### Table 1. Structure chart of the community clustering in our system

2002

"... In PAGE 11: ... However, experience shows that k2 = 2*k1 is a balanced presetting. Table1 contains a structure chart of our community clustering process. Table 1.... ..."

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### Table 4 Results for sample blogs from sense of community survey and structural analysis

"... In PAGE 15: ...3 Measure community The network centrality measures calculated in Table 3 show that there may be a range of centrality measures that correspond to situations where a blog forms part of a community. We explore these further and compare them with the SOC scores computed from the SOC survey in Table4 for only those blogs whose bloggers responded to the survey and who had their blogs hosted on MSN Spaces. Four of these MSN Spaces blogs (45, 50, 34 and 343) were in the MSN Spaces blog network surrounding the indie music blog (Figure 11), while the remaining MSN Spaces blogs (605 and 606) were not located in the network because they were only blog readers and did not make comments.... In PAGE 16: ... Chin and M. Chignell For the blogs found in the set of possible communities of Figure 11 (45, 50, 34), we discovered that the total SOC index was higher (36, 48, and 44, respectively) than the other blogs, as shown from Table4 . This suggests that there may be a correlation between the total SOC index measure of strength of community and the social network analytic indicators of community.... In PAGE 16: ... Since the individual SOC subscales also vary, we hypothesise that virtual community, in contrast to physical community, relies more on a subset only of the four indicators (subscales) of sense of community. The degree, betweenness and closeness centrality for blogs 45, 50 and 34 (shown in Table4 ), tended to be higher than the corresponding measures for other blogs. Thus, as for the SOC scores, the variation in centrality measures may indicate strength of community.... ..."

### TABLE 5 Organizational Structure of the Greater Pittsburgh Community Food Bank, 1999

### Table 4 College football network: highest modularities obtained using different approaches and their corresponding community structure computed for the true network (Q) and for the null hypothesis (QH0).

2006

"... In PAGE 16: ... 3 All algorithms are able to partition the network into communities. The highest value of the modularity Q for each algorithm has been determined and the result is reported in Table4 together with the corresponding community structure and the results of the null hypothesis test. Table 4 College football network: highest modularities obtained using different approaches and their corresponding community structure computed for the true network (Q) and for the null hypothesis (QH0).... In PAGE 17: ... There are only three teams that are misclassified. For the partitions of Table4 the distance from the original division of the set has been computed using both measures mmoved and mdiv. The results are illustrated in Table 5 and in Fig.... ..."

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### Table 1 Karate club: highest modularities obtained using different approaches and their correspond- ing community structure computed for the true network (Q) and for the rewired network representing the null hypothesis (QH0). Algorithm Q No of clusters

2006

"... In PAGE 10: ... The three different clustering schemes (hierarchical clustering (sum of paths) is discarded) are applied to the rewired network and the modularity Q is computed. This procedure is repeated 100 times, and the results are shown in Table1 . For each clustering procedure the mean of the Q value is computed over all the repetitions.... In PAGE 12: ... Table 2 Distance between partitions A and B of Example 1 where distA (distB) denotes distance from A (B) to the meet and distAB the total distance between partitions. Method distA distB distAB mmoved 3 2 5 mdiv 2 1 3 For the partitions of Table1 for the Karate club, the distance from the original division of the set (the one represented in Fig. 2) has been computed using both definitions given above.... ..."

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### Table 1 Karate club: highest modularities obtained using different approaches and their corresponding community structure computed for the true network (Q) and for the rewired network representing the null hypothesis (QH0)

2006

"... In PAGE 8: ... The three different clustering schemes (hierarchical clustering (sum of paths) is discarded) are applied to the rewired network and the modularity Q is computed. This procedure is repeated 100 times, and the results are shown in Table1 . For each clustering procedure the mean of the Q value is computed over all the repetitions.... In PAGE 9: ... If the distance computed by mdiv is much smaller than the distance given by mmoved, it means that many subpartitions are present; elements belonging to the same original partitions are grouped together. For the partitions of Table1 for the Karate club, the distance from the original division of the set (the one represented in Fig. 2) has been computed using both definitions given above.... ..."

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### TABLE 1 Code Definition of Observations of Routine Tasks, Organizational Structure, and Data Input for the Massachusetts Community Planning Group (CPG)

2008

### Table 9b. Resale Price Comparison for an Average 19 years old Structure in Los Angeles, Different Income Communities

2006

"... In PAGE 43: ...42 Table9 . Resale Price Comparison for an Average 19 years old Structure in Los Angeles The following Tables present the estimated resale prices for the average 19 years old mobile home units in each subgroup in Los Angeles County, under different rent control regimes.... In PAGE 43: ... By using the average units apos; characteristics and the parameters estimated in Table 7, we can simulate the resale prices as presented here. Table9 a. Resale Price Comparison for an Average 19 years old Structure in Los Angeles Rent Control Regime Resale price comparison for an average 19 years old structure No rent control Under rent control without vacancy decontrol Under rent control with vacancy decontrol Adoption of rent control without vacancy decontrol Adoption of rent control with vacancy decontrol Resale price $43,263 $43,263 $42,588 $48,824 $39,656 Price increase $2,519 $2,519 $1,845 $8,081 -$1,088 Growth rate (percentage) 6.... In PAGE 44: ...47 -5.16 Table9 c. Resale Price Comparison for an Average 19 years old Structure in Los Angeles, Different Age Communities High Proportion of Elderly Population Low Proportion of Elderly Population Resale price comparison for an average 19 years old structure No rent control Under rent control without vacancy decontrol Under rent control with vacancy decontrol Adoption of rent control without vacancy decontrol Adoption of rent control with vacancy decontrol No rent control Under rent control without vacancy decontrol Under rent control with vacancy decontrol Adoption of rent control without vacancy decontrol Adoption of rent control with vacancy decontrol Resale price $47,383 $50,199 $48,503 $51,030 $46,435 $39,892 $38,574 $38,796 $49,560 $34,617 Price increase $4,903 $7,720 $6,024 $8,550 $3,956 $938 -$381 -$159 $10,605 -$4,338 Growth rate (percentage) 11.... In PAGE 45: ...44 Table9 d. Resale Price Comparison for an Average 19 years old Structure in Los Angeles, Different Income and Age Communities High Income amp; High Proportion of Elderly High Income amp; Low Proportion of Elderly Resale price comparison for an average 19 years old structure No rent control Under rent control without vacancy decontrol Under rent control with vacancy decontrol Adoption of rent control without vacancy decontrol Adoption of rent control with vacancy decontrol No rent control Under rent control without vacancy decontrol Under rent control with vacancy decontrol Adoption of rent control without vacancy decontrol Adoption of rent control with vacancy decontrol Resale price $47,132 $54,326 $47,132 $52,407 $48,534 $41,229 $41,229 $41,229 $55,365 $34,640 Price increase $3,069 $10,263 $3,069 $8,344 $4,471 -$799 -$799 -$799 $13,337 -$7,388 Growth rate (percentage) 6.... ..."

### Table A 4.1 Decrease of cultivated area in 1988 (in hundred hectares). Construction by state-owned units Construction by rural communities Conversion of agricultural structure

1998

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### Table A 4.2 Decrease of cultivated area in 1989 (in hundred hectares). Construction by state-owned units Construction by rural communities Conversion of agricultural structure

1998

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