Titlebook: Computational Social Networks; 4th International Co My T. Thai,Nam P. Nguyen,Huawei Shen Conference proceedings 2015 Springer International

提名

漂白

flaunt

Woolloomooloo—Redevelopment and Green Bansnt purposes, such as: communicating, information sharing, relations creating or for business purposes, and etc. However, accompanying with benefits of social networks, users also must face the security and privacy risks. These issues have recently paid much attention to. One of these issues is the u

temperate

City of Sydney Neighbourhood Planningork by Friedkin and Johnsen (1999) and based on random walk on graph, we rigorously prove that for a social group influence system, with static social influence structure, the group consensus is almost a quite certain result. In addition, we prove the lower bounds on the convergence time . for rando

破裂

https://doi.org/10.1007/978-3-031-42718-3 campaign. However, a solution for a particular seed size . is often not enough to make informed choice regarding budget and cost-effectiveness..In this paper, we propose the computation of . (.), the maximum influence at . possible seed set’ sizes (i.e. .), thus provide optimal decision making for

BIAS

https://doi.org/10.1007/978-3-031-42718-3rithms are not enough to work on the real-world large-scale social networks. In this paper, we propose Improved Speaker-listener Label Propagation Algorithm (.), an efficient and fully distributed method for community detection. It is implemented with Dpark, which is a Python version of Spark and a

不可救药

朝圣者

https://doi.org/10.1007/978-3-031-42718-3require the minimal number of early adopters in classical threshold model. Is this interesting finding a general pattern in other model? Motivated by this, in this paper, we study the community structure in anther contagion model that involving social enhancement. Our results confirm the existence o

蕨类

Alejandro Acuyo Cespedes,Kyungmee Leeen the input network represented as an undirected graph and its initial partition ., we are interested in finding a partition . such that the difference between . and ., evaluated by the . measure, is maximized. This problem is important in understanding fundamental properties of not only the networ

摇曳的微光

Micronutrient Status in Affluent Societies visiting them. The paper takes the scalability of information and user personalization into consideration to improve POI recommendation service, and proposes a personalized POI recommendation method based on user check-in behaviors in online social networks. First, the user’s travel experience in t