Search results for "NETWORK"

Identification of clusters of investors from their real trading activity in a financial market

2012

We use statistically validated networks, a recently introduced method to validate links in a bipartite system, to identify clusters of investors trading in a financial market. Specifically, we investigate a special database allowing to track the trading activity of individual investors of the stock Nokia. We find that many statistically detected clusters of investors show a very high degree of synchronization in the time when they decide to trade and in the trading action taken. We investigate the composition of these clusters and we find that several of them show an over-expression of specific categories of investors.

Correlations among Game of Thieves and other centrality measures in complex networks

2021

Social Network Analysis (SNA) is used to study the exchange of resources among individuals, groups, or organizations. The role of individuals or connections in a network is described by a set of centrality metrics which represent one of the most important results of SNA. Degree, closeness, betweenness and clustering coefficient are the most used centrality measures. Their use is, however, severely hampered by their computation cost. This issue can be overcome by an algorithm called Game of Thieves (GoT). Thanks to this new algorithm, we can compute the importance of all elements in a network (i.e. vertices and edges), compared to the total number of vertices. This calculation is done not in…

Instagram Inspiration: How Upward Comparison on Social Network Sites Can Contribute to Well-Being

2020

Abstract Passive exposure to others’ positive self-presentations on social network sites (SNS) such as Instagram has been repeatedly associated with reduced well-being, particularly by triggering upward social comparison and envy. However, prior research has largely neglected that upward comparisons on SNS may also facilitate positive outcomes, specifically media-induced inspiration, a motivational state highly conducive to well-being. We conducted two experiments that tested whether and how cognitive-affective processing of visual SNS postings results in inspiration. Study 1 (N = 270) provides first evidence that users react to more positive, optimized Instagram nature and travel posts wit…

Social construction of quality in software development

2011

Reconceptualising resilience within a translational framework is supported by unique and brain-region specific transcriptional signatures in mice

2020

ABSTRACTChronic social defeat (CSD) in mice has been increasingly employed in experimental resilience research. Particularly, the degree of CSD-induced social avoidance is used to classify animals into resilient (socially non-avoidant) versus susceptible (avoidant). In-spired by human data pointing to threat-safety discrimination and responsiveness to extinction training of aversive memories as characteristics of resilient individuals, we here describe a translationally informed stratification which identified three phenotypic subgroups of mice following CSD: the Discriminating-avoiders, characterised by successful social threat-safety discrimination and successful extinction of social avoi…

Using random networks to study the dynamics of respiratory syncytial virus (RSV) in the Spanish region of Valencia

2011

[EN] Seasonal fluctuations in the incidence of several respiratory infections are a feature of epidemiological surveys all around the world. This phenomenon is characteristic of influenza and respiratory syncytial virus pandemics. However, the explanation of the seasonal outbreaks of these diseases remains poorly understood. Many statistical studies have been carried out in order to provide a correlation of the outbreaks with climatic or social factors without achieving a definitive conclusion. Here we show that, in a random social network, self-sustained seasonal epidemics emerge as a process modulated by the infection probability and the immunity period after recovering from the infection…

Preference for Identification in the Field – Nudging Refugees’ Integration Effort

2019

Social identity greatly affects behavior. However, less is known about individual’s investment into identification, i.e. into belonging to a social group. We design a field experiment that allows us to make effort as an investment into a new group identity salient. The social identity in our treatment is refugee’s identification with the host society. We modified a mailing to 5600 refugees who use an online language-learning platform to learn the host countries’ language. These treatment emails make salient that improving the host country’s language ability increases the belonging to the host society. Our analysis reveals that the treatment has a significant positive effect on the effort ex…

Interaction through social media: Development and validation of a social network site self-efficacy scale (SNS-SES)

2023

Today, more than ever before, awareness of our ability to interact with others through and use social network sites (SNSs) is of fundamental importance, in light of the fact that we are connected to the Web 24 h a day, 7 days a week. Studies of social media in recent decades have shown that self-efficacy is one of the key variables affecting individual online behavior. The general aim of the studies presented here was to develop and validate a new self-report scale measuring self-efficacy in SNS use (an SNS self-efficacy scale, or SNS-SES). Across two studies, a total of 1295 Italian adolescents and adults (ages 15 to 89; M = 38.21, SD = 15.6) participated. The SNS-SES consists of 24 items …

Creating an Alumni Identity Online through Social Media - the Case of “uB-link”

2014

International audience

Fragile Correctness of Social Network Analysis

2016

Draft version of the paper