Finding Influential Users in Online Social Networks: A Tree based Approach (Record no. 14173)
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| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20210204141728.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210202b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 13157 |
| Author | Khanday, Ahmad Hilal |
| 245 ## - TITLE STATEMENT | |
| Title | Finding Influential Users in Online Social Networks: A Tree based Approach |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol 5 (3), Sep -Dec |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New Delhi |
| Name of publisher, distributor, etc. | STM Journals |
| Year | 2018 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 66-70p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | online social networking, people are getting involved in communications, but the real problem that comes to the mind is whether these communications can bring revolutions, and if so, who are the best people in given social networks that are really holding the remote control i.e. they have the power to bring these revolutions. This problem and the likes can be modelled as detecting influential users in online social networks. There can be many different ways to find influential users in social networks. Here we propose a novel method based upon tree data structure to determine the influential users in online social network. We identify influential nodes based on their positions in the network and assume that the nodes are homogeneous. This approach identifies the specific users who most influence others’ activity and does so considerably better than other methods. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 13158 |
| Co-Author | Hashmy, Rana |
| 773 0# - HOST ITEM ENTRY | |
| Place, publisher, and date of publication | Noida STM Journals |
| Title | Journal of artificial intelligence research and advances (JoAIRA) |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Click Here |
| URL | http://computers.stmjournals.com/index.php?journal=JoAIRA&page=article&op=view&path%5B%5D=1921 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
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| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 02/02/2021 | 2021-2021401 | 02/02/2021 | 02/02/2021 | Articles Abstract Database |