Before revision:  We show that Shannon's information entropy, compressibility and algorithmic complexity quantify different  aspects of synthetic and biological networks at the intersection of local and global pattern detection.
After revision:  We show that Shannon's information entropy, compressibility and algorithmic complexity quantify different local and global aspects of synthetic and biological networks at the intersection of local and global pattern detection.