TY - GEN
T1 - Mining influential bloggers
T2 - 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009
AU - Caiv, Yichuan
AU - Chen, Yi
PY - 2009
Y1 - 2009
N2 - With rapid development of web 2.0 technology and e-business, bloggers play significant roles in the whole blogosphere as well as the external world. Specially, the most influential bloggers can bring great business values to modern enterprise in multiple ways, by increasing market profits and enlarging business impacts. The bloggers' influences can be deployed only in a specific domain, e.g. computer companies only can utilize the influence bloggers' expertise in computer knowledge, not their expertise in modern art or others. Despite that several influential bloggers mining systems are available, none of them consider the domain specific feature and their evaluations are based on generic influence, which is not applicable for real application requirements, such as business advertisement, personalized recommendation and so on. In this paper, we propose an effective model to mine the top-k influential bloggers according to their interest domains and network proximity. We investigate an effective algorithm to evaluate a blogger's influence and develop a domain specific influential blogger mining system. The experiment results show that our system can effectively mine influential bloggers and is applicable to diverse applications.
AB - With rapid development of web 2.0 technology and e-business, bloggers play significant roles in the whole blogosphere as well as the external world. Specially, the most influential bloggers can bring great business values to modern enterprise in multiple ways, by increasing market profits and enlarging business impacts. The bloggers' influences can be deployed only in a specific domain, e.g. computer companies only can utilize the influence bloggers' expertise in computer knowledge, not their expertise in modern art or others. Despite that several influential bloggers mining systems are available, none of them consider the domain specific feature and their evaluations are based on generic influence, which is not applicable for real application requirements, such as business advertisement, personalized recommendation and so on. In this paper, we propose an effective model to mine the top-k influential bloggers according to their interest domains and network proximity. We investigate an effective algorithm to evaluate a blogger's influence and develop a domain specific influential blogger mining system. The experiment results show that our system can effectively mine influential bloggers and is applicable to diverse applications.
UR - http://www.scopus.com/inward/record.url?scp=70849097749&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70849097749&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-04592-9_56
DO - 10.1007/978-3-642-04592-9_56
M3 - Conference contribution
AN - SCOPUS:70849097749
SN - 364204591X
SN - 9783642045912
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 447
EP - 454
BT - Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings
Y2 - 28 September 2009 through 30 September 2009
ER -