Concept

Social software

Related publications (92)

Explainability and Graph Learning From Social Interactions

Ali H. Sayed, Valentina Shumovskaia, Stefan Vlaski, Konstantinos Ntemos

Social learning algorithms provide models for the formation of opinions over social networks resulting from local reasoning and peer-to-peer exchanges. Interactions occur over an underlying graph topology, which describes the flow of information among the ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Preliminary metadata paper. Data Domotopia: a web-based survey about home-making in a moving world.

Vincent Kaufmann, Luca Giovanni Pattaroni, Guillaume Simon Joseph Drevon, Marc-Edouard Baptiste Grégoire Schultheiss, Garance Clément, Fiona Ines Del Puppo

This questionnaire Data Domotopia is a 100+ multi-purpose items about home-making and stillness in a moving world. The survey covers most of the contemporary issues related to home-making. This includes the domestic space and gender issues; the socio-spati ...

2022

Hidden Markov Modeling Over Graphs

Ali H. Sayed, Mert Kayaalp, Stefan Vlaski, Virginia Bordignon

This work proposes a multi-agent filtering algorithm over graphs for finite-state hidden Markov models (HMMs), which can be used for sequential state estimation or for tracking opinion formation over dynamic social networks. We show that the difference fro ...

IEEE2022

A chance-constraint approach for optimizing Social Engagement-based services

Michel Bierlaire, Edoardo Fadda

Social Engagement is a novel business model transforming final users of a service from passive into active components. In this framework, people are contacted by a company and they are asked to perform tasks in exchange for a reward. This arises the compli ...

IEEE2022

Smart Toys plus plus : Exploiting the Social Connectedness for Playing and Learning

Ayberk Özgür

Under the umbrella of smart toys, a myriad of interactive systems have addressed a variety of scenarios considering entertainment, education, sustainability, social and environmental learning through play. Tangibles and small toy robots prevail; but intera ...

ASSOC COMPUTING MACHINERY2021

Contribution Measures for Incentivizing Personalized Collaborative Learning

Federated and decentralized learning have become key building blocks for privacy-preserving machine learning. Participation in these opaque federations may be better incentivized by transparent communication of each user's contribution. For real-world appl ...

2021

Robust Architecture Workshop (RAW)

Paolo Tombesi

Based in Colombo, Sri Lanka, Milinda Pathiraja and Ganga Rathnayake of Robust Architecture Workshop have developed a mode of design practice with an impact that goes beyond its built projects, to contribute to social, political and economic development. ...

2021

The effect of spokesperson attribution on public health message sharing during the COVID-19 pandemic

Robert West, Andreas Oliver Spitz, Ahmad Abu-Akel

It is urgent to understand how to effectively communicate public health messages during the COVID-19 pandemic. Previous work has focused on how to formulate messages in terms of style and content, rather than on who should send them. In particular, little ...

2021

Gentrification, Coprésence ou Mixité? Changements et Permanences au Centre de São Paulo

Vitor Pessoa Colombo, Gian Paolo Torricelli

Peut-on parler de gentrification dans le centre de Sao Paulo (Brésil) ? Ou, plutôt, de coprésence de différentes classes sociales ? En partant d’une brève analyse du contexte latino-américain et de la situation des centres urbains dans cette région, nous a ...

2020

For Their Own Good and For the Good of Others: Identity Duality in New Venture Evaluation and Investor Decision-Making

Nettra Danette Pan

Organizing is a managerial process which demands a sense of purpose. When stories about "who we are" and "what we do" are salient and coherent (Voss, Cable & Voss, 2006), organizations can better plan, explain and justify collective action (Whetten & Macke ...

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