Title :
Analyzing Temporal Networks in Social Media
Author_Institution :
Dept. of Energy Sci., Sungkyunkwan Univ., Ume, Sweden
Abstract :
Many types of social media metadata come in forms of temporal networks, networks where we have information about not only who is in contact with whom but also when contacts happen. In this paper, we review methods to analyze temporal networks developed in the last few years applied to social media data. These methods seek to identify important spreaders and, in more generality, how the temporal and topological structure of interaction affects spreading processes.
Keywords :
data analysis; information analysis; meta data; social networking (online); social media metadata; spreading process; temporal networks analysis; temporal structure; topological structure; Complex networks; Internet; Media; Semantics; Social network services; Network analysis; social network services; temporal networks;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/JPROC.2014.2361326