Abstract—People frequently interact through
communication and social software in their daily life. In
addition to strengthening emotional connections between
relatives and friends, social software also enable people to
accumulate large amounts of information daily. Although such
communications might contain numerous trivial matters, it
may also include pertinent details, such as personal emotions,
work matters, and activities of the users’ and their friends.
Therefore, our study aims to collect and analyse these
communications and resemble a diary in that it indirectly
records all activities communicated using it. After the
integration and categorization of these messages, the key points
from these events and conversations are summarized and
recorded. The sentiment of the conversations can be inferred
from the analysis and interpretation of semantic meaning of the
information. Finally, the analytical results are organized to
establish a robust living context map.
Index Terms—Social network, data analysis, visualization.
The authors are with Southern Taiwan University of Science and
Technology, Taiwan (e-mail: yinzx@stust.edu.tw, npp32287@stust.edu.tw).
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Cite: Zong-Xian Yin and He-Yi Tsai, "Create Living Context Map from Social Network," International Journal of Future Computer and Communication vol. 7, no.4, pp. 103-106, 2018.
