Modeling community succession and assembly: A novel method for network evolution

The process of modeling community succession and assembly is in some sense a method for network evolution, as done by Barabasi and Albert (1999). It is also one of the methods to create a sample network from the statistic network I proposed earlier. I think that the mechanism of network evolution supposed by Barabasi and Albert is most likely applicable to the natural phenomena with emergency property. For natural phenomena without emergency property, the present study indicated that a scale-free network may be produced through a new mechanism, i.e., whether the connection of a taxon x occurs, dependent on the type and property of taxon y (in particular, the degree of its direct correlation with x) to be connected but not necessarily the existing number of connections of taxon y, as proposed in present study.

[1]  Neo D. Martinez,et al.  Food-web structure and network theory: The role of connectance and size , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[2]  WenJun Zhang.  Computational Ecology: Graphs, Networks and Agent-Based Modeling , 2012 .

[3]  Robi Tacutu,et al.  Immunoregulatory network and cancer-associated genes: molecular links and relevance to aging , 2011 .

[4]  WenJun Zhang.  A Java software for drawing graphs , 2012 .

[5]  P. Hraber,et al.  Community assembly in a model ecosystem , 1997 .

[6]  Robert M. May,et al.  Stability and Complexity in Model Ecosystems , 2019, IEEE Transactions on Systems, Man, and Cybernetics.

[7]  Wenjun Zhang.  Constructing ecological interaction networks by correlation analysis : hints from community sampling , 2011 .

[8]  Wenjun Zhang,et al.  Some effects of parasitism on food web structure : a topological analysis , 2011 .

[9]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[10]  C. Bagowski,et al.  The role of protein interaction domains in the human cancer network , 2011 .

[11]  T. Case,et al.  Invasion resistance arises in strongly interacting species-rich model competition communities. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Carsten F. Dormann,et al.  How to be a specialist? Quantifying specialisation in pollination networks , 2011 .

[13]  Gianfranco Bazzoni,et al.  The polarity sub-network in the yeast network of protein-protein interactions , 2011 .

[14]  Neo D. Martinez,et al.  Improving Food Webs , 1993 .

[15]  An algorithm for calculation of degree distribution and detection of network type: with application in food webs , 2011 .

[16]  L. Milne,et al.  The Balance of Nature , 1953, Oryx.

[17]  WenJun Zhang.  How to construct the statistic network? An association network of herbaceous plants constructed from field sampling , 2012 .