A Mathematical Bibliography of
Signed and Gain Graphs
and Allied Areas

Compiled by

Thomas Zaslavsky
Department of Mathematical Sciences
Binghamton University
Binghamton, New York, U.S.A. 13902-6000

E-mail: zaslav@math.binghamton.edu
Home page of signed graphs..

Sixth Edition, Revision b

1998 September 10

Mathematical Subject Classifications (1991): Primary 05-02, 05C99; Secondary 05B20, 05B25, 05B35, 05C10, 05C15, 05C20, 05C25, 05C30, 05C35, 05C38, 05C45, 05C50, 05C60, 05C65, 05C70, 05C75, 05C80, 05C85, 05C90, 05E25, 05E30, 06A07, 06A09, 05C10, 15A06, 15A15, 15A39, 15A99, 20B25, 20F55, 34C11, 51D20, 51E20, 52B12, 52B30, 52B40, 52C07, 68Q15, 68Q25, 68Q35, 68R10, 82B20, 82D30, 90A08, 90B10, 90C08, 90C27, 90C35, 90C60, 92D40, 92E10, 92H30, 92J10, 92K10, 94B25.

Copyright © 1996, 1998 Thomas Zaslavsky

Preface

A signed graph is a graph whose edges are labeled by signs. This is a bibliography of signed graphs and related mathematics. I regard as fundamental the notion of balance of a circuit (sign product equals +, the sign group identity) and the vertex-edge incidence matrix (whose column for a negative edge has two +1's or two -1's, for a positive edge one +1 and one -1, the rest being zero). Hence I have included work on gain graphs (where the edge labels are taken from any group) and ``consistency'' in vertex-signed (or ``marked'') graphs (where the vertices are signed), and generalizable work on two-graphs (the set of unbalanced triangles of a signed complete graph) and on even and odd polygons and paths in graphs and digraphs.

Nevertheless, it was not always easy to decide what belongs. I have employed the following principles:

Only works with mathematical content are included, except for a few representative purely applied papers and surveys. I do try to include:

As for applications, besides works with appropriate mathematical content I include a few (not very carefully) selected representatives of less mathematical papers and surveys, either for their historical importance (e.g., Heider (1946a)) or as entrances to the applied literature (e.g., Taylor (1970a) and Wasserman and Faust (1993a) for psychosociology and Trinajstic (1983a) for chemistry). Particular difficulty is presented by spin glass theory in statistical physics--that is, Ising models and generalizations. Here one usually averages random signs and weights over a probability distribution; the problems and methods are rarely graph-theoretic, the topic is very specialized and hard to annotate properly, but it clearly is related to signed (and gain) graphs and suggests some interesting lines of graph-theoretic research. See M$eacute;zard, Parisi, and Virasoro (1987a) and citations in its annotation.

Plainly, judgment is required to apply these criteria. I have employed mine freely, taking account of suggestions from my colleagues. Still I know that the bibliography is far from complete, due to the quantity and even more the enormous range and dispersion of work in the relevant areas. I will continue to add both new and old works to future editions and I heartily welcome further suggestions.

There are certainly many errors, some of them egregious. For these I hand over responsibility to Sloth, Pride, Ambition, Envy, and Confusion. Corrections, however, will be gratefully accepted by me.

Notes on Entries.

Authors' names are given usually in only one form, even should the name appear in different (but recognizably similar) forms on different publications. Journal abbreviations follow the style of Mathematical Reviews (MR) with minor `improvements'. Reviews and abstracts are cited from MR and its electronic form MathSciNet, from Zentralblatt für Mathematik (Zbl.) and its electronic form MATH Database (For early volumes, ``Zbl. VVV, PPP'' denotes printed volume and page; the electronic item number is ``(e VVV.PPPNN)''.), and occasionally from Chemical Abstracts (CA). A review marked (q.v.) has significance, possibly an insight, a criticism, or a viewpoint orthogonal to mine.

Some--not all--of the most fundamental works are marked with a dagger. This is a personal selection.

Notes on Annotations.

