You can use R and STATA. STATA only can do it in frequentist approach but in R you can do it in both approaches.

You could try Condor - http://www.ickn.org/download.html

Condor is capable of determining the statistical and graph theory properties of a network, like betweenness centrality, BC, of actors, and group betweenness centrality and GBC.

Thank you so much for all of your suggestions.

Winbugs is the software perhaps most commonly used for bayesian NMA. if your endpoint is binary, we have developed an excel-based interface that increases the user friendliness of doing this. you might like to read the related paper if this sounds of interest:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4195340/

Good news - The free software MetaXL version 4.0 will be on www.epigear.com sometime next week. This will be the easiest and most robust implementation of network meta-analyses yet and should by and large make this methodology accessible freely to all mainstream researchers