WEIGHTED ESTIMATION OF INFORMATION DIFFUSION PROBABILITIES FOR INDEPENDENT CASCADE MODEL

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Mashayekhi Yoosof; MEYBODI MOHAMMAD REZA; Rezvanian Alireza

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

Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2018 | Issue:4

Download Full-Text

View:

119

Download:

201

Information Seminar Paper

Title

WEIGHTED ESTIMATION OF INFORMATION DIFFUSION PROBABILITIES FOR INDEPENDENT CASCADE MODEL

Author(s)

Mashayekhi Yoosof | MEYBODI MOHAMMAD REZA | Rezvanian Alireza

Keywords

INDEPENDENT CASCADE MODEL

INFORMATION DIFFUSION

SOCIAL NETWORK ANALYSIS

Abstract

IN RECENT YEARS, SOCIAL NETWORKS HAVE BECOME POPULAR AMONG INTERNET USERS, AND VARIOUS STUDIES HAVE BEEN PERFORMED ON ANALYSIS OF SUCH NETWORKS. ONE OF THE IMPORTANT ISSUES IN ANALYZING SOCIAL NETWORKS IS INFORMATION DIFFUSION ANALYSIS. IN THIS CONTEXT, USERS' BEHAVIOR IS ASSUMED TO BE INFLUENCED BY OTHER SOCIAL NETWORK USERS. SEVERAL MODELS HAVE BEEN DESIGNED TO SIMULATE AND ANALYZE HOW INFORMATION IS DISSEMINATED IN SOCIAL NETWORKS. IN THIS PAPER, WE STUDY THE PROBLEM OF LEARNING THE DIFFUSION PROBABILITIES FOR THE INDEPENDENT CASCADE MODEL. WE FIRST OUTLINE THE IMPORTANCE OF THE SUBJECT, AND THEN WE PROPOSE A METHOD TO ESTIMATE DIFFUSION PROBABILITIES. IN THIS METHOD, WE ASSIGN A WEIGHT TO EACH INDIVIDUAL DIFFUSION SAMPLE OF EACH LINK IN THE NETWORK BASED ON ITS PARAMETERS. WE PROPOSE TWO WEIGHTING SCHEMES TO CONSIDER THE DIFFERENT EFFECTS OF DIFFUSION SAMPLES. THEN, WE EVALUATE OUR METHOD FOR LEARNING DIFFUSION PROBABILITIES WITH THE HELP OF SEVERAL DATASETS AND PRESENT THE RESULTS. ALSO, THE METHOD PRESENTED IN THIS PAPER IS COMPARED WITH OTHER METHODS IN TERMS OF MEAN ABSOLUTE ERROR AND TRAINING TIME.

Cites

No record.

References

No record.

Cite

APA: Copy

Mashayekhi, Yoosof, MEYBODI, MOHAMMAD REZA, & Rezvanian, Alireza. (2018). WEIGHTED ESTIMATION OF INFORMATION DIFFUSION PROBABILITIES FOR INDEPENDENT CASCADE MODEL. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/948812/en

Vancouver: Copy

Mashayekhi Yoosof, MEYBODI MOHAMMAD REZA, Rezvanian Alireza. WEIGHTED ESTIMATION OF INFORMATION DIFFUSION PROBABILITIES FOR INDEPENDENT CASCADE MODEL. 2018. Available from: https://sid.ir/paper/948812/en

IEEE: Copy

Yoosof Mashayekhi, MOHAMMAD REZA MEYBODI, and Alireza Rezvanian, “WEIGHTED ESTIMATION OF INFORMATION DIFFUSION PROBABILITIES FOR INDEPENDENT CASCADE MODEL,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2018, [Online]. Available: https://sid.ir/paper/948812/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops