Telecommunications Networking: Volume 57 Issue 7, May, 2013
Publisher: Elsevier North-Holland, Inc.
Bibliometrics:
Citation Count: 2

Passive Optical Networks (PONs) are widely adopted as the last-mile technology due to the large bandwidth capacity it provides to end users. In addition, PON is viewed as a green access technology since it reduces energy consumption compared to other access technologies (e.g. Fiber to the Node). However, there is ...
Keywords: Operator delay requirement, Sleep mode, Energy saving, TCP throughput, TDM-PONs



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