Stochastic block model and exploratory analysis in signed networks
نویسندگان
چکیده
منابع مشابه
Stochastic Blockmodel and Exploratory Analysis in Signed Networks
We propose a generalized stochastic block model to explore the mesoscopic structures in signed networks by grouping vertices that exhibit similar positive and negative connection profiles into the same cluster. In this model, the group memberships are viewed as hidden or unobserved quantities, and the connection patterns between groups are explicitly characterized by two block matrices, one for...
متن کاملExploratory analysis and a stochastic model for humusdisintegration.
Ulrich (1981) supposes in the hypothesis of humusdisintegration that the balance between polymerisation and breakdown of organic material may be disturbed in chemically well buffered European forest soils. This new aspect of aluminium toxicity may cause nitrogen exceedance in forest ecosystems and subsequent seasonal nitrate output (Eichhorn and Hutterman, 1999). In a research program the subst...
متن کاملBalanced clusters and diffusion process in signed networks
In this paper we study the topology effects on diffusion process in signed networks. Considering a simple threshold model for diffusion process, it is extended to signed networks and some appropriate definitions are proposed. This model is a basic model that could be extended and applied in analyzing dynamics of many real phenomena such as opinion forming or innovation diffusion in social netwo...
متن کاملA Viral Spreading Model in Signed Networks
In a business network, a company may be encouraged to utilise a new technique when either its cooperators or its competitors have made their adoption. Nevertheless, its willingness can be reduced as more of its competitors start applying the new technique. Inspired by the this scenario, in this thesis we proposed a viral spreading model in signed networks, in which each link is allocated with a...
متن کاملAsymptotic analysis of the stochastic block model for modular networks and its algorithmic applications
In this paper we extend our previous work on the stochastic block model, a commonly used generative model for social and biological networks, and the problem of inferring functional groups or communities from the topology of the network. We use the cavity method of statistical physics to obtain an asymptotically exact analysis of the phase diagram. We describe in detail properties of the detect...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Physical Review E
سال: 2015
ISSN: 1539-3755,1550-2376
DOI: 10.1103/physreve.91.062805