Modeling Adoption and Usage of Competing Products

The emergence and wide-spread use of online social networks has led to a dramatic increase on the availability of social activity data. Importantly, this data can be exploited to investigate, at a microscopic level, some of the problems that have captured the attention of economists, marketers and sociologists for decades, such as, e.g., product adoption, usage and competition. In this paper, we propose a continuous-time probabilistic model, based on temporal point processes, for the adoption and frequency of use of competing products, where the frequency of use of one product can be modulated by those of others. This model allows us to efficiently simulate the adoption and recurrent usages of competing products, and generate traces in which we can easily recognize the effect of social influence, recency and competition. We then develop an inference method to efficiently fit the model parameters by solving a convex program. The problem decouples into a collection of smaller subproblems, thus scaling easily to networks with hundred of thousands of nodes. We validate our model over synthetic and real diffusion data gathered from Twitter, and show that the proposed model does not only provides a good fit to the data and more accurate predictions than alternatives but also provides interpretable model parameters, which allow us to gain insights into some of the factors driving product adoption and frequency of use

A note on instanton operators, instanton particles, and supersymmetry

We clarify certain aspects of instanton operators in five-dimensional supersymmetric gauge theories. In particular, we show how, in the pointlike limit, they become supersymmetric and provide the natural bridge with the instantonic states contributing to the index as well as with the zero mode counting leading to broken current multiplets

Operator Mixing in Large NN Superconformal Field Theories on S4\mathbb{S}^4 and Correlators with Wilson loops

We find a general formula for the operator mixing on the $\mathbb{S}^4$ of chiral primary operators (CPO) for the ${\cal N}=4$ theory at large $N$ in terms of Chebyshev polynomials. As an application, we compute the correlator of a CPO and a Wilson loop, reproducing an earlier result by Giombi and Pestun obtained from a two-matrix model proposal. Finally, we discuss a simple method to obtain correlators in general ${\cal N}=2$ superconformal field theories in perturbation theory in terms of correlators of the ${\cal N}=4$ theory.Comment: 15 pages, no figure

Uncovering the Temporal Dynamics of Diffusion Networks

Time plays an essential role in the diffusion of information, influence and disease over networks. In many cases we only observe when a node copies information, makes a decision or becomes infected -- but the connectivity, transmission rates between nodes and transmission sources are unknown. Inferring the underlying dynamics is of outstanding interest since it enables forecasting, influencing and retarding infections, broadly construed. To this end, we model diffusion processes as discrete networks of continuous temporal processes occurring at different rates. Given cascade data -- observed infection times of nodes -- we infer the edges of the global diffusion network and estimate the transmission rates of each edge that best explain the observed data. The optimization problem is convex. The model naturally (without heuristics) imposes sparse solutions and requires no parameter tuning. The problem decouples into a collection of independent smaller problems, thus scaling easily to networks on the order of hundreds of thousands of nodes. Experiments on real and synthetic data show that our algorithm both recovers the edges of diffusion networks and accurately estimates their transmission rates from cascade data.Comment: To appear in the 28th International Conference on Machine Learning (ICML), 2011. Website: http://www.stanford.edu/~manuelgr/netrate

Productivity and Environmental Performance in Marketing Cooperatives: Incentive Schemes on the Horticultural Sector

The object of the present paper is to analyze the productivity of marketing cooperatives incorporating environmental inputs/outputs. In the European agricultural policy, expectations for attaining sustainable and competitive agriculture lie to a great extent on the cooperative sector's ability to adapt to the new market conditions. These challenges have led marketing cooperatives in the fruit and vegetables sector to consider improvement in productivity and sound environmental performance. In this sector environmental management was intensified by the Common Agrarian Policy (CAP) through incentives on the so-called Operative Programs (OP). The present study analyses the total factor productivity (TFP) related to environmental variables in this sector using a parametric-stochastic approach and taking as reference a panel data of Spanish cooperatives for the period 1994-2002. Additionally, the determinants of productivity environmental indices are examined econ ometrically. The estimates obtained show a relevant increase in the efficiency component for the period under study and a relatively low impact of incentive schemes. However, they also show a relationship between productivity changes and several management factors in cooperatives, such as labor quality, capital intensity and environmental spillover.Productivity, environmental performance, parametric approach, efficiency, marketing cooperative, horticultural sector, Agribusiness, Environmental Economics and Policy, Productivity Analysis, D24, Q13, Q21, L15,

Adding magnetic flux to the baryon vertex

We generalise the baryon vertex configuration of AdS/CFT by adding magnetic field on its worldvolume, dissolving D-string charge. A careful analysis of the configuration shows that there is an upper bound on the number of dissolved strings. We provide a microscopical description of this configuration in terms of a dielectric effect for the dissolved strings.Comment: 6 pages, 2 figures. Contribution to the proceedings of the RTN workshop in Napoli, Octobre 200

5d superconformal indices at large N and holography

We propose a general formula for the perturbative large N superconformal index of 5d quiver fixed point theories that have an AdS(6)xS(4)/Z(n) supergravity dual. This index is obtained from the parent theory by projecting to orbifold-invariant states and adding the twisted sector contributions. Our result agrees with expectations from the dual supergravity description. We test our formula against the direct computation of the index for Z(2) and Z(3) and find complete agreement.Comment: 18 pages, no figure