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Journal articles on the topic 'Online metrics'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Downey, Rodney G., and Catherine McCartin. "Online promise problems with online width metrics." Journal of Computer and System Sciences 73, no. 1 (2007): 57–72. http://dx.doi.org/10.1016/j.jcss.2006.08.002.

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Azar, Yossi, Arun Ganesh, Rong Ge, and Debmalya Panigrahi. "Online Service with Delay." ACM Transactions on Algorithms 17, no. 3 (2021): 1–31. http://dx.doi.org/10.1145/3459925.

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In this article, we introduce the online service with delay problem. In this problem, there are n points in a metric space that issue service requests over time, and there is a server that serves these requests. The goal is to minimize the sum of distance traveled by the server and the total delay (or a penalty function thereof) in serving the requests. This problem models the fundamental tradeoff between batching requests to improve locality and reducing delay to improve response time, which has many applications in operations management, operating systems, logistics, supply chain management,

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Fotakis, Dimitris, Loukas Kavouras, and Lydia Zakynthinou. "Online Facility Location in Evolving Metrics." Algorithms 14, no. 3 (2021): 73. http://dx.doi.org/10.3390/a14030073.

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The Dynamic Facility Location problem is a generalization of the classic Facility Location problem, in which the distance metric between clients and facilities changes over time. Such metrics that develop as a function of time are usually called “evolving metrics”, thus Dynamic Facility Location can be alternatively interpreted as a Facility Location problem in evolving metrics. The objective in this time-dependent variant is to balance the trade-off between optimizing the classic objective function and the stability of the solution, which is modeled by charging a switching cost when a client’

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Chen, Hsiang-Han, and Vladimir Cherkassky. "Performance metrics for online seizure prediction." Neural Networks 128 (August 2020): 22–32. http://dx.doi.org/10.1016/j.neunet.2020.04.022.

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Millet, Ido, Diane H. Parente, John L. Fizel, and Ray R. Venkataraman. "Metrics for Managing Online Procurement Auctions." Interfaces 34, no. 3 (2004): 171–79. http://dx.doi.org/10.1287/inte.1040.0073.

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Rosenkrans, Ginger Lee. "Online banner ads and metrics challenges." International Journal of Internet Marketing and Advertising 3, no. 3 (2006): 193. http://dx.doi.org/10.1504/ijima.2006.010747.

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Callegaro, M., and C. DiSogra. "Computing Response Metrics for Online Panels." Public Opinion Quarterly 72, no. 5 (2008): 1008–32. http://dx.doi.org/10.1093/poq/nfn065.

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Chaitanya Krishna, B., P. Sai Mounish, U. Vinay Kumar, and A. Divya Mallika. "Online Business Site Quality Assessment." International Journal of Engineering & Technology 7, no. 2.7 (2018): 838. http://dx.doi.org/10.14419/ijet.v7i2.7.11078.

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Online business is seen as a splendid alternative for associations to accomplish new customers. Now and again, various web-based business destinations will be small life time. The achievement of the small stores will be having some minor issues majorly on the quality metrices of the product, as it will a flighty game plan. Our paper portrays the pertinent game plan of online business site quality metrics in view of writing. Research was endeavored to affirm and set up the appropriate essential of those qualities. The results are gained from an item quality assessment demonstrate

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Skulme, Ronalds, and Valerijs Praude. "Social media evaluation metrics." Oeconomia Copernicana 7, no. 1 (2016): 131. http://dx.doi.org/10.12775/oec.2016.009.

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Background. There are many methods how specialists can evaluate return of online marketing activities. Most of the methods out there are designed for versatile use, but each online marketing tool has its own unique specific metrics that should be taken into account when measuring the return of marketing activities. The Authors believe that the methods designed to evaluate online marketing activities should also be more specific. Hence, the Authors believe that more specific online marketing revenue determination methods should be proposed. Objectives. The aim of this paper is to propose a form

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Choo, Yeun-Su, Jae-Pyo Park, and Moon-Seog Jun. "Security Assessment Metrics Model for Online Services." Journal of Korea Information and Communications Society 39C, no. 4 (2014): 326–33. http://dx.doi.org/10.7840/kics.2014.39c.4.326.

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Edelman, Benjamin. "Pitfalls and Fraud In Online Advertising Metrics." Journal of Advertising Research 54, no. 2 (2014): 127–32. http://dx.doi.org/10.2501/jar-54-2-127-132.

