Adobe, Inc.

Sayaji Hande

Vineet Gupta

Sandeep Zechariah George Kollannur

Ritwik Sinha

Ramesh Srinivasaraghavan

Sandeep Zechariah George

This document describes techniques for predicting spread of content across social networks. In various embodiments, user interactions with content posted to a social network are accessed during a first stage. The accessed user interactions are applied to a prediction model to predict future user interactions with the content during one or more subsequent stages.

Predicting spread of content across social networks

This document describes techniques for normalizing user responses by removing behavioral bias. In one or more implementations, a response normalization model is built from user responses to one or more events. The response normalization model clusters users into behavioral classification groups based on the user responses. The response normalization model can then be used to normalize user responses by removing behavioral bias from user responses.

Normalizing user responses to an event by removing behavioral bias

Determined seed groups herein improve content dissemination across a communication network connecting a plurality of users. Probabilities of each user in the plurality influencing remaining users in the plurality to observe the content are identified to select a first influential user from the plurality. The seed group size is established and a user of the plurality with a probability proximate to the probability of the first influential user is identified. Based on the seed group size, the probabilities of the remaining users in the plurality are unified with the probability of the first influential user to determine new probabilities of the remaining users, and another user of the plurality with a probability proximate to the probability of the first influential user is identified. The method then provides for selecting the users identified as having probabilities proximate to the probability of the first influential user to establish the seed group.

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Ghaziabad, India

Sayaji Hande