Engaging in initial communication interactions with an unknown partner for the first time can be a daunting task. Participants often use several different strategies, including an active strategy involving getting to know their communication partners through asking other people about them. However, this strategy might not always be possible. To resolve the situation when this strategy is not suitable, we propose a method to extract keywords from the partner's comments on SNS sites and use these comments to represent their interests and activities. Keywords are visualized as a mind map for use as a communication tool when engaging in interpersonal communications. The use of this method is demonstrated and evaluated in three examples that were created from real world data collected from Twitter.

A numerical analysis model for solving non-linear wave-structure interactions, based on the coupling of a Boundary Element Method (BEM) which is applied to the region far from the structure where the fluid motion is less non-linear and a Volume Of Fluid (VOF) method which is applied to the region around the structure where the fluid motion is highly non-linear, is developed.Two methods were combined under the principles of continuities of the velocity and the pressure. The validity of the method was checked comparing the numerical results with the experimental ones for surface oscillations around a submerged breakwater. Consequently, combined method can calculate wave field including wave breaking, with the same accuracy of VOF, and with much shorter CPU-time.