Path selection for social network evolution map formation of start-up enterprises

2010 ◽  
Author(s):  
Peng Huatao
Keyword(s):  
Social Network ◽  
Network Evolution ◽  
Path Selection ◽  
Start Up ◽  
Selection For ◽  
Social Network Evolution

Analysis of Social Network Mutate in Start-Up Enterprises Evolution

2011 ◽  
Vol 181-182 ◽  
pp. 9-13
Author(s):  
Min Wang ◽  
Hua Tao Peng
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Environmental Changes ◽  
Network Evolution ◽  
Reverse Direction ◽  
Start Up ◽  
Mutation Theory ◽  
Basic Concepts ◽  
Definition Of ◽  
Social Network Evolution

In the process of evolution in Start-up Enterprises, its social networks will often occurred Mutations phenomenon because of environmental changes, the changing conditions, the reverse direction, management of error, etc. This paper analyzed the evolution in social network of Start-up Enterprises through the basic concepts of the theory of mutations, definition of mutations in Start-up Enterprises′ social network evolution, and the using of swallow-tail mutation theory; proposed countermeasures of how to make full use of social network to facilitate Start-up Enterprises timely and accurately identify mutations, take measures, reduce the loss which mutations brought.

Research on the Scale Mark Characteristic of Start-Up Enterprise Social Network Evolution Map

2011 ◽  
Vol 181-182 ◽  
pp. 1019-1024
Author(s):  
Hua Tao Peng
Keyword(s):  
Social Network ◽  
Dynamic Game ◽  
Network Evolution ◽  
Distribution Method ◽  
Characteristic Model ◽  
Multi Stage ◽  
Start Up ◽  
Map Scale ◽  
Social Network Evolution ◽  
Enterprise Social Network

This paper reveals the multi-stage dynamic game property of the social network evolution map of the start-up enterprise, puts forward the time value assumption, value distribution assumption and expectation value assumption of enterprise social network evolution, and constructs the scale mark characteristic model of social network evolution, and gets the result that in fixed value retained distribution method, this scale mark characteristic will be more prominent and the widths of all evolution map pedigrees’ scale marks are incremental. In one word, the evolution map scale mark will be influenced by uncertain external factors in terms of social network group value attributes.

Social network evolution in creative process of CNPD teams: a case study of Chinese companies

2018 ◽  
Vol 53 (1) ◽  
pp. 143-181 ◽  
Author(s):  
Wei Zhang ◽  
Yongli Li ◽  
Wenyao Zhang ◽  
Shengli Dai
Keyword(s):  
Social Network ◽  
Creative Process ◽  
Network Evolution ◽  
Chinese Companies ◽  
Social Network Evolution

Similarity-Based Indices or Metrics for Link Prediction

2019 ◽  
pp. 1-29
Author(s):  
Praveen Kumar Bhanodia ◽  
Kamal Kumar Sethi ◽  
Aditya Khamparia ◽  
Babita Pandey ◽  
Shaligram Prajapat
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Link Prediction ◽  
Online Social Network ◽  
Dynamic Networks ◽  
Relevant Information ◽  
Network Evolution ◽  
Problem Instance ◽  
The Social ◽  
Social Network Evolution

Link prediction in social network has gained momentum with the inception of machine learning. The social networks are evolving into smart dynamic networks possessing various relevant information about the user. The relationship between users can be approximated by evaluation of similarity between the users. Online social network (OSN) refers to the formulation of association (relationship/links) between users known as nodes. Evolution of OSNs such as Facebook, Twitter, Hi-Fi, LinkedIn has provided a momentum to the growth of such social networks, whereby millions of users are joining it. The online social network evolution has motivated scientists and researchers to analyze the data and information of OSN in order to recommend the future friends. Link prediction is a problem instance of such recommendation systems. Link prediction is basically a phenomenon through which potential links between nodes are identified on a network over the period of time. In this chapter, the authors describe the similarity metrics that further would be instrumental in recognition of future links between nodes.

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