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Jaillet, Hélène F. "Web metrics: measuring patterns in online shopping." Journal of Consumer Behaviour 2, no. 4 (2003): 369–81. http://dx.doi.org/10.1002/cb.114.

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Koutlis, Christos, Manos Schinas, Symeon Papadopoulos, and Ioannis Kompatsiaris. "GAP: Geometric Aggregation of Popularity Metrics." Information 11, no. 6 (2020): 323. http://dx.doi.org/10.3390/info11060323.

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Estimating and analyzing the popularity of an entity is an important task for professionals in several areas, e.g., music, social media, and cinema. Furthermore, the ample availability of online data should enhance our insights into the collective consumer behavior. However, effectively modeling popularity and integrating diverse data sources are very challenging problems with no consensus on the optimal approach to tackle them. To this end, we propose a non-linear method for popularity metric aggregation based on geometrical shapes derived from the individual metrics’ values, termed Geometric

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Clemente, Filipe M., Micael S. Couceiro, Fernando M. L. Martins, and Rui Mendes. "An Online Tactical Metrics Applied to Football Game." Research Journal of Applied Sciences, Engineering and Technology 5, no. 5 (2013): 1700–1719. http://dx.doi.org/10.19026/rjaset.5.4926.

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Pagano, Joe. "Developing a metrics‐based online strategy for libraries." Program 43, no. 3 (2009): 328–41. http://dx.doi.org/10.1108/00330330910978617.

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Wadhwa, Pooja, and M. P. S. Bhatia. "New Metrics for Dynamic Analysis of Online Radicalization." Journal of Applied Security Research 11, no. 2 (2016): 166–84. http://dx.doi.org/10.1080/19361610.2016.1137203.

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17

Dwyer, Paul. "Measuring Collective Cognition in Online Collaboration Venues." International Journal of e-Collaboration 7, no. 1 (2011): 47–61. http://dx.doi.org/10.4018/jec.2011010104.

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By monitoring online conversations, organizations can receive value from the intellectual activity of their most interested constituents as they engage in problem solving and ideation. However, since intergroup dynamics often hinders people from optimizing collaboration, it should be measured and monitored for quality. Current metrics assess collaborative value solely from the number of collaborators, assuming that differences between individuals can be ignored. This study found that assumption to be wrong by identifying three distinct collaborator segments that strongly differ in the timing o

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Burgueño, Jesús, Isabel de-la-Bandera, Jessica Mendoza, David Palacios, Cesar Morillas, and Raquel Barco. "Online Anomaly Detection System for Mobile Networks." Sensors 20, no. 24 (2020): 7232. http://dx.doi.org/10.3390/s20247232.

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The arrival of the fifth generation (5G) standard has further accelerated the need for operators to improve the network capacity. With this purpose, mobile network topologies with smaller cells are currently being deployed to increase the frequency reuse. In this way, the number of nodes that collect performance data is being further risen, so the number of metrics to be managed and analyzed is being highly increased. Therefore, it is fundamental to have tools that automatically inform the network operator of the relevant information within the vast amount of metrics collected. The continuous

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Bacon, Neil, and Dermot O'Riordan. "Online Ratings and Reviews by Patients: Should Surgeons use Web-Based Feedback as an Outcome Metric?" Bulletin of the Royal College of Surgeons of England 95, no. 6 (2013): 188–89. http://dx.doi.org/10.1308/003588413x13643054409748.

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Patient experience (as distinct from patient-reported outcome metrics, or PrOMs) is known to be an accurate and sensitive metric of patient safety and clinical effectiveness 'for a wide range of disease areas, settings, outcomes measures and study designs' and there is a clear case for it being considered 'one of the central pillars of quality in healthcare'.

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Black, Caroline. "Metrics: Measuring importance." Biochemist 34, no. 1 (2012): 38–41. http://dx.doi.org/10.1042/bio03401038.

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Bibliometrics is the term used to describe various approaches to analysing measures of the use of academic literature, in particular articles in peer-reviewed journals. More broadly, the topic addresses the validity or otherwise of these measures as indicators of the impact, influence or value of the research being reported. These measures, and in particular the journal Impact Factor, are used as evidence for the quality of research, to make decisions about appointments, to judge a journal editor's success, and (it is assumed) to make funding decisions. Until recently, bibliometrics was mainly

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Tandoc Jr., Edson C. "Audiences, Journalists, and Forms of Capital in the Online Journalistic Field." Romanian Journal of Communication and Public Relations 16, no. 3 (2016): 23. http://dx.doi.org/10.21018/rjcpr.2014.3.173.

