Using Social Networking Software to Promote Digital Libraries1

Banciu, Doina; Pitic, Antoniu Gabriel; Volovici, Daniel; Mitea, Adi Cristina

doi:10.24846/v21i2y201212

Cited by 2 publications

(7 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, simulation studies are given to the proposed leader-follower opinion formation model (1) - (2). We mainly investigate the roles of opinion leaders in the collective opinion dynamics from the following three aspects: the leader fraction, the size of social network and the trust degree on opinion leaders.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…When the confidence levels of the followers are less than 0.04, the guiding powers of the leaders are very weak. In the original HK model, there are no opinion leaders; the final opinion distribution is determined by the confidence levels of the opinion followers [2][3].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Recently great attention has been paid to social network science, which concerns the influence of the networking structure and the social behavior of individuals in the networks. The references [1][2][3][4][5] investigated some interesting social behaviors, such as patter searching, online recommendation, reputation formation, et al, on computer networks. The references [6][7] considered decision making clustering for social networks.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Bounded Confidence-based Opinion Formation for Opinion Leaders and Opinion Followers on Social Networks

Zhao¹,

Kou²

2014

SIC

View full text Add to dashboard Cite

Opinion dynamics is a complex collective behavior in human societies. When individuals exchange opinions with others, they usually adopt a bounded confidence rule and only accept the opinions within the confidence range. Furthermore, individuals are heterogeneous in real social systems. Thus, they have distinct confidence levels, and also play different roles in the collective opinion formation. In this paper, a leader-follower bounded confidence model is proposed for a group of social agents, who have heterogeneous confidence levels, at the same time, come from two subgroups: opinion leaders and opinion followers. Simulation results are obtained for the collective opinion evolution influenced by three factors: the leader fraction, the group size and the trust degree. The results show that the roles of opinion leaders are remarkable when the opinion followers have high confidence levels and trust degrees.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Bounded Confidence-based Opinion Formation for Opinion Leaders and Opinion Followers on Social Networks

Zhao¹,

Kou²

2014

SIC

View full text Add to dashboard Cite

show abstract

“…Obviously, the two indexes of model 2 are both higher than that of model 1. [13]. A triangle consists of three closed triplets, one centered on each of the nodes.…”

Section: Mean Of Degree and Number Of Nodesmentioning

confidence: 99%

“…A triangle consists of three closed triplets, one centered on each of the nodes. Formally, it has been defined as [13]:…”

Section: Mean Of Degree and Number Of Nodesmentioning

confidence: 99%

A Model for E-commerce Market Network with Improved Evolution Mechanism

Tian¹,

Zhang²,

Guan³

2014

SIC

View full text Add to dashboard Cite

In order to investigate the formation of e-commerce market network, this paper describes an analytical framework from a complex network point of view which contains three steps-definition of network, analysis of network topology and analysis of network environment. Then, an innovative model for explaining the evolutionary process is proposed, with several original factorsgrowth-factor, select-order-factor, preferential attachment mechanism and global-local-factor. Our research reveals that the attraction mechanism impacts evolutionary trend and network structure to some extent, and also reveals that the global-local-factor and select-order-factor impact the evolutionary structure of the network, the smaller the probability, the smaller the concentration of networks and the more obvious the randomness are. In order to analyze the impact of edge-increasing mechanism on network evolutionary trend, a contrast test is designed with two models. The test reveals that the edge-increasing mechanism makes the network become a small world with a lower average distance and a higher clustering coefficient, and makes it be like a scale-free network with a lower power-law exponent and a higher centralization.

show abstract

Using Social Networking Software to Promote Digital Libraries1

Cited by 2 publications

References 3 publications

Bounded Confidence-based Opinion Formation for Opinion Leaders and Opinion Followers on Social Networks

Bounded Confidence-based Opinion Formation for Opinion Leaders and Opinion Followers on Social Networks

A Model for E-commerce Market Network with Improved Evolution Mechanism

Contact Info

Product

Resources

About