Other

Graphika Technologies, Inc.

Appinions Inc.

Vladimir Dmitrievich Barash

John W Kelly

Adam C Fields

Claire Cardie

Amruta Jayant Deshpande

Chia-Wei Wu

David Rusell Pierce

Laurence Levy

Shaomei Wu

Methods and systems generally include determining coordinated activity in social media movements on a social media channel. The method includes identifying a plurality of markers of coordinated activity through analysis of campaign signals from the social media movements. The plurality of markers includes a network dimension for representing how accounts are connected, a temporal dimension for representing patterns of messages over time, and a semantic dimension for representing a diversity of topics and meanings of the social media movements. The method includes analyzing the campaign signals indicative of the coordinate activity of the social media movements in the social media campaign including determining users within the social media campaign, determining clusters of users that make up the social media campaign and determining relationships between the users participating in the social media movements, and determining propagation patterns across clusters of users of the social media campaign.

Methods and systems for identifying markers of coordinated activity in social media movements

Computerized search methods and systems generally include presenting, to a user, a computer interface for specifying one or more search terms for a search query and presenting at least one selectable item corresponding to at least one of art M score and a cluster focus index (CFI) score filter for the search query. The methods and systems include generating an amended search query based on a selected item; and performing a search using the amended search query. The M score is calculated using the formula M score=count (alpha)+CFI (1-alpha), where the count is the overall number of members on a cluster focus map that has engaged with a target.

System and method for a search engine content filter

Methods and systems for generating influence scores are disclosed. A plurality of opinions of a selected topic are retrieved from a database. Influencers each associated with at least one opinion from the plurality of opinions are determined using the processor. A score is automatically generated for each influencer using the processor, the score related to the selected topic.

System and method for generating influencer scores

Growing community of inventors

Somerville, MA, United States of America

Vladimir Dmitrievich Barash