Incremental Community Mining in Location-based Social Network
نویسندگان
چکیده
منابع مشابه
Parallel Community Mining in Social Network using Map-reduce
The mobile social network plays an essential role as the spread of information and relationship. This paper proposes a parallel algorithm based on MapReduce for finding community in a mobile social network where individuals communicate with one another using mobile phones with register identification information and analyzes the behavior of the communication patterns with taking the actual call...
متن کاملStatistical Approach of Social Network in Community Mining
The popularity of social networking on the web and the explosive combination with data mining techniques open up vast and so far unexplored opportunities for social intelligence on the Web. A network community is a special sub-network that contains a group of nodes sharing similar linked patterns. A social network can be defined as a graph G = (V, E), where V = {v 1 , v 2 , v 3 , ....,v n } is ...
متن کاملCommunity-Based Diffuse Efficiency Algorithm for Mining Diffusion Nodes in Social Network
The emerging of social networks opens opportunities for viral marketing. It is a fundamental issue to find a subset of diffusion nodes such that targeting them initially will maximize the range of the information spreading. The problem of finding the most influential spreaders is unfortunately NP-hard. The best known approximation algorithm has been proven to be with an approximation ratio of(1...
متن کاملMining Frequent Spatio-Temporal Patterns from Location Based Social Networks
Location Based Social Networks (LBSN) like Twitter or Instagram are a good source for user spatio-temporal behavior. These social network provide a low rate sampling of user’s location information during large intervals of time that can be used to discover complex behaviors, including frequent routes, points of interest or unusual events. This information is important for different domains like...
متن کاملIncremental Motion-Based Location Recognition
This paper describes a method to recognize the current location of a user using a few simple sensors. The proposed method is based on the integration of incremental motions (e.g., walking) over time to determine location transitions. To handle uncertainty, a fuzzy reasoning method is introduced. The paper also describes a prototype location recognition system that uses a set of inexpensive and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Engineering, Management and Science
سال: 2018
ISSN: 2454-1311
DOI: 10.22161/ijaems.4.8.8