REFERRAL TRAFFIC ANALYSIS: A CASE STUDY OF THE IRANIAN STUDENTS' NEWS AGENCY (ISNA)

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HASSANIAN ESFAHANI ROYA; KARGAR MOHAMMAD JAVAD

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Information Systems and Telecommunication Year:2016 | Volume:4 | Issue:1 (13) Page(s): 42-49

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Title

REFERRAL TRAFFIC ANALYSIS: A CASE STUDY OF THE IRANIAN STUDENTS' NEWS AGENCY (ISNA)

Author(s)

HASSANIAN ESFAHANI ROYA | KARGAR MOHAMMAD JAVAD | Issue Writer Certificate

Keywords

REFERRAL TRAFFIC

DATA MINING

K-MEANS CLUSTERING

ONLINE NEWS

Abstract

Web traffic analysis is a well-known e-marketing activity. Today most of the news agencies have entered the web providing a variety of online services to their customers. The number of ONLINE NEWS consumers is also increasing dramatically all over the world. A news website usually benefits from different acquisition channels including organic search services, paid search services, referral links, direct hits, links from online social media, and e-mails. This article presents the results of an empirical study of analyzing REFERRAL TRAFFIC of a news website through DATA MINING techniques. Main methods include correlation analysis, outlier detection, clustering, and model performance evaluation. The results decline any significant relationship between the amount of REFERRAL TRAFFIC coming from a referrer website and the website's popularity state. Furthermore, the referrer websites of the study fit into three clusters applying K-means Squared Euclidean Distance clustering algorithm. Performance evaluations assure the significance of the model. Also, among detected clusters, the most populated one has labeled as "Automatic News Aggregator Websites" by the experts. The findings of the study help to have a better understanding of the different referring behaviors, which form around 15% of the overall traffic of Iranian Students' News Agency (ISNA) website. They are also helpful to develop more efficient online marketing plans, business alliances, and corporate strategies.

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APA: Copy

HASSANIAN ESFAHANI, ROYA, & KARGAR, MOHAMMAD JAVAD. (2016). REFERRAL TRAFFIC ANALYSIS: A CASE STUDY OF THE IRANIAN STUDENTS' NEWS AGENCY (ISNA). JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), 4(1 (13)), 42-49. SID. https://sid.ir/paper/332687/en

Vancouver: Copy

HASSANIAN ESFAHANI ROYA, KARGAR MOHAMMAD JAVAD. REFERRAL TRAFFIC ANALYSIS: A CASE STUDY OF THE IRANIAN STUDENTS' NEWS AGENCY (ISNA). JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST)[Internet]. 2016;4(1 (13)):42-49. Available from: https://sid.ir/paper/332687/en

IEEE: Copy

ROYA HASSANIAN ESFAHANI, and MOHAMMAD JAVAD KARGAR, “REFERRAL TRAFFIC ANALYSIS: A CASE STUDY OF THE IRANIAN STUDENTS' NEWS AGENCY (ISNA),” JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), vol. 4, no. 1 (13), pp. 42–49, 2016, [Online]. Available: https://sid.ir/paper/332687/en

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