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This study found divergence in how online journalists and student-audiences rated articles with varying popularity, as measured by audience metrics, and quality, as operationalized by winning a journalistic award. The findings revealed that while metrics and awards did not matter for young online news audiences, they were important for online journalists. But even among journalists, the importance of metrics and awards varied depending on whether the journalists were evaluating stories or their peers. For online journalists, popular stories were more newsworthy than those that were not. Awards

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22

Fatih Koçyiğit, Burhan, and Ahmet Akyol. "ALTMETRICS AND CITATION METRICS AS COMPLEMENTARY INDICATORS FOR RESEARCH MANAGEMENT." Central Asian Journal of Medical Hypotheses and Ethics 2, no. 2 (2021): 79–84. http://dx.doi.org/10.47316/cajmhe.2021.2.2.01.

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The quality and impact of scholarly articles are traditionally evaluated using metrics that put citation counts at the center. In the era of digitization, advanced online platforms and social media have transformed the dissemination of scientific information results and introduced new metrics for evaluating the influence of scholarly outputs and planning research studies. Alternative metrics (altmetrics) have emerged as tools for immediate measuring of scholarly outputs upon their online publication and dissemination through numerous online platforms, including social media channels. The Altme

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Matthews, Jermey N. A. "Online metrics show who’s saying what about scientists’ research." Physics Today 68, no. 1 (2015): 18–20. http://dx.doi.org/10.1063/pt.3.2647.

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Osler II, James Edward, and Mahmud A. Mansaray. "Technology Engineering Online Learner Metrics To Analyze Instructional Efficacy." i-manager's Journal of Educational Technology 10, no. 2 (2013): 43–59. http://dx.doi.org/10.26634/jet.10.2.2413.

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Wang, Ying, Lei Huang, and Yi Guo. "Exploring the Effectiveness of Seller Reputation Mechanism Using Online Sales Data." Journal of Electronic Commerce in Organizations 12, no. 2 (2014): 46–58. http://dx.doi.org/10.4018/jeco.2014040104.

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This paper attempts to explore the effectiveness of the seller reputation mechanism by an empirical study using online sales data collected from TaoBao.com. A comparison analysis of seller reputation metrics of TaoBao, Amazon, and jd are carried out before the selection of the seller reputation metrics. The seller reputation metrics of small appliances are used as the input for the study considering the quality homogeneity among different sellers of the market, and the sales performance is measured by the sales amount of the recent month. The univariate analysis are performed to find out the e

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Timbrell, Greg, Patrick Lambe, and Ørjan Taule. "Throwing Pebbles into a Dark Cave: A Study of Participation and Behaviour in the {act-km} Online Community." Journal of Information & Knowledge Management 06, no. 02 (2007): 139–52. http://dx.doi.org/10.1142/s021964920700169x.

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This article defines online communities and their constituent elements. It provides a framework in which online communities can be discussed and compared irrespective of topic or content. It explores the notions of core and peripheral membership and behaviour and provides a set of metrics for determining the activity profile of the community. Finally it presents a case study of an online community and discusses it using the framework and metrics presented.

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Vu, Hong Tien. "The online audience as gatekeeper: The influence of reader metrics on news editorial selection." Journalism 15, no. 8 (2013): 1094–110. http://dx.doi.org/10.1177/1464884913504259.

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This study provides a snapshot of the hierarchy-of-influences model in the new media environment through examining the effects of audience web metrics on editors. Surveying 318 gatekeepers, the study found that audience metrics influence editors in gatekeeping. Editors’ likelihood to monitor web metrics is affected by their journalism training. Gatekeepers who attach the importance of high readership to economic benefits are more likely to have different news decisions based on web metrics. The study suggests a revision of the hierarchy-of-influences model with more emphasis being placed on th

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Kim, Ji Won. "Rumor has it: The effects of virality metrics on rumor believability and transmission on Twitter." New Media & Society 20, no. 12 (2018): 4807–25. http://dx.doi.org/10.1177/1461444818784945.

