1. A method, comprising: identifying, by a computing device, social signal data based on social signals published using social media accounts, the social signal data including first information that includes a content of the social signals and second information that is different than the first information, wherein the second information includes metadata; identifying, by the computing device, conversations in the social signals using said second information; grouping, by the computing device, the conversations into topic clusters using the first information, wherein said grouping using the first information comprises: forming a first set of topic clusters that corresponds to a first time; and forming one or more second sets of topic clusters that correspond to one or more second different times, respectively; and wherein, responsive to the grouping using the first information, a first one of the conversations is grouped with a second one of the conversations into a same one of the topic clusters of the first set or the one or more second sets, the first one of the conversations based on a root social signal of the social signals that is not explicitly linked, by the second information, with a different root social signal on which the second one of the conversations is based; and linking, by the computing device, the topic clusters together into a plurality of conversation streams, wherein a first conversation stream of the plurality of conversation streams includes a topic cluster of the first set and at least one associated topic cluster of the one or more second sets, and wherein a second conversation stream of the plurality of conversation streams includes a different topic cluster of the first set and at least one associated topic cluster of the one or more second sets; calculating, by the computing device, strengths of the different conversation streams based on a quantity of the social signals contributing to the conversation streams and a quantity and types of followers associated with the conversation streams; and deriving, by the computing device, a score for one of the social media accounts based on the strengths of the conversation streams.
1. A method, comprising: identifying, by a computing device, social signal data based on social signals published using social media accounts, the social signal data including first information that includes a content of the social signals and second information that is different than the first information, wherein the second information includes metadata; identifying, by the computing device, conversations in the social signals using said second information; grouping, by the computing device, the conversations into topic clusters using the first information, wherein said grouping using the first information comprises: forming a first set of topic clusters that corresponds to a first time; and forming one or more second sets of topic clusters that correspond to one or more second different times, respectively; and wherein, responsive to the grouping using the first information, a first one of the conversations is grouped with a second one of the conversations into a same one of the topic clusters of the first set or the one or more second sets, the first one of the conversations based on a root social signal of the social signals that is not explicitly linked, by the second information, with a different root social signal on which the second one of the conversations is based; and linking, by the computing device, the topic clusters together into a plurality of conversation streams, wherein a first conversation stream of the plurality of conversation streams includes a topic cluster of the first set and at least one associated topic cluster of the one or more second sets, and wherein a second conversation stream of the plurality of conversation streams includes a different topic cluster of the first set and at least one associated topic cluster of the one or more second sets; calculating, by the computing device, strengths of the different conversation streams based on a quantity of the social signals contributing to the conversation streams and a quantity and types of followers associated with the conversation streams; and deriving, by the computing device, a score for one of the social media accounts based on the strengths of the conversation streams. 2. The method of claim 1 , wherein identifying the conversations in the social signals using the second information comprises identifying ones of the socials signals associated with a same root message.