Information processing apparatus, information processing method and computer readable medium for assessment of event influence

An information processing method comprising:

• acquiring, as executed by an information processing apparatus, information corresponding to a first event including a starting point of the first event, an ending point of the first event, and a location of the first event;
• acquiring information corresponding to a second event including a starting point of the second event, an ending point of the second event, and a location of the second event, the location of the second event and the location of the first event being a same location;
• generating a first model of the first event, the first model including:
• an ending point that is a predetermined time after the ending point of the first event;
• and
• influence information for calculating an influence of the first event;
• generating a second model of the second event, the second model including:
• a starting point that corresponds to the starting point of the second event;
• and
• influence information for calculating an influence of the second event, the influence information for calculating an influence of the second event being used to calculate the starting point of the second model;
• and
• analyzing an influence of a combination of the first event and the second event based on:
• an overlap period corresponding to the starting point of the second model and the ending point of the first model;
• and
• at least one of the influence information of the first model and the influence information of the second model,
• wherein the starting point of the second model is a predetermined amount of time before the starting point of the second event.

A non-transitory computer readable medium storing a program for causing a computer to execute a process for information processing, the process for information processing comprising:

• acquiring information corresponding to a first event including a starting point of the first event, an ending point of the first event, and a location of the first event;
• acquiring information corresponding to a second event including a starting point of the second event, an ending point of the second event, and a location of the second event, the location of the second event and the location of the first event being a same location;
• generating a first model of the first event, the first model including:
• an ending point that is a predetermined time after the ending point of the first event;
• and
• influence information for calculating an influence of the first event;
• generating a second model of the second event, the second model including:
• a starting point that corresponds to the starting point of the second event;
• and
• influence information for calculating an influence of the second event, the influence information for calculating an influence of the second event being used to calculate the starting point of the second model;
• and
• analyzing an influence of a combination of the first event and the second event based on:
• an overlap period corresponding to the starting point of the second model and the ending point of the first model;
• and
• at least one of the influence information of the first model and the influence information of the second model,
• wherein the ending point of the first event is before the starting point of the second event, and
• wherein the starting point of the second model is a predetermined amount of time before the starting point of the second event.

A system comprising:

• a model generating module, as executed by a processor, that generates a first model of a first event and a second model of a second event, the first event having a period that does not overlap a period of the second event, the first model modeling an influence of the first event and the second model modeling an influence of the second event, the first model having a period that overlaps a period of the second model;
• and
• an analyzing module that analyzes an influence between the first event and the second based on the first model, the second model, and a period of the overlap between the period of the first model and the period of the second model,
• wherein the starting point of the second model is a predetermined amount of time before the starting point of the second event.