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This study examines the effects of virality metrics on the judgment of a rumor on Twitter. In an online experiment ( N = 203), a tweet about the rumor related to the issue of food safety was presented with the variations of virality metrics (i.e. the number of retweets, likes, and replies). The results showed that exposure to high virality metrics resulted in greater perceptions of descriptive norms and injunctive norms of sharing the tweet message, and in turn, increased message believability and viral behavioral intentions. Overall, findings demonstrated the normative influence of virality m

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McCarroll, Alexis M., Bree E. Holtz, and Dar Meshi. "Searching for Social Media Addiction: A Content Analysis of Top Websites Found through Online Search Engines." International Journal of Environmental Research and Public Health 18, no. 19 (2021): 10077. http://dx.doi.org/10.3390/ijerph181910077.

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Disordered social media use, often referred to as “social media addiction”, has not been officially recognized by medical bodies such as the American Psychiatric Association or the World Health Organization. However, websites still present information to laypeople on how to treat and manage social media addiction, which can pose the risk of spreading low quality or incorrect information. As such, we aimed to assess how the most popular social media addiction websites present information across multiple metrics. We conducted an in-depth online search to identify the top social media addiction w

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Senior, Morwenna, and Seena Fazel. "Measuring an individual researcher’s impact: new directions and challenges." Evidence Based Mental Health 23, no. 2 (2019): 47–51. http://dx.doi.org/10.1136/ebmental-2019-300122.

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Metrics which quantify the impact of a scientist are increasingly incorporated into decisions about how to rate and fund individuals and institutions. Several commonly used metrics, based on journal impact factors and citation counts, have been criticised as they do not reliably predict real-world impact, are highly variable between fields and are vulnerable to gaming. Bibliometrics have been incorporated into systems of research assessment but these may create flawed incentives, failing to reward research that is validated, reproducible and with wider impacts. A recent proposal for a new stan

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Saleem, Munaza, Lisa Cesario, Lisa Wilcox, et al. "Evaluating Metrics Applied to the Medical Science Liaison (MSL) Role: A Survey-Based Study of Canadian MSL Leaders." Therapeutic Innovation & Regulatory Science 55, no. 5 (2021): 954–65. http://dx.doi.org/10.1007/s43441-021-00291-y.

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Abstract Introduction Metrics utilized within the Medical Science Liaison (MSL) role are plentiful and traditionally quantitative. We sought to understand the current use and value of metrics applied to the MSL role, including the use of qualitative metrics. Methods We developed a list of 70 MSL leaders working in Canada, spanning 29 companies. Invitations were emailed Jun 16, 2020 and the 25-question online survey was open for 3 weeks. Questions were designed to assess demographics as well as how and why metrics are applied to the MSL role. Data analyses were descriptive. Results Responses we

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Li, Xuefeng, Yang Xin, Chensu Zhao, Yixian Yang, and Yuling Chen. "Graph Convolutional Networks for Privacy Metrics in Online Social Networks." Applied Sciences 10, no. 4 (2020): 1327. http://dx.doi.org/10.3390/app10041327.

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In recent years, privacy leakage events in large-scale social networks have become increasingly frequent. Traditional methods relying on operators have been unable to effectively curb this problem. Researchers must turn their attention to the privacy protection of users themselves. Privacy metrics are undoubtedly the most effective method. However, social networks have a substantial number of users and a complex network structure and feature set. Previous studies either considered a single aspect or measured multiple aspects separately and then artificially integrated them. The measurement pro

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Denecke, Alexander, Heiko Wersing, Jochen J. Steil, and Edgar Körner. "Online figure–ground segmentation with adaptive metrics in generalized LVQ." Neurocomputing 72, no. 7-9 (2009): 1470–82. http://dx.doi.org/10.1016/j.neucom.2008.11.028.

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Rango, Floriano De, Annalisa Socievole, and Salvatore Marano. "Exploiting online and offline activity-based metrics for opportunistic forwarding." Wireless Networks 21, no. 4 (2014): 1163–79. http://dx.doi.org/10.1007/s11276-014-0842-7.

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Knieling, Simeon, Kousik S. Sridharan, Paolo Belardinelli, et al. "An Unsupervised Online Spike-Sorting Framework." International Journal of Neural Systems 26, no. 05 (2016): 1550042. http://dx.doi.org/10.1142/s0129065715500422.

