Are Network-Based Interventions a Useful Antiobesity Strategy? An Application of Simulation Models for Causal Inference in Epidemiology
|Abstract||Recent research suggests that social networks may present an avenue for intervention against obesity. By using a simulation model in which artificial individuals were nested in a social network, we assessed whether interventions targeting highly networked individuals could help reduce population obesity. We compared the effects of targeting antiobesity interventions at the most connected individuals in a network with those targeting individuals a ... [truncated at 450 characters in length]|
|Author||El-Sayed, AM; Seemann, L; Scarborough, P; et al|
|Key phrase||computer simulation intervention obesity public health social networks|
Multi-stage complex contagions.
|Abstract||The spread of ideas across a social network can be studied using complex contagion models, in which agents are activated by contact with multiple activated neighbors. The investigation of complex contagions can provide crucial insights into social influence and behavior-adoption cascades on networks. In this paper, we introduce a model of a multi-stage complex contagion on networks. Agents at different stages-which could, for example, represent d ... [truncated at 450 characters in length]|
|Author||Melnik, S; Ward, JA; Gleeson, JP; et al|
|Key phrase||Information Dissemination Interpersonal Relations Leadership Models, Theoretical Peer Group Social Behavior Social Networking Social Support Systems Theory Time Factors|
Robust detection of dynamic community structure in networks.
|Abstract||We describe techniques for the robust detection of community structure in some classes of time-dependent networks. Specifically, we consider the use of statistical null models for facilitating the principled identification of structural modules in semi-decomposable systems. Null models play an important role both in the optimization of quality functions such as modularity and in the subsequent assessment of the statistical validity of identified ... [truncated at 450 characters in length]|
|Author||Bassett, DS; Porter, MA; Wymbs, NF; et al|
|Key phrase||Algorithms Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Models, Neurological Models, Statistical Motor Activity Nerve Net Nonlinear Dynamics Oscillometry Social Behavior Social Networking Systems Theory Time Factors|
Processing power limits social group size: computational evidence for the cognitive costs of sociality.
|Abstract||Sociality is primarily a coordination problem. However, the social (or communication) complexity hypothesis suggests that the kinds of information that can be acquired and processed may limit the size and/or complexity of social groups that a species can maintain. We use an agent-based model to test the hypothesis that the complexity of information processed influences the computational demands involved. We show that successive increases in the k ... [truncated at 450 characters in length]|
|Author||Dávid-Barrett, T; Dunbar, RI;|
|Key phrase||behavioural synchrony social brain hypothesis social network size|
Close Relationships: A Study of Mobile Communication Records
|Abstract||Mobile phone communication as digital service generates ever-increasing datasets of human communication actions, which in turn allow us to investigate the structure and evolution of social interactions and their networks. These datasets can be used to study the structuring of such egocentric networks with respect to the strength of the relationships by assuming direct dependence of the communication intensity on the strength of the social tie. Re ... [truncated at 450 characters in length]|
|Author||Palchykov, V; Kertesz, J; Dunbar, R; et al|
|Key phrase||Complex systems Social networks Close relationships|