受惠於智慧型手機的方便性、即時性及多功能性,使用者的行為模式已自慣用的桌上型電腦或筆電逐步轉移到智慧型手機之上。尤其是針對社群網絡的使用者們,面對不斷精進的智慧型手機硬體規格以及行動網絡速率,一股社群網路湧進行動平台的趨勢已銳不可擋。然而,移動社群網路不該僅只於行動過程中訪問線上社群網路的功能,若能透過GPS、加速傳感器等功能,記錄共同性質的物理資訊(如:地點、相遇、活動等資訊),則有機會拓展或深化個人社交範圍。有鑑於此,透過行動裝置內建的傳感器功能,可得知在移動社群網路環境中,使用者彼此之間的互動行為。不過,過去研究大多強調社群網路用於行動裝置上的概念 (Social networking on mobile),顯少以移動自組社群網路 (Mobile social networking) 作為出發點。因此,本研究欲將探討如何藉由使用者的資訊互動行為及碰面頻率等紀錄,作為訊息散播的判斷決策,使訊息能夠有效抵達標的市場,發揮訊息的最大效用。
As popularity of smartphone rises, people gradually changed their behavior on using the electronic devices. Since there’s an enormous demand on real-time social network, in comparison with normal PC or laptop, smartphones have more convenience and mobility that can easily connect to the online platform. And this phenomenon will get even prosperity with the help of speeding 4G network and the evolutional features on our handy devices. However, mobile social networking should not only cover the accessibility to network platform, but also can rely on GPS or gyroscope information to dig out other hidden physical characteristics. This additional information can help services provider to capture users’ location and activities, and in addition to strengthen the social relationship. Although previous researches have mostly focused on the concept of social networking on mobile, few studies have discussed how to utilize the user information based on the concept of mobile social networking. As a result, our study works on an effective way to utilize the information between user interactions (i.e. their activity or encounter frequency), and further maximum the value from the hidden information.