Co-opetition index based on rival behavior in social networks

1. A method implemented by an information handling system that includes a memory and a processor to create a co-opetition index, the method 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.

2. The method of claim 1 further comprising:

creating a profile of the organization, wherein the profile includes one or more keywords and a list of business actions that include the plurality of possible next business actions; and

comparing the profile to the ingested data to identify the plurality of competitors.

3. The method of claim 1 further comprising:

updating the plurality of competitors based on the plurality of competitor activities; and

further adjusting the co-opetition index corresponding to the selected competitor based on identified associations of the selected competitor with one or more known rivals of the organization.

4. The method of claim 1 further comprising:

identifying a new competitor to the organization based on an analysis of the plurality of competitor activities;

adding the new competitor to the plurality of competitors of the organization; and

alerting the user of the new competitor.

5. The method of claim 1 further comprising:

performing a Bayesian game theory analysis on each of the identified plurality of possible next business actions, wherein the analysis results in a payoff value associated with each of the identified plurality of possible next business actions.

6. The method of claim 1 further comprising:

selecting the at least one possible next business action based on the maximized payoff, wherein the payoff is maximized when the co-opetition index of the selected competitor is halfway between a minimum and a maximum value on the competitiveness scale.

7. 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.

8. The information handling system of claim 7 wherein the actions further comprise:

creating a profile of the organization, wherein the profile includes one or more keywords and a list of business actions that include the plurality of possible next business actions; and

comparing the profile to the ingested data to identify the plurality of competitors.

9. The information handling system of claim 7 wherein the actions further comprise:

updating the plurality of competitors based on the plurality of competitor activities; and

further adjusting the co-opetition index corresponding to the selected competitor based on identified associations of the selected competitor with one or more known rivals of the organization.

10. The information handling system of claim 7 wherein the actions further comprise:

identifying a new competitor to the organization based on an analysis of the plurality of competitor activities

adding the new competitor to the plurality of competitors of the organization; and

alerting the user of the new competitor.

11. The information handling system of claim 7 wherein the actions further comprise:

performing a Bayesian game theory analysis on each of the identified plurality of possible next business actions, wherein the analysis results in a payoff value associated with each of the identified plurality of possible next business actions.

12. The information handling system of claim 7 wherein the actions further comprise:

selecting the at least one possible next business action based on the maximized payoff, wherein the payoff is maximized when the co-opetition index of the selected competitor is halfway between a minimum and a maximum value on the competitiveness scale.

13. 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.

14. The computer program product of claim 13 wherein the actions further comprise:

creating a profile of the organization, wherein the profile includes one or more keywords and a list of business actions that include the plurality of possible next business actions; and

comparing the profile to the ingested data to identify the plurality of competitors.

15. The computer program product of claim 13 wherein the actions further comprise:

updating the plurality of competitors based on the plurality of competitor activities; and

further adjusting the co-opetition index corresponding to the selected competitor based on identified associations of the selected competitor with one or more known rivals of the organization.

16. The computer program product of claim 13 wherein the actions further comprise:

identifying a new competitor to the organization based on an analysis of the plurality of competitor activities

adding the new competitor to the plurality of competitors of the organization; and

alerting the user of the new competitor.

17. The computer program product of claim 13 wherein the actions further comprise:

performing a Bayesian game theory analysis on each of the identified plurality of possible next business actions, wherein the analysis results in a payoff value associated with each of the identified plurality of possible next business actions.