Smoke Rings: social network analysis of friendship groups, smoking and drug-taking

Pearson, Michael; Michell, Lynn

doi:10.1080/713660095

Cited by 98 publications

(90 citation statements)

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“…By aggregating the nominations of various members of a clique or friendship cluster, a sociogram of the network can be drawn up and individuals assigned to positions relative to the "centre" of this cluster (e.g. Ennett & Bauman, 1993;Pearson & Michell, 2000). This assigned position is then used to predict likelihood of drug use behaviours.…”

Section: Social Network Parameters and Structural Peer Effectsmentioning

confidence: 99%

Effects of peer network interactions on adolescent cannabis use

Moriarty

Higgins

2015

Journal of Criminal Psychology

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Purpose: This study capitalises on three waves of longitudinal data from a cohort of 4351 secondary school pupils to examine the effects on individuals' cannabis use uptake of both peer cannabis use and position within a peer network. Methodology:Both cross-sectional and individual fixed effects models are used to estimate the effect on cannabis use of nominated friends' cannabis use, of reciprocity and transitivity of nominations across the friendship cluster, and of interactions between these nominated friends.Post hoc analyses parsed the behaviour of reciprocating and non-reciprocating friends.Findings: Cannabis use varied depending on the stability of friendship network and the degree of reciprocity and interconnectedness within the group. Behavioural influence was strong, but interaction effects were observed between the prevalence of cannabis use among friends, the structure of the friendship group and ego's proximity to group members. These interactions demonstrate that behavioural influence is more salient in more cohesive groups. When reciprocating and non-reciprocating friends' mean cannabis use were separated, influence from reciprocating friends was estimated at twice the magnitude of other friends. Originality and value:While preventing of any one individual from using cannabis is likely to have a multiplier effect on classmates, the bonds and interactions between classmates will determine which classmates are affected by this multiplier and the salience of that effect.

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Section: Social Network Parameters and Structural Peer Effectsmentioning

confidence: 99%

Effects of peer network interactions on adolescent cannabis use

Moriarty

Higgins

2015

Journal of Criminal Psychology

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“…less people who looked after others or with whom respondents had fun) could have a certain protective function and correspond to individuals that fell largely into categories of low consumers or ex substance users, occasional or frequent drunkenness without drugs, but also with the exception of a minority group of isolated people that tend to use illegal drugs. Other studies report mixed findings, with some finding that being alone led to more drug use (Ennett & Bauman, 1993;Pearson & Michell, 2000) and others that it led to lower use (Abel, Plumridge & Graham, 2002). However studies focused in recreational contexts have normally found isolated people to use drugs less (Ross, Mattison & Franklin, 2003;Thorlindsson & Bernburg, 2006).…”

Section: Discussionmentioning

confidence: 96%

“…Some studies have found that adolescents who are isolated or rejected from the group are more likely to smoke (Ennett & Bauman, 1993;Pearson & Michell, 2000). This might arise as most young adolescents do not smoke and do not approve of smoking (Tani, Chavez & Deffenbackher, 2001).…”

Section: Introductionmentioning

confidence: 99%

La influencia de las redes personales en el uso y abuso de alcohol y drogas

Calafat¹,

Cajal

Juan³

et al. 2010

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RESUMEN ABSTRACTLas redes de amigos cuando se sale las noches de los fines de semana son muy importantes para la socialización, pero también pueden influir en facilitar o no el uso y abuso de alcohol y drogas ilegales. Se encuesta a 1.363 jóvenes de 9 ciudades Europeas para conocer su red de amigos (7.360) a partir de 22 posibles características. Para el análisis estadístico se utilizó el análisis factorial con rotación varimax y análisis de la varianza. El 69% de la muestra se había emborrachado durante el último mes y más de la mitad de ellos habían consumido drogas ilegales. La mayoría de los encuestados tiene un grupo estable de amigos con los que suele salir. Las principales características que definen la red de amigos es que sea más o menos desviada y/o prosocial. No tener red o ser ésta menos prosocial se relaciona con consumidores bajos. Tener una red no desviante y pro-social, se relaciona con ser una persona que se embriaga sin usar drogas o ser un ex -usuario. Los usuarios de drogas ilegales tienen una red desviada y prosocial. Las pautas de consumo de los varones parecen estar menos afectadas por su tipo de red social. Hay cuestiones preventivas ya conocidas que se desprender de los resultados, como puede ser la influencia negativa ejercida por las redes de amigos desviantes. Sin embargo, no se conoce tanto el efecto, también negativo, de tener redes más prosociales. Mejorar las capacidades prosociales puede tener, por tanto, efectos contrapreventivos. Por otro lado, puede que influir sobre la red de amigos tenga mayores efectos preventivos entre las mujeres

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“…Obviously this influence can be extended to other elements of personal interactions, "peer pressure" has an important influence on experimental drug use. On this subject, a vast literature exists about the social influence of friendship groups [38] indicating that individuals are influenced (positively or negatively) by their friends but also select which peers they have to mix with in order to find and use drugs [39].…”

Section: Interpersonal Level 1) Peer Pressure/familial Influencementioning

confidence: 99%

SimUse: Simulation of recreational poly-drug use

Lamy

Bossomaier

Perez

2011

2011 IEEE Symposium on Artificial Life (ALIFE)

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Abstract-This on-going project aims to build an ontological model concerning recreational poly-drug use and to use an agentbased simulation, SimUse, to test and verify related public policies. We consider drug-use (and even more so poly-drug use) to be a complex adaptive system that needs to be studied via a methodology able to describe such a dynamic and complex social phenomenon. To contextualize the complexity of poly-drug use and highlight the necessity of a multidisciplinary approach to study this practice we will pay particular attention to justify our theoretical assertions and computational constructions by qualitative researches, statistical surveys and/or theoretical concepts. The description of the different levels composing the structure of drug use and the dynamics between these levels leads us to consider an ontological approach as the best way to capture and encapsulate poly-drug use. We will describe the global structure of our simulation via an UML diagram as well as the way we want to model the decision process concerning drug consumption. We finish with an illustration of tests that can be run with SimUse: this example presents results of different law enforcement policies and their consequences for decision-makers.

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Smoke Rings: social network analysis of friendship groups, smoking and drug-taking

Cited by 98 publications

References 0 publications

Effects of peer network interactions on adolescent cannabis use

Effects of peer network interactions on adolescent cannabis use

La influencia de las redes personales en el uso y abuso de alcohol y drogas

SimUse: Simulation of recreational poly-drug use

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