Co-opetition index based on rival behavior in social networks

An information handling system comprising:

• one or more processors;
• one or more data stores accessible by at least one of the processors;
• a memory coupled to at least one of the processors;
• and
• a set of computer program instructions stored in the memory and executed by at least one of the processors in order to create a co-opetition index by performing actions comprising:
• ingesting data from a plurality of online sources into a question answering (QA) system corpus;
• submitting a formulated natural language competitive-oriented question to the QA system;
• receiving a plurality of responses from the QA system based on the ingested data, wherein the plurality of responses comprise a plurality of competitor activities associated with a plurality of competitors of an organization in a co-opetition environment;
• ranking the plurality of competitor activities by a strength value associated with its corresponding one of the plurality of competitors and a set of profile data associated with the organization;
• comparing the ranked plurality of competitor activities to a threshold and filtering the ranked plurality of competitor activities based on the comparison;
• automatically identifying a plurality of possible next business actions to perform based on the filtered competitor activities;
• analyzing the plurality of possible next business actions using a game theory analysis, wherein the analyzing results in an identification of at least one of the plurality of possible next business actions that maximize a payoff in the co-opetition environment;
• adjusting a co-opetition index corresponding to a selected one of the plurality of competitors based on a classification of the identified at least one possible next business action on a competitiveness scale, wherein the classification is selected from the group consisting of a competitive classification and a collaborative classification;
• and
• alerting a user in the organization of the at least one of the possible next business action based on the adjusted co-opetition index.

A computer program product stored in a computer readable storage medium, comprising computer program code that, when executed by an information handling system, causes the information handling system to create a co-opetition index by performing actions comprising:

• ingesting data from a plurality of online sources into a question answering (QA) system corpus;
• submitting a formulated natural language competitive-oriented question to the QA system;
• receiving a plurality of responses from the QA system based on the ingested data, wherein the plurality of responses comprise a plurality of competitor activities associated with a plurality of competitors of an organization in a co-opetition environment;
• ranking the plurality of competitor activities by a strength value associated with its corresponding one of the plurality of competitors and a set of profile data associated with the organization;
• comparing the ranked plurality of competitor activities to a threshold and filtering the ranked plurality of competitor activities based on the comparison;
• automatically identifying a plurality of possible next business actions to perform based on the filtered competitor activities;
• analyzing the plurality of possible next business actions using a game theory analysis, wherein the analyzing results in an identification of at least one of the plurality of possible next business actions that maximize a payoff in the co-opetition environment;
• adjusting a co-opetition index corresponding to a selected one of the plurality of competitors based on a classification of the identified at least one possible next business action on a competitiveness scale, wherein the classification is selected from the group consisting of a competitive classification and a collaborative classification;
• and
• alerting a user in the organization of the at least one of the possible next business action based on the adjusted co-opetition index.