Graphika Technologies, Inc.

Other

The Johns Hopkins University

Morningside Analytics, Inc.

John W Kelly

Vladimir Dmitrievich Barash

Amruta Jayant Deshpande

Adam C Fields

Christopher J Cameron

Vladimir D Barash

Michael W Macy

Vladimir Barash

Clayton R Fink

Aurora C Schmidt

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

A method for determining social contagion while monitoring social media may be executable via operation of configured processing circuitry. The method may include receiving data indicative of social media activity of a plurality of users, selecting features of interest from the data, building a relationship network indicative of connections between the users and local networks to which various ones of the users belong, analyzing the features of interest to determine candidate features for classification as social contagion, determining a complex social contagion score for the candidate features, and providing an indication regarding the classification as social contagion based on the complex social contagion score.

Method and apparatus for monitoring complex contagion and critical mass in online social media

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

Attentive clustering includes constructing an online author network, wherein constructing includes selecting a set of source nodes (S), a set of outlink targets (T) from a selected type or types of hyperlinks, and a set of edges (E) between S and T defined by the selected hyperlinks, constructing a matrix of source nodes in S linked to targets in T', wherein T&#x2032; is derived by normalizing nodes in T, and partitioning the network into at least one set of source nodes with a similar linking history to form an attentive cluster and at least one set of outlink targets with a similar citation profile to form an outlink bundle. Attentive clustering may further include applying any lists specifying inclusion or exclusion of particular nodes. Frequencies of links between attentive clusters and outlink bundles may be measured and analyzed.

System and method for attentive clustering and analytics

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New York, NY, United States of America

John W Kelly