Search results for "SOCIAL NETWORK"
showing 10 items of 537 documents
Identifying the k Best Targets for an Advertisement Campaign via Online Social Networks
2020
We propose a novel approach for the recommendation of possible customers (users) to advertisers (e.g., brands) based on two main aspects: (i) the comparison between On-line Social Network profiles, and (ii) neighborhood analysis on the On-line Social Network. Profile matching between users and brands is considered based on bag-of-words representation of textual contents coming from the social media, and measures such as the Term Frequency-Inverse Document Frequency are used in order to characterize the importance of words in the comparison. The approach has been implemented relying on Big Data Technologies, allowing this way the efficient analysis of very large Online Social Networks. Resul…
Multilayer Network Analysis: The Identification of Key Actors in a Sicilian Mafia Operation
2021
Recently, Social Network Analysis studies have led to an improvement and to a generalization of existing tools to networks with multiple subsystems and layers of connectivity. These kind of networks are usually called multilayer networks. Multilayer networks in which each layer shares at least one node with some other layer in the network are called multiplex networks. Being a multiplex network does not require all nodes to exist on every layer. In this paper, we built a criminal multiplex network which concerns an anti-mafia operation called “Montagna” and it is based on the examination of a pre-trial detention order issued on March 14, 2007 by the judge for preliminary investigations of t…
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…
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…
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
Social comparison on facebook and its effect on an individual's well-being
2021
Social comparison is the process through which people compare their opinions, abilities, behaviours and emotions with those of others for selfevaluation and to obtain an external guide for themselves. There is wide evidence that social comparison is a pervasive behaviour, particularly among adults, both in their social life and in online relationships established through Social Network Sites. A growing number of studies show unmistakably that online social comparison through social media can influence people's everyday life. Features such as Facebook's News Feed or Instagram's Daily Stories provide a stream of information about friends' lives, achievements, abilities and personality, creati…
"I ate an apple today" : suitability of Facebook posts and reactions to norm violations
2015
Facebook on yksi maailman suosituimmista sosiaalisista verkostoitumissivuista. Käyttäjät esiintyvät Facebookissa pääsääntöisesti omilla nimillään, kirjoittavat lyhyitä tekstejä verkostolleen ja jakavat muuta materiaalia avoimesti. Facebookia ja sosiaalista mediaa on tutkittu paljon erilaisista näkökulmista, mutta Facebookiin kirjoituksen aiheista ei ole paljoa tutkimusta. Tämän tutkimuksen tarkoituksena on selvittää mistä aiheista ihmiset kirjoitavat Facebookiin, mitä aiheita välttävät, mitä aiheita pitävät täysin sopimattomina ja miten he reagoivat epäsopiviin kirjoituksiin. Näitä kysymyksiä varten suoritettiin verkko-kysely, jossa kysyttiin avoimesti vastauksia näihin kysymyksiin. Vastaaj…