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Prometheus: User-controlled p2p social data management for socially-aware applications
- 11th International Middleware Conference
, 2010
"... Abstract. Recent Internet applications, such as online social networks and user-generated content sharing, produce an unprecedented amount of social information, which is further augmented by location or collocation data collected from mobile phones. Unfortunately, this wealth of social information ..."
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Abstract. Recent Internet applications, such as online social networks and user-generated content sharing, produce an unprecedented amount of social information, which is further augmented by location or collocation data collected from mobile phones. Unfortunately, this wealth of social information is fragmented across many different proprietary applications. Combined, it could provide a more accurate representation of the social world, and it could enable a whole new set of socially-aware applications. We introduce Prometheus, a peer-to-peer service that collects and manages social information from multiple sources and implements a set of social inference functions while enforcing user-defined access control policies. Prometheus is socially-aware: it allows users to select peers that manage their social information based on social trust and exploits naturallyformed social groups for improved performance. We tested our Prometheus prototype on PlanetLab and built a mobile social application to test the performance of its social inference functions under real-time constraints. We showed that the social-based mapping of users onto peers improves the service response time and high service availability is achieved with low overhead.
On the Design of Socially-Aware Distributed Systems
, 2012
"... Dedication To my beloved parents Panayiota and Ioannis Kourtellis for teaching me the importance of an education, and always motivating me to pursue my dreams. Acknowledgments I would like to thank Dr. Adriana Iamnitchi for being my major professor and academic advisor for the past six years. Her he ..."
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Dedication To my beloved parents Panayiota and Ioannis Kourtellis for teaching me the importance of an education, and always motivating me to pursue my dreams. Acknowledgments I would like to thank Dr. Adriana Iamnitchi for being my major professor and academic advisor for the past six years. Her help and guidance inspired me to overcome any diffi-culties in my research, and her persistence motivated me throughout my doctoral studies.
GeoS: A service for the management of geo-social information in a distributed system
, 2010
"... GeoS: A service for the management of geo-social information in a distributed system ..."
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GeoS: A service for the management of geo-social information in a distributed system
The Power of Indirect Ties in Friend-to-Friend Storage Systems
"... Abstract—Friend-to-Friend (F2F) storage systems were shown to suffer from two significant limitations. First, users with a small set of friends are penalized by lack of available storage for their needs, while users with many friends get overloaded with resource requests. Second, friends are typical ..."
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Abstract—Friend-to-Friend (F2F) storage systems were shown to suffer from two significant limitations. First, users with a small set of friends are penalized by lack of available storage for their needs, while users with many friends get overloaded with resource requests. Second, friends are typically in close geographical proximity to each other, and thus their online times are synchronized, leading to low data availability when they are offline. This paper addresses these concerns by expanding the set of storage resources while still using a measure of social incentives. It proposes an indirect tie measurement to compute the social strength between possibly distant nodes in a social network. Using datasets from co-authorship networks and a video gaming community, we show that the social strength-based mechanism more than doubles the set of storage candidates motivated by social incentives, invites socially low connected users to contribute more resources and improves data availability by up to 6.5 times. We also show that our method complemented with simple load balancing strategies significantly improves peer engagement and workload distribution in F2F storage systems. I.
The power of indirect social ties
, 2014
"... Abstract—While direct social ties have been intensely studied in the context of computer-mediated social networks, indirect ties (e.g., friends of friends) have seen little attention. Yet in real life, we often rely on friends of our friends for recommendations (of good doctors, good schools, or goo ..."
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Abstract—While direct social ties have been intensely studied in the context of computer-mediated social networks, indirect ties (e.g., friends of friends) have seen little attention. Yet in real life, we often rely on friends of our friends for recommendations (of good doctors, good schools, or good babysitters), for introduction to a new job opportunity, and for many other occasional needs. In this work we attempt to 1) quantify the strength of indirect social ties, 2) validate it, and 3) empirically demonstrate its usefulness for distributed applications on two examples. We quantify social strength of indirect ties using a(ny) measure of the strength of the direct ties that connect two people and the intuition provided by the sociology literature. We validate the proposed metric experimentally by comparing correlations with other direct social tie evaluators. We show via data-driven experiments that the proposed metric for social strength can be used successfully for social applications. Specifically, we show that it alleviates known problems in friend-to-friend storage systems by addressing two previously documented shortcomings: reduced set of storage candidates and data availability correlations. We also show that it can be used for predicting the effects of a social diffusion with an accuracy of up to 93.5%. I.
Enabling Social Applications via De-centralized Social Data Management
"... An unprecedented information wealth produced by online social networks, further augmented by location/collocation data, is currently fragmented across different proprietary services. Combined, it can accurately represent the social world and enable novel socially-aware applications. We present Prom ..."
