TY - JOUR
T1 - Graph theory application and web page ranking for website link structure improvement
AU - Abedin, Babak
AU - Sohrabi, Babak
PY - 2009/1
Y1 - 2009/1
N2 - Since the web is always developing, and users' needs are constantly changing, organisations in recent decades have increasingly focused on developing information and communication technologies (ICTs). To introduce new e-services to their customers, they have largely invested in web development and promotional activities. The present study, therefore, describes a novel approach for evaluating and improving website link structure by using web usage mining, as well as assessing the usage pattern of an Iranian organisation. Analysing this pattern, the visited paths are illustrated and the website is modelled as a directed graph. On the basis of graph theory definitions, some measures are introduced and applied to evaluate website usability and link structures. Finally, a ranking improvement strategy is proposed and findings are discussed.
AB - Since the web is always developing, and users' needs are constantly changing, organisations in recent decades have increasingly focused on developing information and communication technologies (ICTs). To introduce new e-services to their customers, they have largely invested in web development and promotional activities. The present study, therefore, describes a novel approach for evaluating and improving website link structure by using web usage mining, as well as assessing the usage pattern of an Iranian organisation. Analysing this pattern, the visited paths are illustrated and the website is modelled as a directed graph. On the basis of graph theory definitions, some measures are introduced and applied to evaluate website usability and link structures. Finally, a ranking improvement strategy is proposed and findings are discussed.
KW - Graph theory
KW - Log file
KW - Q-sort ranking
KW - Web site usability
UR - http://www.scopus.com/inward/record.url?scp=60649097743&partnerID=8YFLogxK
U2 - 10.1080/01449290701840948
DO - 10.1080/01449290701840948
M3 - Article
AN - SCOPUS:60649097743
SN - 0144-929X
VL - 28
SP - 63
EP - 72
JO - Behaviour and Information Technology
JF - Behaviour and Information Technology
IS - 1
ER -