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Large scale real-world network data such as social and information networks are ubiquitous. The study of such social and information networks seeks to find patterns and explain their emergence through tractable models. In most networks, and especially in social networks, nodes have a rich set of attributes (e.g., age, gender) associated with them. Here we(More)
While the social and information networks have become ubiquitous, the challenge of collecting complete network data still persists. Many times the collected network data is incomplete with nodes and edges missing. Commonly , only a part of the network can be observed and we would like to infer the unobserved part of the network. We address this issue by(More)
We develop the Latent Multi-group Membership Graph (LMMG) model, a model of networks with rich node feature structure. In the LMMG model, each node belongs to multiple groups and each latent group models the occurrence of links as well as the node feature structure. The LMMG can be used to summarize the network structure, to predict links between the nodes,(More)
Relational data—like graphs, networks, and matrices—is often dynamic, where the relational structure evolves over time. A fundamental problem in the analysis of time-varying network data is to extract a summary of the common structure and the dynamics of the underlying relations between the entities. Here we build on the intuition that changes in the(More)
In traditional Oriental medicine, some herbal combinations that include Bupleurum falcatum (BFM) as a major ingredient are known to effectively treat depressive-like disorders. In the present study, the antidepressant-like effect of methanolic extract of BFM and its neuropharmacological mechanism were investigated in mice. After oral administration of BFM(More)
Networks arising from social, technological and natural domains exhibit rich connectiv-ity patterns and nodes in such networks are often labeled with attributes or features. We address the question of modeling the structure of networks where nodes have attribute information. We present a Multiplicative Attribute Graph (MAG) model that considers nodes with(More)
Large-scale websites are predominantly built as a service-oriented architecture. Here, services are specialized for a certain task, run on multiple machines, and communicate with each other to serve a user's request. An anomalous change in a metric of one service can propagate to other services during this communication, resulting in overall degradation of(More)
We consider the dimensionality of social networks, and develop experiments aimed at predicting that dimension. We find that a social network model with nodes and links sampled from an m-dimensional metric space with power-law distributed influence regions best fits samples from real-world networks when m scales logarithmically with the number of nodes of(More)
Depression associated with inflammatory immune responses may be an important medical problem from the perspective of quality of life in old age because chronic inflammation is recognized to have a close connection with the aging process. Activated proinflammatory cytokines induce depression-like behavior by stimulating the expression of(More)