Tracking Group Evolution in Social Networks
نویسندگان
چکیده
Easy access and vast amount of data, especially from long period of time, allows to divide social network into timeframes and create temporal social network. Such network enables to analyse its dynamics. One aspect of the dynamics is analysis of social communities evolution, i.e., how particular group changes over time. To do so, the complete group evolution history is needed. That is why in this paper the new method for group evolution extraction called GED is presented.
منابع مشابه
Enhancement of existing clustering algorithm for tracking online community in social network
Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. The increasing achievement of the Web has led people to exploit collaborative technologies in order to encourage partnerships among different groups. The problem of tracking community in social networks inferred from online interactions by tracking evoluti...
متن کاملUsing Virtual Social Networks and Social Tolerance among Youths in Tehran
Difference and diversity are phenomena existing from the very first days human communities have been formed. Under such condition, what provides for necessity of coexistence between different individuals and groups to become possible is tolerance. On the other hand, wide range development in terms of communication and providing information are going on in today’s world. This evolution called by...
متن کاملTarget Tracking Based on Virtual Grid in Wireless Sensor Networks
One of the most important and typical application of wireless sensor networks (WSNs) is target tracking. Although target tracking, can provide benefits for large-scale WSNs and organize them into clusters but tracking a moving target in cluster-based WSNs suffers a boundary problem. The main goal of this paper was to introduce an efficient and novel mobility management protocol namely Target Tr...
متن کاملTracking Communities in Dynamic Social Networks
The study of communities in social networks has attracted considerable interest from many disciplines. Most studies have focused on static networks, and in doing so, have neglected the temporal dynamics of the networks and communities. This paper considers the problem of tracking communities over time in dynamic social networks. We propose a method for community tracking using an adaptive evolu...
متن کاملTracking the Evolution of Infrastructure Systems and Mass Responses Using Publically Available Data
Networks can evolve even on a short-term basis. This phenomenon is well understood by network scientists, but receive little attention in empirical literature involving real-world networks. On one hand, this is due to the deceitfully fixed topology of some networks such as many physical infrastructures, whose evolution is often deemed unlikely to occur in short term; on the other hand, the lack...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011