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Conference Paper: “Applying Fairness Constraints on Graph Node Ranks Under Personalization Bias”

Emmanouil Krasanakis, Symeon Papadopoulos, andIoannis KompatsiarisCERTH International Conference on Complex Networks andTheir Applications, pp. 610-622. Springer, Cham, 2020 Abstract: In this work, we address algorithmic fairness concerns that arise when graph nodes are ranked based on their structural relatedness to a personalized set of query ones. In particular, we aim to mitigate the disparate impact, […]

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Journal Paper: “A Graph-Based Socioeconomic Analysis of Steemit”

Barbara Guidi, Andrea Michienzi & Laura Ricci Università di Pisa IEEE Transactions on Computational Social Systems Abstract: Online social networks (OSNs) have changed the way people interact; however, lately, people are questioning more and more their business models. During the last ten years, new solutions based on decentralized architectures have been proposed, namely, decentralized OSNs […]

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Journal Paper: “Steem Blockchain: Mining the Inner Structure of the Graph”

Barbara Guidi, Andrea Michienzi & Laura Ricci Università di Pisa IEEE Access Journal Volume 8, pp 210251-210266, 2020 Abstract: Since their introduction, Online Social Networks (OSNs) have transformed the way people interact with each other. Lately, a new trend is rising in the development of OSNs, fueled by an increasing interest in blockchain technology and […]

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Introduction to Special Issue: “Re-Imagining a More Trustworthy Social Media Future”

Kevin Koidl & Kristina Kapanova, Trinity College Dublin Social Media + Social Journal Volume: 6 Issue: 2 Abstract: This Special Issue seeks to stimulate novel research focused on the relationship between social media platforms and how users can interact with them and with one another in a more trustworthy way. The far-reaching societal consequences of […]

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Journal Paper: “Emotion Recognition in Immerse Virtual Reality: From Statistics to Affective Computing”

Javier Marin-Morales, Carmen Linares, Jaime Guixeres, Mariano Alcañiz Universitat Politècnica de València Special Issue Emotion and Stress Recognition Related Sensors and Machine Learning Technologies – MDPI and ACS Style Abstract: Emotions play a critical role in our daily lives, so the understanding and recognition of emotional responses is crucial for human research. Affective computing research […]

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Conference Paper: “A rewarding Model for the next generation Social Media”

Barbara Guidi & Laura Ricci – University of Pisa Vanessa Clemente & Tomás Garcia – Worldline Iberia GOODTECHS 20: Proceedings on the 6h International Conference on Smart Objects and Technologies for SocialGood Session: OASIS: Open Challenges in Online Social Networks Online September 14th-15th, 2020 Abstract: Decentralization techniques have been radically changed during the last few […]

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Conference Paper: “Evaluating Posts on the Steemit Blockchain: Analysis on Topics based on Textual Cues”

Barbara Guidi & Andrea Michienzi – University of Pisa Kristina Kapanova & Kevin Koidl – Trinity College Dublin GOODTECHS 20: Proceedings on the 6th International Conference on Smart Objects and Technologies for Social Good Session: OASIS: Open Challenges in Online Social Networks Online September 14th-15th, 2020 Abstract: Online Social Networking platforms (OSNs) are part of […]

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Conference Paper: “Fixing Social Media with the Blockchain”

Pierluigi Freni, Enrico Ferro, Gabriele Ceci LINKS Foundation GOODTECHS 20: Proceedings on the 6h International Conference on Smart Objects and Technologies for Social Good Online September 14th-15th, 2020 Abstract: In today’s social media context, many criticalities have emerged, particularly concerning the security of users’ personal data and the unbalanced redistribution of the value generated. This […]

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Conference Paper: “Privacy-Preserving Peer Discovery for Group Management in P2P Networks”

Tommi Meskanen, Valtteri Niemi University of Helsinki Jarkko Kuusijarvi VTT Technical Research Centre of Finland 27th Conference of Open Innovations Association FRUCT Trento, Italy + Online September 7th-9th, 2020 Abstract: The necessity for peer-to-peer (p2p) communications is obvious; current centralized solutions are capturing and storing too much information from the individual people communicating with each […]

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Journal Paper: “Unsupervised Evaluation of Multiple Node Ranks by Reconstructing Local Structures”

Emmanouil Krasanakis, Symeon Papadopoulos, Yiannis Kompatsiaris CERTH-ITI, Thessaloniki, Greece Springer “Applied Network Science”(ANS) Article number: 48 (2020) Abstract: A problem that frequently occurs when mining complex networks is selecting algorithms with which to rank the relevance of nodes to metadata groups characterized by a small number of examples. The best algorithms are often found through […]