کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
392004 664592 2015 36 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Online social contagion modeling through the dynamics of Integrate-and-Fire neurons
ترجمه فارسی عنوان
مدل سازی انفجار اجتماعی آنلاین از طریق پویایی نورون های ادغام و آتش
کلمات کلیدی
انفجار اجتماعی آنلاین، رفتار جمعی، هماهنگ سازی، نورون ادغام و آتش، شبکه اجتماعی آنلاین، شبکه عصبی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• We introduce an online social contagion model based on the Integrate-and-Fire neuron.
• Three mechanisms are implemented: Stimulation, stimulus processing, activation.
• We consider internal and external sources of influence – positive and negative.
• We explain the online activity growth, propagation, and collective behavior patterns.
• The model is generalizable and applicable to several social dynamical processes.

We introduce a novel model capturing the dynamics of the online social contagion. We adopt a neuroscience perspective and consider the online social networks analogous to networks of Integrate-and-Fire neurons. The dynamics of the model is driven by three sources of positive or negative influence: The individuals’ self-generated bias, the interpersonal online interactions, and the external environment stimulus. The model explains the online activity growth and the activity propagation patterns in relation to the interaction network, the endogenous and exogenous influence, and the individuals’ activation mechanism. Through simulation experiments and validation against empirical data from Twitter, we demonstrate that the model captures the relationship between the dynamically changing internal and external influence and the ensuing online activity. As such, it can accurately reproduce collective activity patterns arising from the online users’ response to various kinds of stimuli. The model can be generalized to handle a wide class of contagion phenomena.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 320, 1 November 2015, Pages 26–61
نویسندگان
, ,