1 |
徐郡明,朱福喜,刘世超,等. 改进LeaderRank算法的意见领袖挖掘[J]. 计算机工程与应用, 2015, 51(1):110-114, 166. 10.3778/j.issn.1002-8331.1403-0032
|
|
XU J M, ZHU F X, LIU S C, et al. Identifying opinion leaders by improved algorithm based on LeaderRank[J]. Computer Engineering and Applications, 2015, 51(1): 110-114, 116. 10.3778/j.issn.1002-8331.1403-0032
|
2 |
WEN S, HAGHIGHI M S, CHEN C, et al. A sword with two edges: propagation studies on both positive and negative information in online social networks[J]. IEEE Transactions on Computers, 2015, 64(3):640-653. 10.1109/tc.2013.2295802
|
3 |
王晨旭,管晓宏,秦涛,等. 微博消息传播中意见领袖影响力建模研究[J]. 软件学报, 2015, 26(6):1473-1485. 10.13328/j.cnki.jos.004627
|
|
WANG C X, GUAN X H, QIN T, et al. Modeling on opinion leader’s influence in microblog message propagation and its application[J]. Journal of Software, 2015, 26(6): 1473-1485. 10.13328/j.cnki.jos.004627
|
4 |
YI Y X, ZHANG Z F, GAN C Q. The effect of social tie on information diffusion in complex networks[J]. Physical A: Statistical Mechanics and its Applications, 2018, 509:783-794. 10.1016/j.physa.2018.06.063
|
5 |
YANG L, QIAO Y F, LIU Z H, et al. Identifying opinion leader nodes in online social networks with a new closeness evaluation algorithm[J]. Soft Computing, 2018, 22(2): 453-464. 10.1007/s00500-016-2335-3
|
6 |
VEGA-OLIVEROS D A, GOMES P S, MILIOS E E, et al. A multi-centrality index for graph-based keyword extraction[J]. Information Processing and Management, 2019, 56(6): No.102063. 10.1016/j.ipm.2019.102063
|
7 |
李阅志,祝园园,钟鸣. 基于k-核过滤的社交网络影响最大化算法[J]. 计算机应用, 2018, 38(2):464-470. 10.1007/978-3-319-91452-7_24
|
|
LI Y Z, ZHU Y Y, ZHONG M. k-core filtered influence maximization algorithms in social networks[J]. Journal of Computer Applications, 2018, 38(2): 464-470. 10.1007/978-3-319-91452-7_24
|
8 |
QIU L Q, DAI J L, LIU H Y, et al. Detecting opinion leaders in online social network using HybridRank algorithm[J]. Journal of Intelligent and Fuzzy Systems, 2018, 35(1):513-522. 10.3233/jifs-169607
|
9 |
LI Y Y, MA S Q, ZHANG Y H, et al. An improved mix framework for opinion leader identification in online learning communities[J]. Knowledge-Based Systems, 2013, 43: 43-51. 10.1016/j.knosys.2013.01.005
|
10 |
GAO P Q, HUNG J, XU Y J. A k-core decomposition-based opinion leaders identifying method and clustering-based consensus model for large-scale group decision making[J]. Computers and Industrial Engineering, 2020, 150: No.106842. 10.1016/j.cie.2020.106842
|
11 |
LI J X, PENG W, LI T, et al. Social network user influence sense-making and dynamics prediction[J]. Expert Systems with Applications, 2014, 41(11): 5115-5124. 10.1016/j.eswa.2014.02.038
|
12 |
AGHDAM S M, NAVIMIPOUR N J. Opinion leaders selection in the social networks based on trust relationships propagation[J]. Karbala International Journal of Modern Science, 2016, 2(2): 88-97. 10.1016/j.kijoms.2016.02.002
|
13 |
XIA D G, MANKAD S, MICHAILIDIS G. Measuring influence of users in twitter ecosystems using a counting process modeling framework[J]. Technometrics, 2016, 58(3): 360-370. 10.1080/00401706.2016.1142906
|
14 |
ZHOU J Y, ZHANG Y L, CHENG J. Preference-based mining of top-K influential nodes in social networks[J]. Future Generation Computer Systems, 2014, 31: 40-47. 10.1016/j.future.2012.06.011
|
15 |
陈志雄,王时绘,高榕. 基于情感倾向性分析的微博意见领袖识别模型[J]. 计算机科学, 2018, 45(5): 168-175.
|
|
CHEN Z X, WANG S H, GAO R. Recognition model of microblog opinion leaders based on sentiment orientation analysis[J]. Computer Science, 2018, 45(5): 168-175.
|
16 |
WEI B, LIU J, WEI D J, et al. Weighted k-shell decomposition for complex networks based on potential edge weights[J]. Physical A: Statistical Mechanics and its Applications, 2015, 420: 277-283. 10.1016/j.physa.2014.11.012
|
17 |
YANG F, ZHANG R S, YANG Z, et al. Identifying the most influential spreaders in complex networks by an extended local K-Shell sum[J]. International Journal of Modern Physics C, 2017, 28(1): No.1750014. 10.1142/s0129183117500140
|
18 |
ZENG A, ZHANG C J. Ranking spreaders by decomposing complex networks[J]. Physics Letters A, 2013, 377(14): 1031-1035. 10.1016/j.physleta.2013.02.039
|
19 |
BAE J, KIM S. Identifying and ranking influential spreaders in complex networks by neighborhood soreness[J]. Physical A: Statistical Mechanics and its Applications, 2014, 395: 549-559. 10.1016/j.physa.2013.10.047
|
20 |
LIU J G, REN Z M, GUO Q. Ranking the spreading influence in complex networks[J]. Physica A: Statistical Mechanics and its Applications, 2013, 392(18): 4154-4159. 10.1016/j.physa.2013.04.037
|
21 |
HOU B N, YAO Y P, LIAO D S. Identifying all-around nodes for spreading dynamics in complex networks[J]. Physica A: Statistical Mechanics and its Applications, 2012, 391(15): 4012-4017. 10.1016/j.physa.2012.02.033
|
22 |
TONG X L, LIU J G, WANG J P, et al. Ranking the spreading ability of nodes in network core[J]. International Journal of Modern Physics C, 2015, 26(5): No.1550059. 10.1142/s012918311550059x
|
23 |
FREEMAN L C. Centrality in social networks conceptual clarification[J]. Social Networks, 1978/1979, 1(3): 215-239. 10.1016/0378-8733(78)90021-7
|
24 |
JUN S, LEE S, KWON O, et al. Grid-based traffic vulnerability analysis by using betweenness centrality[J]. Journal of the Korean Physical Society, 2020, 77(7):538-544. 10.3938/jkps.77.538
|
25 |
NEWMAN M. Networks: an introduction[J]. Astronomic Nachrichten, 2014, 327(8): 741-743. 10.1007/978-1-84457-793-4_1
|