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Extracellular neuronal microelectrode recordings can include action potentials from multiple neurons. To separate spikes from different neurons, they can be sorted according to their shape, a procedure referred to as spike-sorting. Several algorithms have been reported to solve this task. However, when clustering outcomes are unsatisfactory, most of them are difficult to adjust to achieve the desired results. We present an online spike-sorting framework that uses feature normalization and weighting to maximize the distinctiveness between different spike shapes. Furthermore, multiple criteria a

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Grinberg, Irina, Sanjib Bhuyan, Yanhong Jin, and Lei Wang. "Examining the Awareness and Persuasive Effects of Online WOM." International Journal of Online Marketing 5, no. 1 (2015): 1–19. http://dx.doi.org/10.4018/ijom.2015010101.

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This study addresses a growing trend in how consumers obtain and use information prior to making their online purchasing decisions. Specifically, the authors investigate the relationship between online word-of-mouth (WOM, i.e., customer reviews and ratings) and sales (as measured by Amazon “ranks”) for different product categories. Using data collected from Amazon, the authors find that online WOM metrics and social media impact consumer purchase decisions through awareness and persuasion. From a managerial standpoint, these findings suggest that businesses should use ratings, reviews, and soc

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Beintner, Ina, Bianka Vollert, Anna-Carlotta Zarski, et al. "Adherence Reporting in Randomized Controlled Trials Examining Manualized Multisession Online Interventions: Systematic Review of Practices and Proposal for Reporting Standards." Journal of Medical Internet Research 21, no. 8 (2019): e14181. http://dx.doi.org/10.2196/14181.

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Background Adherence reflects the extent to which individuals experience or engage with the content of online interventions and poses a major challenge. Neglecting to examine and report adherence and its relation to outcomes can compromise the interpretation of research findings. Objective The aim of this systematic review is to analyze how adherence is accounted for in publications and to propose standards for measuring and reporting adherence to online interventions. Methods We performed a systematic review of randomized controlled trials on online interventions for the prevention and treatm

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Makhortykh, Mykola. "War Memories and Online Encyclopedias." Journal of Educational Media, Memory, and Society 9, no. 2 (2017): 40–68. http://dx.doi.org/10.3167/jemms.2017.090203.

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This article examines how digital media interact with collective memories and teaching practices by exploring a selection of Wikipedia articles that describe the capture of Lviv by the Germans on 30 June 1941. This event constitutes an important episode in the history of Ukraine and a complex case of violence that produced several controversies concerning the national historiographies of the Second World War in the post-Soviet region. Using a combination of qualitative and quantitative metrics, this article investigates how the event is represented in different language versions of Wikipedia a

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Zhao, Hanson Hanqing, Michael Luu, Brennan Spiegel, and Timothy John Daskivich. "Correlation of Online Physician Rating Subscores and Association With Overall Satisfaction: Observational Study of 212,933 Providers." Journal of Medical Internet Research 22, no. 10 (2020): e11258. http://dx.doi.org/10.2196/11258.

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Background Online physician rating websites commonly ask consumers to rate providers across multiple physician-based (eg, spending sufficient time, listening) and office-based (eg, appointment scheduling, friendliness) subdimensions of care in addition to overall satisfaction. However, it is unclear if consumers can differentiate between the various rated subdimensions of physicians. It is also unclear how each subdimension is related to overall satisfaction. Objective The objectives of our study were to determine the correlation of physician-based and office-based subdimensions of care and th

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Masullo Chen, Gina, Ashley Muddiman, Tamar Wilner, Eli Pariser, and Natalie Jomini Stroud. "We Should Not Get Rid of Incivility Online." Social Media + Society 5, no. 3 (2019): 205630511986264. http://dx.doi.org/10.1177/2056305119862641.

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Incivility and toxicity have become concepts du jour in research about social media. The clear normative implication in much of this research is that incivility is bad and should be eliminated. Extensive research—including some that we’ve authored—has been dedicated to finding ways to reduce or eliminate incivility from online discussion spaces. In our work as part of the Civic Signals Initiative, we’ve been thinking carefully about what metrics should be adopted by social media platforms eager to create better spaces for their users. When we tell people about this project, removing incivility

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Demir, Korcan, Samim Özen, Ergun Konakçı, Murat Aydın, and Feyza Darendeliler. "A Comprehensive Online Calculator for Pediatric Endocrinologists: ÇEDD Çözüm/TPEDS Metrics." Journal of Clinical Research in Pediatric Endocrinology 9, no. 2 (2017): 182–84. http://dx.doi.org/10.4274/jcrpe.4526.

