#Privacy #Social Networks #Prediction algorithms

How to Hide One's Relationships from Link Prediction Algorithms

Authors: Marcin Waniek, Kai Zhou, Yevgeniy Vorobeychik, Esteban Moro, Tomasz P Michalak, Talal Rahwan Journal: Scientific Reports volume 9, Article number: 12208 (2019) Link Abstract: Our private connections can be exposed by link prediction algorithms. To date, this threat has only been addressed from the perspective of a central authority, completely neglecting the possibility that members of the social network can themselves mitigate such threats. We fill this gap by studying how an individual can rewire her own network neighborhood to hide her sensitive relationships. ...

#Social Networks #Dunbar number

¿Cuánta gente vas a acabar conociendo en toda tu vida?

Article (in Spanish) in the spanish newspaper El País about how many people we will know in our life. This is a summary of our recent research on how humans create/destroy relationships and how narrow and small is our world even throughout a life of encounters, relationships, work, etc. ¿Cuánta gente vas a acabar conociendo en toda tu vida? Muy poca En el mundo hay más de 7.500 millones de personas. ...

#Artificial Intelligence #Labour Markets

Towards understanding the impact of artificial intelligence on labor

Authors: Frank, Morgan R and Autor, David and Bessen, James E and Brynjolfsson, Erik and Cebrian, Manuel and Deming, David J and Feldman, Maryann and Groh, Matthew and Lobo, José and Moro, Esteban and Wang, Dashun and Youn, Hyejin and Rahwan, Iyad Journal: PNAS (2019). JOURNAL | PDF Abstract: Rapid advances in artificial intelligence (AI) and automation technologies have the potential to significantly disrupt labor markets. While AI and automation can augment the productivity of some workers, they can replace the work done by others and will likely transform almost all occupations at least to some degree. ...