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: Methods are provided for exploiting the secondary traffic generated by social networking sites. Traffic on a commercial website is constantly monitored by a web analytics tool that collects traffic measurements of hits, button presses, enquiries, purchases etc., as well as the referrer URL of a site, such as a social networking site, through which the commercial website is accessed. The collected measurements are forwarded to a referred traffic analysis system. Concurrently, the referred traffic analysis system crawls the Internet and collects a large number of social networking sites, analyses their content by extracting insight terms and phrases from them. The collected traffic measurements are correlated with the collected insights from the social networking sites, and the top insights that reoccur frequently enough to appear to be a driver for the measurements observed, are presented to the client. A corresponding system is also provided.

Abstract: Methods and systems for compiling marketing information for a client are provided. Data can be obtained from a plurality of social media websites, where each of the social media websites includes a universal resource identifier that points to a client website. A plurality of insights can be extracted from the obtained data, resulting in extracted insights. Each of the extracted insights comprises text elements that denote product approval for at least one product available for sale at the client website. Measurements of traffic to the client website can be collected, the traffic being referred to the client website by the plurality of social media websites. A referred traffic dynamics summary table can then be generated based on the extracted insights and the measurements of traffic. The referred traffic dynamics summary table aggregates the extracted insights across the plurality of social media websites to rank the extracted insights.

Abstract: Methods and systems are provided for processing social media data. The method includes receiving a request from a user for social media analytics of social media data; sending the social media data to a first analytics provider and a second analytics provider; receiving first analytics data from the first data analytics provider and second analytics data from the second analytics provider; storing the first analytics data and the second analytics data in a database; and presenting the first analytics data and the second analytics data to the user.

Abstract: Methods and systems for compiling marketing information for a client are provided. Data can be obtained from a plurality of social media websites, where each of the social media websites includes a universal resource identifier that points to a client website. A plurality of insights can be extracted from the obtained data, resulting in extracted insights. Each of the extracted insights comprises text elements that denote product approval for at least one product available for sale at the client website. Measurements of traffic to the client website can be collected, the traffic being referred to the client website by the plurality of social media websites. A referred traffic dynamics summary table can then be generated based on the extracted insights and the measurements of traffic. The referred traffic dynamics summary table aggregates the extracted insights across the plurality of social media websites to rank the extracted insights.

Abstract: Systems and methods are provided for collecting and analyzing packet data flows. A flow collector generates flow data records based on each packet that is observed at one or more network monitoring points. A flow processor receives the flow data records from one or more flow collectors and examines the flow data records to identify related flows. Further features, such as content capture and application identification, are also provided.

Abstract: Methods and a system for exploiting the secondary traffic generated by social networking sites are disclosed. Traffic on a commercial website is constantly monitored by a web analytics tool, which collects traffic measurements of hits, button presses, enquiries, purchases etc., as well as the referrer URL of a site such as a social networking site through which the commercial website is accessed. The collected measurements are forwarded to a Referred Traffic Analysis System. Concurrently, the Referred Traffic Analysis System crawls the Internet and collects a large number of social networking sites, analyses their content by extracting insight terms and phrases from them. In a third step, the collected traffic measurements are correlated with the collected insights from the social networking sites, and the top insights that reoccur frequently enough to appear to be a driver for the measurements observed, are presented to the client. A corresponding system is also provided.

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: Methods and a system for exploiting the secondary traffic generated by social networking sites are disclosed. Traffic on a commercial website is constantly monitored by a web analytics tool, which collects traffic measurements of hits, button presses, enquiries, purchases etc., as well as the referrer URL of a site such as a social networking site through which the commercial website is accessed. The collected measurements are forwarded to a Referred Traffic Analysis System. Concurrently, the Referred Traffic Analysis System crawls the Internet and collects a large number of social networking sites, analyses their content by extracting insight terms and phrases from them. In a third step, the collected traffic measurements are correlated with the collected insights from the social networking sites, and the top insights that reoccur frequently enough to appear to be a driver for the measurements observed, are presented to the client. A corresponding system is also provided.

Abstract: Systems and methods are provided for collecting and analyzing packet data flows. A flow collector generates flow data records based on each packet that is observed at one or more network monitoring points. A flow processor receives the flow data records from one or more flow collectors and examines the flow data records to identify related flows. Further features, such as content capture and application identification, are also provided.

Abstract: Methods and a system for exploiting the secondary traffic generated by social networking sites are disclosed. Traffic on a commercial website is constantly monitored by a web analytics tool, which collects traffic measurements of hits, button presses, enquiries, purchases etc., as well as the referrer URL of a site such as a social networking site through which the commercial website is accessed. The collected measurements are forwarded to a Referred Traffic Analysis System. Concurrently, the Referred Traffic Analysis System crawls the Internet and collects a large number of social networking sites, analyses their content by extracting insight terms and phrases from them. In a third step, the collected traffic measurements are correlated with the collected insights from the social networking sites, and the top insights that reoccur frequently enough to appear to be a driver for the measurements observed, are presented to the client. A corresponding system is also provided.

Abstract: Methods and systems are provided for processing social media data. The method includes receiving a request from a user for social media analytics of social media data; sending the social media data to a first analytics provider and a second analytics provider; receiving first analytics data from the first data analytics provider and second analytics data from the second analytics provider; storing the first analytics data and the second analytics data in a database; and presenting the first analytics data and the second analytics data to the user.

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: Methods and a system for exploiting the secondary traffic generated by social networking sites are disclosed. Traffic on a commercial website is constantly monitored by a web analytics tool, which collects traffic measurements of hits, button presses, enquiries, purchases etc, as well as the referrer URL of a site such as a social networking site through which the commercial website is accessed. The collected measurements are forwarded to a Referred Traffic Analysis System. Concurrently, the Referred Traffic Analysis System crawls the Internet and collects a large number of social networking sites, analyses their content by extracting insight terms and phrases from them. In a third step, the collected traffic measurements are correlated with the collected insights from the social networking sites, and the top insights that reoccur frequently enough to appear to be a driver for the measurements observed, are presented to the client. A corresponding system is also provided.

Abstract: Methods and a system for exploiting the secondary traffic generated by social networking sites are disclosed. Traffic on a commercial website is constantly monitored by a web analytics tool, which collects traffic measurements of hits, button presses, enquiries, purchases etc, as well as the referrer URL of a site such as a social networking site through which the commercial website is accessed. The collected measurements are forwarded to a Referred Traffic Analysis System. Concurrently, the Referred Traffic Analysis System crawls the Internet and collects a large number of social networking sites, analyses their content by extracting insight terms and phrases from them. In a third step, the collected traffic measurements are correlated with the collected insights from the social networking sites, and the top insights that reoccur frequently enough to appear to be a driver for the measurements observed, are presented to the client. A corresponding system is also provided.

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.