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Item type:Publication, Communication with Family and Friends across the Life Course(2016) ;Tamas David-Barrett ;Janos Kertesz ;Anna Rotkirch ;Asim GhoshKunal Bhattacharya8Scopus© Citations 51 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Network Effects of Demographic Transition(2019)Tamas David-Barrett<jats:title>Abstract</jats:title><jats:p>Traditional human societies use two of biology’s solutions to reduce free-riding: by collaborating with relatives, they rely on the mechanism of kin-selection, and by forming highly clustered social kin-networks, they can efficiently use reputation dynamics. Both of these solutions assume the presence of relatives. This paper shows how social networks change during demographic transition. With falling fertility, there are fewer children that could be relatives to one another. As the missing kin are replaced by non-kin friends, local clustering in the social network drops. This effect is compounded by increasing population size, characteristic of demographic transition. The paper also shows that the speed at which reputation spreads in the network slows down due to both falling fertility and increasing group size. Thus, demographic transition weakens both mechanisms for eliminating free-riders: there are fewer relatives around, and reputation spreads slower. This new link between falling fertility and the altered structure of the social network offers novel interpretations of the origins of legal institutions, the Small World phenomenon, the social impact of urbanisation, and the birds-of-a-feather friendship choice heuristic.</jats:p>1Scopus© Citations 26 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies(2018); ; ;Julio LópezSebastián Maldonado<jats:p>We have developed a new methodology for examining and extracting patterns from brain electric activity by using data mining and machine learning techniques. Data was collected from experiments focused on the study of cognitive processes that might evoke different specific strategies in the resolution of math problems. A binary classification problem was constructed using correlations and phase synchronization between different electroencephalographic channels as characteristics and, as labels or classes, the math performances of individuals participating in specially designed experiments. The proposed methodology is based on using well-established procedures of feature selection, which were used to determine a suitable brain functional network size related to math problem solving strategies and also to discover the most relevant links in this network without including noisy connections or excluding significant connections.</jats:p>12 1Scopus© Citations 9 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Low Ambient Temperature and Intracerebral Hemorrhage: The INTERACT2 Study(2016) ;Danni Zheng ;Hisatomi Arima ;Shoichiro Sato ;Antonio GasparriniEmma Heeley1 1Scopus© Citations 24 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration in the Nodal Staging of Stereotactic Ablative Body Radiotherapy Patients(2017) ;MACARENA RODRIGUEZ VIAL ;Kashif A. Khan ;Oisin O’Connell ;S. Andrew PengDaniel R. Gomez5Scopus© Citations 40