TY - GEN
T1 - How to become a group leader? Or modeling author types based on graph mining
AU - Tsatsaronis, George
AU - Varlamis, Iraklis
AU - Torge, Sunna
AU - Reimann, Matthias
AU - Nørvåg, Kjetil
AU - Schroeder, Michael
AU - Zschunke, Matthias
PY - 2011
Y1 - 2011
N2 - Bibliographic databases are a prosperous field for data mining research and social network analysis. The representation and visualization of bibliographic databases as graphs and the application of data mining techniques can help us uncover interesting knowledge regarding how the publication records of authors evolve over time. In this paper we propose a novel methodology to model bibliographical databases as Power Graphs, and mine them in an unsupervised manner, in order to learn basic author types and their properties through clustering. The methodology takes into account the evolution of the co-authorship information, the volume of published papers over time, as well as the impact factors of the venues hosting the respective publications. As a proof of concept of the applicability and scalability of our approach, we present experimental results in the DBLP data.
AB - Bibliographic databases are a prosperous field for data mining research and social network analysis. The representation and visualization of bibliographic databases as graphs and the application of data mining techniques can help us uncover interesting knowledge regarding how the publication records of authors evolve over time. In this paper we propose a novel methodology to model bibliographical databases as Power Graphs, and mine them in an unsupervised manner, in order to learn basic author types and their properties through clustering. The methodology takes into account the evolution of the co-authorship information, the volume of published papers over time, as well as the impact factors of the venues hosting the respective publications. As a proof of concept of the applicability and scalability of our approach, we present experimental results in the DBLP data.
KW - Authors' Clustering
KW - Graph Mining
KW - Power Graph Analysis
UR - http://www.scopus.com/inward/record.url?scp=80053010432&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-24469-8_4
DO - 10.1007/978-3-642-24469-8_4
M3 - Contribución a la conferencia
AN - SCOPUS:80053010432
SN - 9783642244681
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 15
EP - 26
BT - Research and Advanced Technology for Digital Libraries - International Conference on Theory and Practice of Digital Libraries, TPDL 2011, Proceedings
T2 - International Conference on Theory and Practice of Digital Libraries, TPDL 2011
Y2 - 26 September 2011 through 28 September 2011
ER -