Abstract In computational social science, epidemic-inspired spread models have been widely used to simulate information diffusion. However, recent empirical studies suggest that simple epidemic-like models typically fail to generate the structure of real-world diffusion trees.Estimated Reading Time: 3 mins
Diffusion of innovations is a theory that seeks to explain how, why, and at what rate new ideas and technology spread. Everett Rogers, a professor of communication studies, popularized the theory in his book Diffusion of Innovations; the book was first published in 1962, and is now in its fifth edition (2003).Estimated Reading Time: 9 mins
In this manuscript, we propose a simple diffusion process as the mode of spreading infections. This model is less sophisticated than other models in the literature, but it can capture the exponential growth and it can explain it in terms of mobility (diffusion constant), population density, and probability of …Estimated Reading Time: 5 mins
To begin with, a more granular understanding of how information spreads from person to person is essential for the development of realistic diffusion models. As a first step, we set about...Estimated Reading Time: 5 mins
Another class of information diffusion models tries to identify influential information spreaders by looking at the properties of the social network graph itself. The assumption underpinning these models is that nodes in core regions of the network are usually more active in the diffusion of information, and that information cascades starting from these nodes are often larger than diffusions starting from other …
The five stage adoption process can shed light on how and why new products spread. Awareness and persuasion stages account for the diffusion of product information. The final three stages account for the actual adoption of the product. Its usage and continued usage. The model allows product designers to track the stages of the consumer life cycle.Estimated Reading Time: 8 mins
Components of information diffusion model 2.1. Organizational dimension. The Organizational dimension is the individual's social network connections, but also the... 2.2. Relational dimension. The relational dimension is a stable and long-lasting relationship that can effectively... 2.3. Cognitive ...
Summary. An outline of the results obtained in the various phases of a research project to define optimal control policies for the eradication of a class of man environment man diseases is given. The main mathematical model is based on a reaction diffusion system involving a linear parabolic equation and a non linear ordinary differential equation coupled via an integral boundary feedback mechanism.
Mathematical models of the spread of the infectious disease are the crucial tool for tracking the course of the epidemic as well as for forecasting its persistence or extinction in the population. The most widely used models in epidemiology are compartmental models. ... is the two-diffusion stochastic model, consisting od two Itô SDEs ...
Realistic modelling of information spread using peer-to-peer diffusion patterns Abstract. In computational social science, epidemic-inspired spread models have been widely used to simulate information... Main. As a ubiquitous process in social networks, information diffusion plays a …
And why superior products sometimes fail. Communications are an important factor in the diffusion process. Early adopters comprise roughly Complex contagions and the weakness of long ties. LiveJournal data are subject to restrictions for user privacy protection. He got his Ph. Full text links Read article at publisher's site DOI : Written by Everett M. They view innovators and innovations with suspicion. The innovation must be widely adopted in order to self-sustain. Mao X. People tend to be close to others of similar health status. In the book multiple examples of the unintended negative consequences of technological diffusion are given. Diffusion is difficult to quantify because humans and human networks are complex. Gambhir E. The Journal of Product Innovation Management. Forecasting the spatial transmission of influenza in the United States. For another model incorporating spatial heterogeneity and stochasticity we refer to . Regarding the mathematical analysis, the problem of existence and uniqueness of the positive solution and the problem of exponential stability of disease free equilibrium are addressed. Pollock A. The social system is the combination of external influences mass media, surfactants, organizational or governmental mandates and internal influences strong and weak social relationships , distance from opinion leaders. SSRN e-library; Adak D. Epidemic processes in complex networks. Behavioural and Social Sciences at Nature Research. A stochastic analysis of the impact of fluctuations in the environment on pre-exposure prophylaxis for HIV infection. Acta Sociologica. These trackers are used for activities that are strictly necessary to operate or deliver the service you requested from us and, therefore, do not require you to consent. The nature of this parameter is highly influenced by the environmental uncertainty and therefore it is much more suitable to assume the stochastic nature of this parameter than to take its value as a constant or define its change via some deterministic function depending on time. The role of hubs in the adoption process. Facebook Twitter LinkedIn. Salganik, M. Recent Activity. Bin Zhou, then a visiting scholar at Boston University, inquiring about details of the LiveJournal study. Mining the network value of customers. Muchnik, L. Get the most important science stories of the day, free in your inbox. The Spread of New Products The five stage adoption process can shed light on how and why new products spread. Opinion leaders exercise a very strong influence on the early majority. Communication channels can generally be divided into mass media and social networks. Rogers, E. The criterion for the adopter categorization is innovativeness, defined as the degree to which an individual adopts a new idea. Within the adoption curve at some point the innovation reaches critical mass. Can we use epidemic models to simulate online information diffusion? Diffusion of Innovations has been applied beyond its original domains. An outline of the results obtained in the various phases of a research project to define optimal control policies for the eradication of a class of man environment man diseases is given. To obtain the best experience, we recommend you use a more up to date browser or turn off compatibility mode in Internet Explorer. Virality prediction and community structure in social networks. All prices are NET prices. Two factors emerge as important to successful spread of the innovation: the number of connections of nodes with their neighbors and the presence of a high degree of common connections in the network quantified by the clustering coefficient.