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An unprecedented information wealth produced by online social networks, further augmented by location/collocation data, is currently fragmented across different proprietary services. Combined, it can accurately represent the social world and enable novel socially-aware applications. We present Prometheus, a socially-aware peer-to-peer service that collects social information from multiple sources into a multigraph managed in a decentralized fashion on user-contributed nodes, and exposes it through an interface implementing non-trivial social inferences while complying with user-defined access policies. Simulations and experiments on PlanetLab with emulated application workloads show the system exhibits good end-to-end response time, low communication overhead and resilience to malicious attacks.
Social Machines: A Unified Paradigm to Describe Social Web-Oriented Systems
"... Blending computational and social elements into software has gained significant attention in key conferences and journals. In this context, “Social Machines ” appears as a promising model for unifying both computational and social processes. However, it is a fresh topic, with concepts and definition ..."
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Blending computational and social elements into software has gained significant attention in key conferences and journals. In this context, “Social Machines ” appears as a promising model for unifying both computational and social processes. However, it is a fresh topic, with concepts and definitions coming from different research fields, making a unified understanding of the concept a somewhat challenging endeavor. This paper aims to investigate efforts related to this topic and build a preliminary classification scheme to structure the science of Social Machines. We provide a preliminary overview of this research area through the identification of the main visions, concepts, and approaches; we additionally examine the result of the convergence of existing contributions. With the field still in its early stage, we believe that this work can collaborate to the process of providing a more common and coherent conceptual basis for understanding Social Machines as a paradigm. Furthermore, this study helps detect important research issues and gaps in the area.
Measurement, Simulation
"... The recent increase in the volume of recorded social interactions has the potential to enable a large class of innovative social applications and services. The decentralized management of such social information as a social graph distributed on a user-contributed peer-to-peer network is appealing du ..."
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The recent increase in the volume of recorded social interactions has the potential to enable a large class of innovative social applications and services. The decentralized management of such social information as a social graph distributed on a user-contributed peer-to-peer network is appealing due to privacy concerns. This paper studies the vulnerability of such a peer-to-peer system to attacks staged by malicious users who try to manipulate the graph or by malicious peers who try to manipulate the mining of the social graph. We discuss the effects and limitations of such attacks and we show experimentally how the distribution of the social data onto peers affects the system’s resilience. CR-number [subcat-
Geosocially Cognizant Mobile Advertising for Clicks-to- Mortar Commerce
"... Abstract. Despite the rapid growth of e-commerce, the majority of consumer spending remains offline with a significant proportion expended on goods and services provided by local merchants. Consequently, an opportunity exists for mobile systems that can drive consumers to these nearby commerce locat ..."
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Abstract. Despite the rapid growth of e-commerce, the majority of consumer spending remains offline with a significant proportion expended on goods and services provided by local merchants. Consequently, an opportunity exists for mobile systems that can drive consumers to these nearby commerce locations. Existing approaches typically employ rudimentary interest models built with the consumer’s explicit involvement, demanding higher cognitive cost and leading to relatively low accuracy. In this paper, we introduce an approach to locationbased mobile advertising that establishes consumer’s interests by applying behavioral, semantic and social targeting to the user’s geosocial context. Our working hypothesis is that this approach is more effective to match advertisements. We conduct field studies in-the-wild supported by a prototype implementation of this system, considering a range of advertising situations. We find that participants perceive advertisements selected in this way as more relevant and observe a measurable uplift in their attitudes toward advertising in general.
1Enabling Social Applications via Decentralized Social Data Management
"... Abstract—Online social networks and user-generated content sharing applications produce an unprecedented amount of social information, which is further augmented by location or collocation data collected from mobile phones. This wealth of social information is currently fragmented across many differ ..."
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Abstract—Online social networks and user-generated content sharing applications produce an unprecedented amount of social information, which is further augmented by location or collocation data collected from mobile phones. This wealth of social information is currently fragmented across many different proprietary applications. Combined, it could provide a more accurate representation of the social world that can be leveraged to enable novel socially-aware applications. We present Prometheus, a peer-to-peer service that collects social information from multiple sources and exposes it through an interface that implements non-trivial social inferences. The social information is stored in a multigraph which is managed in a decentralized fashion on user-contributed nodes. The access to social data is controlled by user-defined policies. The system’s socially-aware design serves multiple purposes. First, it allows users to store and manage their social information via socially-trusted peers, thus improving service availability. Second, it exploits naturally-formed social groups for improved end-to-end social inference performance and reduced message overhead. Third, it reduces the opportunity of malicious peers to influence requests in the system, thus constituting a resilient solution to malicious attacks. We tested our prototype on PlanetLab under workloads from emulated applications. We also built a mobile social application to assess Prometheus ’ performance under real-time constraints and show that Prometheus ’ overhead is practical for real applications. Our experimental results show that a socially-aware distribution of social data onto Prometheus nodes leads to significant improvements in end-to-end response time, reduced communication overhead, and improved resilience to malicious attacks. Index Terms—social data management, decentralized social graph, P2P networks, social sensors, social inferences F 1
