Search results for " Network"
showing 10 items of 6428 documents
Ranking-based Ties Social Networks : an illustration based on a system of Fashion Capital Cities in the world.
2012
Our paper aims to apply a non-conventional Social Network Analysis to a network generated from an initial sorting of data with mere order. The aim is to test whether and how one relationship set 'conveniently' generated by the ranking is able to provide a coherent system of interactions with possible practical and theoretical utility. We consider a system of city distributions where we focus on ¿Ranking-Based Ties¿ social networks, considering a system of 'objects' of the same class that would be able to interact. The objects in question are ordered according to their 'performance' in a particular ranking. According to a survey developed by Global Langu…
The reliability and validity of the sport engagement instrument in the Finnish dual career context
2021
Although engagement is key to predicting burnout and dropout, few existing instruments measure this phenomenon in the sports context. As part of a larger three-year Lower Secondary Sports Schools Pilot Project (LSSSPP) in Finland, we conducted two studies as part of the present research with the major aims of (a) constructing the Sport Engagement Instrument (SpEI) and (b) validating the new instrument in the Finnish dual career context. In the preparatory study, an expert panel constructed the SpEI, a questionnaire comprising 37 items intended to measure cognitive and affective sports engagement. The main study utilised questionnaire data collected from two independent samples (n1 = 992 and…
Who is the Perfect Match?
2018
Abstract Using digital tools for teaching allows to unburden teachers from organizational load and even provides qualitative improvements that are not achieved in traditional teaching. Algorithmically supported learning group formation aims at optimizing group composition so that each learner can achieve his or her maximum learning gain and learning groups stay stable and productive. Selecting and weighting relevant criteria for learning group formation is an interdisciplinary challenge. This contribution presents the status quo of algorithmic approaches and respective criteria for learning group formation. Based on this theoretical foundation, we describe an empirical study that investigat…
Predicting social integration in the community among college students
2004
This article aims to examine determinants of social integration in the community among college students. Two-wave panel data from an undergraduate student sample (N 310) was used to explore the effects of multiple sets of variables (personal, interpersonal, and situational) on social integration in the community. Structural equation analysis showed that personal (self-esteem and perceived stress) and situational (undesirable life events) variables made significant contributions to changes to social integration in the community. Implications of these and other findings are discussed. © 2004 Wiley Periodicals, Inc. The expansion of social networks beyond relationships with family and peers is…
A Comparison of Dyadic and Social Network Assessments of Peer Influence.
2021
The present study compares two methods for assessing peer influence: the longitudinal actor–partner interdependence model (L-APIM) and the longitudinal social network analysis (L-SNA) Model. The data were drawn from 1,995 (49% girls and 51% boys) third grade students ( Mage= 9.68 years). From this sample, L-APIM ( n = 206 indistinguishable dyads and n = 187 distinguishable dyads) and L-SNA ( n = 1,024 total network members) subsamples were created. Students completed peer nominations and objective assessments of mathematical reasoning in the spring of the third and fourth grades. Patterns of statistical significance differed across analyses. Stable distinguishable and indistinguishable L-AP…
Election Manipulation on Social Networks: Seeding, Edge Removal, Edge Addition
2021
We focus on the election manipulation problem through social influence, where a manipulator exploits a social network to make her most preferred candidate win an election. Influence is due to information in favor of and/or against one or multiple candidates, sent by seeds and spreading through the network according to the independent cascade model. We provide a comprehensive study of the election control problem, investigating two forms of manipulations: seeding to buy influencers given a social network, and removing or adding edges in the social network given the seeds and the information sent. In particular, we study a wide range of cases distinguishing for the number of candidates or the…
Multilayer Network Model of Movie Script
2018
Network models have been increasingly used in the past years to support summarization and analysis of narratives, such as famous TV series, books and news. Inspired by social network analysis, most of these models focus on the characters at play. The network model well captures all characters interactions, giving a broad picture of the narration's content. A few works went beyond by introducing additional semantic elements, always captured in a single layer network. In contrast, we introduce in this work a multilayer network model to capture more elements of the narration of a movie from its script: people, locations, and other semantic elements. This model enables new measures and insights…
AMUSED: An Annotation Framework of Multi-modal Social Media Data
2020
In this paper, we present a semi-automated framework called AMUSED for gathering multi-modal annotated data from the multiple social media platforms. The framework is designed to mitigate the issues of collecting and annotating social media data by cohesively combining machine and human in the data collection process. From a given list of the articles from professional news media or blog, AMUSED detects links to the social media posts from news articles and then downloads contents of the same post from the respective social media platform to gather details about that specific post. The framework is capable of fetching the annotated data from multiple platforms like Twitter, YouTube, Reddit.…
The Moral Foundations of Left-Wing Authoritarianism: On the Character, Cohesion, and Clout of Tribal Equalitarian Discourse
2021
Left-wing authoritarianism remains far less understood than right-wing authoritarianism. We contribute to the literature on the former, which typically relies on surveys, using a new social media analytics approach. We use a list of 60 terms to provide an exploratory sketch of the outlines of a political ideology (tribal equalitarianism) with origins in 19th and 20th century social philosophy. We then use analyses of the English Corpus of Google Books (over 8 million books) and scraped unique tweets from Twitter (n = 202,852) to conduct a series of investigations to discern the extent to which this ideology is cohesive amongst the public, reveals signatures of authoritarianism and has been …
What drives passion? An empirical examination on the impact of personality trait interactions and job environments on work passion
2022
Passionate employees are essential for organisational success as they foster higher performance and exhibit lower turnover or absenteeism. While a large body of research has investigated the consequences of passion, we know only little about its antecedents. Integrating trait interaction theory with trait activation theory, this paper examines how personality traits, i.e. conscientiousness, agreeableness, and neuroticism impact passion at work across different job situations. Passion has been conceptualized as a two-dimensional construct, consisting of harmonious work passion (HWP) and obsessive work passion (OWP). Our study is based on a sample of N = 824 participants from the myPersonalit…