Abstract: Methods and system are provided for determining a topical influence value of the individual based on aggregated viral properties of tagged content citing the individual. A processor of a computer is used to match content within a web-site with a selected topic and to tag matching content to generate tagged content. Viral properties for the tagged content are extracted, and viral properties of the tagged content citing an individual in the tagged content are aggregated to form aggregated viral properties of the tagged content citing the individual. Based on the aggregated viral properties of the tagged content citing the individual, a topical influence value of the individual can be computed.

Abstract: A method and system for determining on-line influence in social media is disclosed. A recursive site influence modeling module computes a site influence from aggregated viral properties of content hosted by the site and further integrates, in the formulation of the site influence model, the influence of commentors, commenting on the hosted content, and the influence of individuals cited in the content. The influence of the commentors and individuals is calculated by aggregating viral properties of related content and as well by taking into account the influence of outlets owned by the commentors and the individuals.

Abstract: Database computer systems are provided for determining influence of various categories of content sources on a selected brand. A brand profile using terms and URLs associated with the selected brand is stored in a database. The computer queries popular search engines over the Internet using the terms and URLs from the database as search terms. The results are classified according to their category of content sources and impact values and a brand ownership score are calculated from the classified results and from other weights associated to the ranks of the results, to the category of content sources and to the search engines. The category of content sources having ownership of the selected brand is then identified.

Abstract: A targeted advertising system and method based on memes contained in content sources are disclosed. Content matching keywords-defining topics are identified from content sources and are further processed to extract the memes. Ad networks servicing the content are also identified and their reach for each meme determined. The system and method extract also viral dynamics of the content associated to a meme and use the aggregation of the viral dynamics as a measure of engagement level for the meme. The system and method allow a Marketer to select a meme based on the engagement level and to run an ad campaign against the meme. The advertisements are delivered through an Ad network and inserted at the meme page level when the content hosting the meme is accessed, the Ad network being selected based on its reach.

Abstract: A targeted advertising system and method based on memes contained in content sources are disclosed. Content matching keywords-defining topics are identified from content sources and are further processed to extract the memes. Ad networks servicing the content are also identified and their reach for each meme determined. The system and method extract also viral dynamics of the content associated to a meme and use the aggregation of the viral dynamics as a measure of engagement level for the meme. The system and method allow a Marketer to select a meme based on the engagement level and to run an ad campaign against the meme. The advertisements are delivered through an Ad network and inserted at the meme page level when the content hosting the meme is accessed, the Ad network being selected based on its reach.

Abstract: A targeted advertising system and method based on memes contained in content sources are disclosed. Content matching keywords-defining topics are identified from content sources and are further processed to extract the memes. Ad networks servicing the content are also identified and their reach for each meme determined. The system and method extract also viral dynamics of the content associated to a meme and use the aggregation of the viral dynamics as a measure of engagement level for the meme. The system and method allow a Marketer to select a meme based on the engagement level and to run an ad campaign against the meme. The advertisements are delivered through an Ad network and inserted at the meme page level when the content hosting the meme is accessed, the Ad network being selected based on its reach.

Abstract: A method and system for determining on-line influence in social media is disclosed. A recursive site influence modeling module computes a site influence from aggregated viral properties of content hosted by the site and further integrates, in the formulation of the site influence model, the influence of commentors, commenting on the hosted content, and the influence of individuals cited in the content. The influence of the commentors and individuals is calculated by aggregating viral properties of related content and as well by taking into account the influence of outlets owned by the commentors and the individuals.

Abstract: A targeted advertising system and method based on memes contained in content sources are disclosed. Content matching keywords-defining topics are identified from content sources and are further processed to extract the memes. Ad networks servicing the content are also identified and their reach for each meme determined. The system and method extract also viral dynamics of the content associated to a meme and use the aggregation of the viral dynamics as a measure of engagement level for the meme. The system and method allow a Marketer to select a meme based on the engagement level and to run an ad campaign against the meme. The advertisements are delivered through an Ad network and inserted at the meme page level when the content hosting the meme is accessed, the Ad network being selected based on its reach.

Abstract: A method and system for determining influence of various categories of content sources on a selected brand is disclosed. The method defines a brand profile using terms and URLs associated with the selected brand and queries popular search engines using the terms and URLs as search terms. The results are classified according to their category of content sources and a brand ownership score is calculated from the classified results and from other weights associated to the ranks of the results, to the category of content sources and to the search engines. The category of content sources having ownership of the selected brand is then identified from the brand ownership score.

Abstract: A method and system for determining topical on-line influence of an entity are disclosed. An influence value of one social media outlet, such as a blog or social networking site, is calculated based on viral properties extracted from publications or posts by the entity through the social media outlet. When the entity has a number of social media outlets associated with it, the topical on-line influence value of the entity is determined based on the influence value of each of the associated social media outlets.