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Lois, Athanasios, and Athanasios Ziliaskopoulos. "Online algorithm for dynamic dial a ride problem and its metrics." Transportation Research Procedia 24 (2017): 377–84. http://dx.doi.org/10.1016/j.trpro.2017.05.097.

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Krall, Jay. "Using social metrics to evaluate the impact of online healthcare communications." Journal of Communication in Healthcare 2, no. 4 (2009): 387–94. http://dx.doi.org/10.1179/cih.2009.2.4.387.

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Alemany, Jose, Elena Del Val, Juan M. Alberola, and Ana Garcia-Fornes. "Metrics for Privacy Assessment When Sharing Information in Online Social Networks." IEEE Access 7 (2019): 143631–45. http://dx.doi.org/10.1109/access.2019.2944723.

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Gamzu, Iftah, and Danny Segev. "Improved online algorithms for the sorting buffer problem on line metrics." ACM Transactions on Algorithms 6, no. 1 (2009): 1–14. http://dx.doi.org/10.1145/1644015.1644030.

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Hosseinzadeh, Abdollah, Alireza Zakariazadeh, and Soheil Ranjbar. "Fast restoration of microgrids using online evaluation metrics considering severe windstorms." Sustainable Energy, Grids and Networks 26 (June 2021): 100458. http://dx.doi.org/10.1016/j.segan.2021.100458.

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Oses, Noelia, Jon Kepa Gerrikagoitia, and Aurkene Alzua. "Modelling and prediction of a destination’s monthly average daily rate and occupancy rate based on hotel room prices offered online." Tourism Economics 22, no. 6 (2016): 1380–403. http://dx.doi.org/10.5367/te.2015.0491.

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Tourism metrics are essential for managing a destination. Hotel performance metrics such as average daily rate and occupancy rate are two of the most prominent metrics for the industry. The authors’ research group works on developing methods for estimating tourism metrics based on digital footprint. Data available publicly on the Internet, including hotel room prices, are collected daily. This article shows that the prices offered online have a high positive correlation with those reported by official statistics at the Nomenclature of Units for Territorial Statistics 2 level after the online p

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Kong, Ningning, Tao Zhang, and Ilana Stonebraker. "Common metrics for web-based mapping applications in academic libraries." Online Information Review 38, no. 7 (2014): 918–35. http://dx.doi.org/10.1108/oir-06-2014-0140.

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Purpose – The purpose of this paper is to establish common metrics for web-based mapping applications to facilitate user decision making and enhance information providers’ product design. Design/methodology/approach – The metrics were developed from a combination of literature review and case studies. From the literature review, the authors identified three major areas of assessment for web-based mapping applications. The authors then studied six online applications to refine the metrics. Findings – The results suggest that web-based mapping applications can be evaluated from three major aspec

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Smith, Martin R. "Information theoretic generalized Robinson–Foulds metrics for comparing phylogenetic trees." Bioinformatics 36, no. 20 (2020): 5007–13. http://dx.doi.org/10.1093/bioinformatics/btaa614.

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Abstract Motivation The Robinson–Foulds (RF) metric is widely used by biologists, linguists and chemists to quantify similarity between pairs of phylogenetic trees. The measure tallies the number of bipartition splits that occur in both trees—but this conservative approach ignores potential similarities between almost-identical splits, with undesirable consequences. ‘Generalized’ RF metrics address this shortcoming by pairing splits in one tree with similar splits in the other. Each pair is assigned a similarity score, the sum of which enumerates the similarity between two trees. The challenge

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BALSA, ERO, CARMELA TRONCOSO, and CLAUDIA DIAZ. "A METRIC TO EVALUATE INTERACTION OBFUSCATION IN ONLINE SOCIAL NETWORKS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20, no. 06 (2012): 877–92. http://dx.doi.org/10.1142/s0218488512400284.

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Online social networks (OSNs) have become one of the main communication channels in today's information society, and their emergence has raised new privacy concerns. The content uploaded to OSNs (such as pictures, status updates, comments) is by default available to the OSN provider, and often to other people to whom the user who uploaded the content did not intend to give access. A different class of concerns relates to sensitive information that can be inferred from the behavior of users. For example, the analysis of user interactions augments social network graphs with potentially privacy-s

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