I try to describe the relevant content in a consistent terminology and notation, in the language of signed graphs despite occasional clumsiness (hoping that this will suggest generalizations), and sometimes with my [bracketed] editorial comments. I sometimes try also to explain idiosyncratic terminology, in order to make it easier to read the original item. Several of the annotations incorporate open research problems (of varying degrees of importance). I use these standard symbols:

Gamma
is a graph (undirected), possibly allowing loops and multiple edges. It is normally finite unless otherwise indicated.
Sigma
is a signed graph. V and E are its vertex and edge sets; n = |V|. E+, E- are the sets of positive and negative edges and Sigma+, Sigma- are the corresponding spanning subgraphs (unsigned).
[Sigma]
is the switching class of Sigma.
A( )
is the adjacency matrix.
Phi
is a gain graph.
Omega
is a biased graph.
l( )
is the frustration index (= line index of imbalance).
G( )
is the bias matroid of a signed, gain, or biased graph.

Acknowledgement.

I cannot name all the people who have contributed advice and criticism, but many of the annotations have benefited from suggestions by the authors or others and a number of items have been brought to my notice by helpful correspondents. I am very grateful to you all. Thanks also to the people who maintain the invaluable MR and Zbl. indices. However, I insist on my total responsibility for the final form of all entries, including such things as my restatement of results in signed or gain graphic language and, of course, all the praise and criticism (but not errors; see above) that they contain.

Subject Classification Codes

A code in lower case means the topic appears implicitly but not explicitly.

A suffix w on SG, SD, VS denotes signs used as weights, i.e., treated as the numbers +1 and -1, added, and (usually) the sum compared to 0.

In a string of codes a colon indicates subcategorization.

A
Adjacency matrix, eigenvalues.
Alg
Algorithms.
Appl
Applications other than (Chem), (Phys), (PsS) (partial coverage).
Aut
Automorphisms, symmetries, group actions.
B
Balance (mathematical), cobalance.
Bic
Bicircular matroids.
Col
Vertex coloring.
ECol
Edge coloring.
Chem
Applications to chemistry (partial coverage).
Cl
Clusterability.
Cov
Covering graphs, double coverings.
D
Duality (matroids or matrices).
E
Enumeration of types of signed graphs, etc.
EC
Even-cycle matroids.
Exr
Interesting exercises (in an expository work).
Exp
Expository.
Fr
Frustration index (line index of imbalance) and other measures of imbalance.
G
Connections with geometry, including toric varieties, complex complement, etc.
Gen
Generalization.
GD
Digraphs with gains (or voltages).
GG
Gain graphs, voltage graphs, biased graphs; includes Dowling lattices.
GN
Generalized or gain networks. (Multiplicative real gains.)
I
Incidence matrix, Kirchhoff matrix.
K
Signed complete graphs.
Knot
Connections with knot theory (sparse coverage if signs are purely notational).
LG
Line graphs.
M
Matroids, chain-groups, flows.
N
Numerical and algebraic invariants of signed graphs, etc.
O
Orientations, bidirected graphs.
OG
Ordered gains.
P
All-negative or antibalanced signed graphs; parity-biased graphs.
p
Includes problems on even or odd length of paths or polygons (partial coverage).
Phys
Applications in physics (partial coverage).
PsS
Psychological, sociological, and anthropological applications (partial coverage).
QM
Qualitative (sign) matrices: sign stability, sign solvability, etc. (sparse coverage).
Rand
Random signs or gains, signed or gain graphs.
Ref
Many references.
S
Signed objects other than graphs and hypergraphs: mathematical properties.
SD
Signed digraphs: mathematical properties.
SG
Signed graphs: mathematical properties.
SH
Signed hypergraphs: mathematical properties.
Sol
Sign solvability, sign nonsingularity (partial coverage).
Sta
Sign stability (partial coverage).
Str
Structure theory.
Sw
Switching of signs or gains.
T
Topology of the graph, surface embeddings.
TG
Two-graphs, graph (Seidel) switching (partial coverage).
VS
Vertex-signed graphs (``marked graphs''); signed vertices and edges.
WD
Weighted digraphs.
WG
Weighted graphs.






Last modified 1998 Sep 14

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