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Introduction
•	Social niche construction describes a phenomenon that
occurs when an organism actively alters its social en-
vironment to better the condition of its present social
niche1
•	The clustering coefficient of a forked fungus beetle (Bo-
litotherus cornutus) has been shown to negatively cova-
ry with its fitness2
•	Social network metrics are mathematical descriptions
of an individual’s location in a social network
•	Strength, and betweeness are network metrics that are
measure of centrality within a social network. Cluster-
ing coefficient is a measure of cliquishness.
Methodology
•	Network data from two large populations was split into
two halves of the field season from July to August
•	Three network metrics were included- strength, be-
tweeness, and clustering coefficient
•	Analysis was run separately for the sexes
•	Network data was calculated from a joint sex network
and all network data was standardized at T1
and T2
be-
fore the change was calculated (T2
- T1
)
•	Fitness was mesaured using sex-specific data. Num-
ber of times guarding was observed was used for males.
Number of times laying was observed was used for fe-
males.
•	A generalized linear model was used in conjunction
with a Poisson distribution
Results
Conclusions
•	Individuals that became less “cliquish” (a decrease in
clustering coefficient) had higher fitness in August
•	Changes in strength and betweeness were not found
to significantly covary with individual fitness among
males and females (Data not shown)
Acknowledgements
I would like to thank my mentor, Vince Formica, Beetle
Crew, and the Swarthmore College Biology department
for making this research possible
Citations
1
Formica 2012. Fitness consequences of social network position in a wild
population of forked fungus beetles. Journal of Evolutionary Biology.
25(130-137)
2
Saltz 2015. What, if anything, is a social niche? Evolutionary Ecology.
30(349-364)
Questions
•	Do forked fungus beetles that change their social net-
work position have higher fitness?
•	Is there sufficient evidence to show that social niche
construction occurs among wild beetle populations?
Figure 1. Fitness effects of a change in clustering coeffi-
cient from July to August (p = 0.0033).
Figure 2. No fitness effects of a change in clustering coeffi-
cient from July to August(p = 0.7719).
Evidence of social niche construction in Bolitotherus cornutus
Robert Hwang, Vince Formica
Department of Biology, Swarthmore College, Swarthmore PA
Clustering Coefficient- the measure to which the
social partners of one individual are connected
to one another. If Individual A changed to Indi-
vidual C over the course of one field season, the
change would be a decrease in clustering coeffi-
cient.
http://tberg.dk/bl-content/uploads/clusteringcoefficientexample_0_.
Males Females
A B C
Population
Elytra Size (mm)
Change in network
metric
Elytra Size (mm)
Population
Change in network
metric
Males Females
Clustering Coefficient Clustering Coefficient
LR Chisq Df P-Value LR Chisq Df P-Value
8.455 1
1
1
1.071
8.231
0.004
0.004
0.301
2.796
4.036
0.840
1
1
1
0.045
0.095
0.840

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Final master version FINAL

  • 1. Introduction • Social niche construction describes a phenomenon that occurs when an organism actively alters its social en- vironment to better the condition of its present social niche1 • The clustering coefficient of a forked fungus beetle (Bo- litotherus cornutus) has been shown to negatively cova- ry with its fitness2 • Social network metrics are mathematical descriptions of an individual’s location in a social network • Strength, and betweeness are network metrics that are measure of centrality within a social network. Cluster- ing coefficient is a measure of cliquishness. Methodology • Network data from two large populations was split into two halves of the field season from July to August • Three network metrics were included- strength, be- tweeness, and clustering coefficient • Analysis was run separately for the sexes • Network data was calculated from a joint sex network and all network data was standardized at T1 and T2 be- fore the change was calculated (T2 - T1 ) • Fitness was mesaured using sex-specific data. Num- ber of times guarding was observed was used for males. Number of times laying was observed was used for fe- males. • A generalized linear model was used in conjunction with a Poisson distribution Results Conclusions • Individuals that became less “cliquish” (a decrease in clustering coefficient) had higher fitness in August • Changes in strength and betweeness were not found to significantly covary with individual fitness among males and females (Data not shown) Acknowledgements I would like to thank my mentor, Vince Formica, Beetle Crew, and the Swarthmore College Biology department for making this research possible Citations 1 Formica 2012. Fitness consequences of social network position in a wild population of forked fungus beetles. Journal of Evolutionary Biology. 25(130-137) 2 Saltz 2015. What, if anything, is a social niche? Evolutionary Ecology. 30(349-364) Questions • Do forked fungus beetles that change their social net- work position have higher fitness? • Is there sufficient evidence to show that social niche construction occurs among wild beetle populations? Figure 1. Fitness effects of a change in clustering coeffi- cient from July to August (p = 0.0033). Figure 2. No fitness effects of a change in clustering coeffi- cient from July to August(p = 0.7719). Evidence of social niche construction in Bolitotherus cornutus Robert Hwang, Vince Formica Department of Biology, Swarthmore College, Swarthmore PA Clustering Coefficient- the measure to which the social partners of one individual are connected to one another. If Individual A changed to Indi- vidual C over the course of one field season, the change would be a decrease in clustering coeffi- cient. http://tberg.dk/bl-content/uploads/clusteringcoefficientexample_0_. Males Females A B C Population Elytra Size (mm) Change in network metric Elytra Size (mm) Population Change in network metric Males Females Clustering Coefficient Clustering Coefficient LR Chisq Df P-Value LR Chisq Df P-Value 8.455 1 1 1 1.071 8.231 0.004 0.004 0.301 2.796 4.036 0.840 1 1 1 0.045 0.095 0.840