Fuzzy and neutrosophic modeling for link prediction in social networks

被引：31

作者：

Tuan, Tran Manh ^{[1
]}

Chuan, Pham Minh ^{[2
]}

Ali, Mumtaz ^{[3
]}

Ngan, Tran Thi ^{[1
]}

Mittal, Mamta ^{[4
]}

Son, Le Hoang ^{[5
]}

机构：

[1] Thuyloi Univ, 175 Tay Son, Hanoi, Vietnam

[2] Hung Yen Univ Technol & Educ, Hung Yen, Vietnam

[3] Univ Southern Queensland, Toowoomba, Qld 4300, Australia

[4] Govind Ballabh Pant Engn Coll, Phase 3, New Delhi, India

[5] Vietnam Natl Univ, VNU Informat Technol Inst, Hanoi, Vietnam

来源：

EVOLVING SYSTEMS | 2019年 / 10卷 / 04期

关键词：

Co-authorship network; Link prediction; Social networks; Fuzzy similarity measures; Neutrosophic measures; CONCEPT LATTICE; SETS; REPRESENTATION;

D O I：

10.1007/s12530-018-9251-y

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Some new similarity measures for link prediction based on fuzzy and neutrosophic environments are proposed. It aims to determine possible association between two objects in a social network represented by a graph including nodes and edges. It is widely used in various domains such as in the co-authorship network and protein-interaction systems. Similarity measure is an important tool for such the determination. Herein, some new fuzzy and neutrosophic measures are proposed accompanied with mathematical properties. The validation on the co-authorship network datasets demonstrates the efficiency of the proposed method.

引用

页码：629 / 634

页数：6

共 50 条

[1] Fuzzy and neutrosophic modeling for link prediction in social networks
Tran Manh Tuan
Pham Minh Chuan
Mumtaz Ali
Tran Thi Ngan
Mamta Mittal
Le Hoang Son
[J]. Evolving Systems, 2019, 10 : 629 - 634
[2] Link Prediction in Social Networks by Neutrosophic Graph
Mahapatra, Rupkumar
Samanta, Sovan
Pal, Madhumangal
Xin, Qin
[J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2020, 13 (01) : 1699 - 1713
[3] Link Prediction in Social Networks by Neutrosophic Graph
Rupkumar Mahapatra
Sovan Samanta
Madhumangal Pal
Qin Xin
[J]. International Journal of Computational Intelligence Systems, 2020, 13 : 1699 - 1713
[4] Fuzzy Models for Link Prediction in Social Networks
Bastani, Susan
Jafarabad, Ahmad Khalili
Zarandi, Mohammad Hossein Fazel
[J]. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2013, 28 (08) : 768 - 786
[5] Link Prediction in Signed Social Networks using Fuzzy Signature
D'Aniello, Giuseppe
Gaeta, Matteo
Reformat, Marek
Troisi, Filippo
[J]. 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2019, : 2524 - 2529
[6] A Link Prediction in Social Networks: A Fuzzy Cognitive Map Approach
Sharma, Upasana
Kandwal, Srishti
Khatri, Sunil Kumar
[J]. AMBIENT COMMUNICATIONS AND COMPUTER SYSTEMS, RACCCS 2017, 2018, 696 : 463 - 473
[7] Link prediction in fuzzy social networks using distributed learning automata
Moradabadi, Behnaz
Meybodi, Mohammad Reza
[J]. APPLIED INTELLIGENCE, 2017, 47 (03) : 837 - 849
[8] Link prediction in fuzzy social networks using distributed learning automata
Behnaz Moradabadi
Mohammad Reza Meybodi
[J]. Applied Intelligence, 2017, 47 : 837 - 849
[9] Link Prediction in Heterogeneous Social Networks
Negi, Sumit
Chaudhury, Santanu
[J]. CIKM'16: PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, 2016, : 609 - 617
[10] A Review of Link Prediction in Social Networks
Wang, Tingli
Liao, Guoqiong
[J]. 2014 INTERNATIONAL CONFERENCE ON MANAGEMENT OF E-COMMERCE AND E-GOVERNMENT (ICMECG), 2014, : 147 - 150

← 1 2 3 4 5 →