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Exponential Collapse Of Social Beliefs Over Weakly-Connected Heterogeneous Networks

Related publications (67)

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System and method for cooperative data streaming

Christina Fragouli, Lorenzo Keller

A system and method for cooperative data streaming are disclosed. According to one embodiment, a system for cooperative data streaming comprises a group of devices comprising at least two devices, which are interested in obtaining the same content from the ...

2013

Identifying Influential Scholars in Academic Social Media Platforms

Denis Gillet, Na Li

The emergence of social media has created new ways to publish scientific work, foster collaboration, and build professional connections in the research community. The rich data collected in social media platforms has provided new opportunities for assessin ...

2013

Improving Control of Dexterous Hand Prostheses Using Adaptive Learning

Barbara Caputo, Tatiana Tommasi

At the time of this writing, the main means of control for polyarticulated self-powered hand prostheses is surface electromyography (sEMG). In the clinical setting, data collected from two electrodes are used to guide the hand movements selecting among a f ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Content Management in Mobile Wireless Networks

Francisco De Meneses Neves Ramos Dos Santos

Approximately one billion users have access to mobile broadband, through which they intend to obtain the same data they can reach using a wired connection. Because of the cost of transmitting data over a mobile-broadband connection and given that 3G networ ...

2012

Learning Pattern Transformation Manifolds for Classification

Pascal Frossard, Elif Vural

Manifold models provide low-dimensional representations that are useful for analyzing and classifying data in a transformation-invariant way. In this paper we study the problem of jointly building multiple pattern transformation manifolds from a collection ...

2012

Definitive Consensus for Distributed Data Inference

Leonidas Georgopoulos

Inference from data is of key importance in many applications of informatics. The current trend in performing such a task of inference from data is to utilise machine learning algorithms. Moreover, in many applications that it is either required or is pref ...

EPFL2011

Hypergraph Clustering for Better Network Traffic Inspection

Boi Faltings, Li Pu

Networked computing environments are subject to configuration errors, unauthorized users, undesired activities and attacks by malicious software. These can be detected by monitoring network traffic, but network administrators are overwhelmed by the amount ...

2011

Fuzzynet: Ringless Routing in a Ring-like Structured Overlay

Karl Aberer, Anwitaman Datta, Wojciech Galuba, Sarunas Girdzijauskas

Many structured overlay networks rely on a ring invariant as a core network connectivity element. The responsibility ranges of the participating peers and navigability principles (greedy routing) heavily depend on the ring structure. For correctness guaran ...

2011

Are Privacy Fears Associated with Intelligent Transport Systems Justified?

The creation of wide-area, real-time monitoring systems for the road network has the potential to achieve a step change in both our understanding of the evolution of congestion and forecasting/information to minimise its economic consequences. While such c ...

2011

Hysteresis phenomena of a Macroscopic Fundamental Diagram in freeway networks

Nikolaos Geroliminis

Observations of traffic pairs of flow vs. density or occupancy for individual locations in freeways or arterials are usually scattered about an underlying curve. Recent observations from empirical data in arterial networks showed that in some cases by aggr ...

2011