Showing papers in "Social Networks in 2010"

TL;DR: This paper proposes generalizations that combine tie strength and node centrality, and illustrates the benefits of this approach by applying one of them to Freeman’s EIES dataset.

TL;DR: Stochastic actor-based models as discussed by the authors are models for network dynamics that can represent a wide variety of influences on network change, and allow to estimate parameters expressing such influences, and test corresponding hypotheses.

TL;DR: A data set consisting of practically all actions of all players over a period of 3 years from a MMOG played by 300,000 people is compiled, demonstrating the feasibility for establishing a ‘socio-economic laboratory’ which allows to operate at levels of precision approaching those of the natural sciences.

TL;DR: Obesity-related behaviors within adolescent friendship networks are examined, because adolescent peers have been identified as being important determinants of many health behaviors and to explore associations between behavior and popularity.

TL;DR: In this article, the authors discuss and illustrate various approaches for the longitudinal analysis of personal networks (multilevel analysis, regression analysis, and SIENA) and combine the different types of analyses in a study of the changing personal networks of immigrants.

TL;DR: It is suggested that selection as well as influence processes play an important role in adolescent smoking behavior, particularly when selecting non-reciprocal friends.

TL;DR: The dynamics of communities of scientists, software developers, wiki contributors and webloggers can be adequately described as the coevolution of a social and a socio-semantic network, and the remarkable stability of these macroscopic properties in spite of a vivid local, agent-based network dynamics is emphasized.

TL;DR: Bridging and the accompanying methodology provide a family of new network measures useful for studying network structure, network dynamics, and network effects on substantive behavioral phenomenon.

TL;DR: The characteristics of and the degree of membership overlap between “important matters” and “health matters’ discussants are identified, and their relative power in explaining a wide range of health and health services-related outcomes is explored.

TL;DR: This paper provides insight into the puzzle by considering constraints that lower order graph features place on the triad census, showing that triad censuses from 159 social networks of diverse species and social relations are largely explained by their lower ordergraph features through formal constraints that force triads to occur in narrow range of configurations.

TL;DR: Evidence is found that reciprocity, popularity, and triadic closure all shaped the formation of preschool children's networks, suggesting that these network formation processes were not moderated by age in this sample of young children.

TL;DR: Empirically tests a mediated moderation model that distinguishes between the five different theoretical mechanisms: autonomy, competition, information brokering, opportunity recognition and innovativeness, and suggests that of these five theoretical causal motors, innovateativeness plays a key role in linking network structure and network content to performance.

TL;DR: Using a stochastic actor-based model for network dynamics, a three-wave dataset of first year Royal Netherlands Naval College officer students on friendship formation and military discipline supports the first hypothesis that students adjust their own military discipline to that of their friends.

TL;DR: The different types of support exchanged between immigrants and Spaniards and immigrants and non-Spaniards, may indicate current shortfalls in this process, as well as indicating where this support is successfully being exchanged.

TL;DR: This paper proposes two nested PRE (proportional reduction of error) measures of fit, and applies the resulting method to citations between journals and to international trade in clothing, to illustrate insights gained from being able to model asymmetrical flow patterns.

TL;DR: Results indicate that contact with religiously homogeneous others paired with personal religious belief reduces anomia and the likelihood of unhappiness, and while ego/alter closeness is important, alter/alter closeeness is not.

TL;DR: The results show that the data quality suffers from the online data collection and the findings indicate that this is the consequence of the respondents answering “mechanically”.

TL;DR: There is no evidence for control effects on trustworthiness, including effects arising from opportunities for third-party sanctions on trustfulness, which could indicate limited strategic rationality of trustors.

TL;DR: It is argued that skill and motivation operate interactively and assesses the interactive impact of political skill and future time perspective on differentially predicting community-based and career-based networking behavior.

TL;DR: The results provide mixed support for the macro-level hypotheses, and indicate possible directions to improve the model at the micro level.

TL;DR: Respent-Driven Sampling is presented as a viable method of sampling and analyzing social networks with survey data and whether and to what extent racial diversity at the institutional level is reflected as racial integration at the interpersonal level by testing hypotheses regarding the quantity and quality of cross-race friendships.

TL;DR: Results indicate that substance use is enhanced by being older and male, as well as the presence of neighborhood concentrated disadvantage and interaction with substance using peers at adolescents’ perceived risky places.

TL;DR: The results point to clear limitations to such infrastructural engineering and have implications for both recruitment to police academies and dealing with race, and shed light also on processes of homophily and group composition over time and has implications for studying social networks.

TL;DR: Exogenous measures of degree, closeness and betweenness are looked at, which examine how much centrality an individual node contributes to the centrality of the other nodes in the network.

TL;DR: This study links social network methodology with the social disorganization literature to test the effect of block-level social distance on neighborhood perceived crime and disorder and finds that more socially distant residents perceive more disorder than their neighbors.

TL;DR: Results from simulations of the simulations from an earlier paper on a series of networks drawn to represent well-known structures indicate that the pattern of negative bias in ρ continues to hold in all of these structures and that the negative bias continues to increase at increasing levels of density.

TL;DR: The aim is to reignite the discussion about the way the availability and consequent (mis)use of ‘social’ data is about to necessitate a new definition of and fight for the right for a private sphere that each individual may claim in the public of the virtual worlds.

TL;DR: The results of the study suggest that applied researchers using regression techniques to study dyadic data are well advised to correct for heteroscedasticity, by either of the two methods discussed here, whenever there is a reason to suspect heteroscingasticity.

TL;DR: This work presents an agent-based model of social creativity in which the individual agent captures key features of the human cognitive architecture derived from cognitive psychology, and the interactions are modeled by agents exchanging partial results of their symbolic processing of task information.